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R/datasets.R
In BGGM: Bayesian Gaussian Graphical Models
#' Data: Post-Traumatic Stress Disorder
#'
#' A dataset containing items that measure Post-traumatic stress disorder symptoms \insertCite{armour2017network}{BGGM}.
#' There are 20 variables (\emph{p}) and 221 observations (\emph{n}).
#'
#' \itemize{
#' \item Intrusive Thoughts
#' \item Nightmares
#' \item Flashbacks
#' \item Emotional cue reactivity
#' \item Psychological cue reactivity
#' \item Avoidance of thoughts
#' \item Avoidance of reminders
#' \item Trauma-related amnesia
#' \item Negative beliefs
#' \item Negative trauma-related emotions
#' \item Loss of interest
#' \item Detachment
#' \item Restricted affect
#' \item Irritability/anger
#' \item Self-destructive/reckless behavior
#' \item Hypervigilance
#' \item Exaggerated startle response
#' \item Difficulty concentrating
#' \item Sleep disturbance
#' }
#'
#' @docType data
#'
#' @keywords datasets
#'
#' @name ptsd
#'
#' @usage data("ptsd")
#'
#' @references
#'
#' \insertAllCited{}
#'
#' @format A dataframe with 221 rows and 20 variables
NULL
#' Data: Post-Traumatic Stress Disorder (Sample # 1)
#'
#' A correlation matrix that includes 16 variables. The correlation matrix was estimated from 526
#' individuals \insertCite{fried2018replicability}{BGGM}.
#'
#' \itemize{
#' \item Intrusive Thoughts
#' \item Nightmares
#' \item Flashbacks
#' \item Physiological/psychological reactivity
#' \item Avoidance of thoughts
#' \item Avoidance of situations
#' \item Amnesia
#' \item Disinterest in activities
#' \item Feeling detached
#' \item Emotional numbing
#' \item Foreshortened future
#' \item Sleep problems
#' \item Irritability
#' \item Concentration problems
#' \item Hypervigilance
#' \item Startle response
#' }
#'
#' @docType data
#'
#' @keywords datasets
#'
#' @name ptsd_cor1
#'
#' @examples
#'
#' data(ptsd_cor1)
#'
#' Y <- MASS::mvrnorm(n = 526,
#' mu = rep(0, 16),
#' Sigma = ptsd_cor1,
#' empirical = TRUE)
#'
#' @references
#'
#' \insertAllCited{}
#'
#' @format A correlation matrix with 16 variables
NULL
#' Data: Post-Traumatic Stress Disorder (Sample # 2)
#'
#' A correlation matrix that includes 16 variables. The correlation matrix
#' was estimated from 365 individuals \insertCite{fried2018replicability}{BGGM}.
#'
#' \itemize{
#' \item Intrusive Thoughts
#' \item Nightmares
#' \item Flashbacks
#' \item Physiological/psychological reactivity
#' \item Avoidance of thoughts
#' \item Avoidance of situations
#' \item Amnesia
#' \item Disinterest in activities
#' \item Feeling detached
#' \item Emotional numbing
#' \item Foreshortened future
#' \item Sleep problems
#' \item Irritability
#' \item Concentration problems
#' \item Hypervigilance
#' \item Startle response
#' }
#'
#' @docType data
#'
#' @keywords datasets
#'
#' @name ptsd_cor2
#'
#' @examples
#' data(ptsd_cor2)
#' Y <- MASS::mvrnorm(n = 365,
#' mu = rep(0, 16),
#' Sigma = ptsd_cor2,
#' empirical = TRUE)
#' @references
#'
#' \insertAllCited{}
#'
#' @format A correlation matrix with 16 variables
NULL
#' Data: Post-Traumatic Stress Disorder (Sample # 3)
#'
#' A correlation matrix that includes 16 variables. The correlation matrix
#' was estimated from 926 individuals \insertCite{fried2018replicability}{BGGM}.
#'
#' \itemize{
#'
#' \item Intrusive Thoughts
#' \item Nightmares
#' \item Flashbacks
#' \item Physiological/psychological reactivity
#' \item Avoidance of thoughts
#' \item Avoidance of situations
#' \item Amnesia
#' \item Disinterest in activities
#' \item Feeling detached
#' \item Emotional numbing
#' \item Foreshortened future
#' \item Sleep problems
#' \item Irritability
#' \item Concentration problems
#' \item Hypervigilance
#' \item Startle response
#' }
#'
#' @docType data
#'
#' @keywords datasets
#'
#' @name ptsd_cor3
#'
#' @examples
#' data(ptsd_cor3)
#' Y <- MASS::mvrnorm(n = 926,
#' mu = rep(0, 16),
#' Sigma = ptsd_cor3,
#' empirical = TRUE)
#'
#' @references
#'
#' \insertAllCited{}
#'
#' @format A correlation matrix with 16 variables
#'
NULL
#' Data: Post-Traumatic Stress Disorder (Sample # 4)
#'
#' A correlation matrix that includes 16 variables. The correlation matrix
#' was estimated from 965 individuals \insertCite{fried2018replicability}{BGGM}.
#'
#' \itemize{
#' \item Intrusive Thoughts
#' \item Nightmares
#' \item Flashbacks
#' \item Physiological/psychological reactivity
#' \item Avoidance of thoughts
#' \item Avoidance of situations
#' \item Amnesia
#' \item Disinterest in activities
#' \item Feeling detached
#' \item Emotional numbing
#' \item Foreshortened future
#' \item Sleep problems
#' \item Irritability
#' \item Concentration problems
#' \item Hypervigilance
#' \item Startle response
#' }
#'
#' @docType data
#'
#' @keywords datasets
#'
#' @name ptsd_cor4
#'
#' @examples
#' data(ptsd_cor4)
#' Y <- MASS::mvrnorm(n = 965,
#' mu = rep(0, 16),
#' Sigma = ptsd_cor4,
#' empirical = TRUE)
#'
#' @references
#'
#' \insertAllCited{}
#'
#' @format A correlation matrix with 16 variables
NULL
#' Data: 25 Personality items representing 5 factors
#'
#' This dataset and the corresponding documentation was taken from the \strong{psych} package. We refer users to that
#' package for further details \insertCite{psych}{BGGM}.
#'
#' \itemize{
#' \item \code{A1} Am indifferent to the feelings of others. (q_146)
#' \item \code{A2} Inquire about others' well-being. (q_1162)
#' \item \code{A3} Know how to comfort others. (q_1206)
#' \item \code{A4} Love children. (q_1364)
#' \item \code{A5} Make people feel at ease. (q_1419)
#' \item \code{C1} Am exacting in my work. (q_124)
#' \item \code{C2} Continue until everything is perfect. (q_530)
#' \item \code{C3} Do things according to a plan. (q_619)
#' \item \code{C4} Do things in a half-way manner. (q_626)
#' \item \code{C5} Waste my time. (q_1949)
#' \item \code{E1} Don't talk a lot. (q_712)
#' \item \code{E2} Find it difficult to approach others. (q_901)
#' \item \code{E3} Know how to captivate people. (q_1205)
#' \item \code{E4} Make friends easily. (q_1410)
#' \item \code{E5} Take charge. (q_1768)
#' \item \code{N1} Get angry easily. (q_952)
#' \item \code{N2} Get irritated easily. (q_974)
#' \item \code{N3} Have frequent mood swings. (q_1099)
#' \item \code{N4} Often feel blue. (q_1479)
#' \item \code{N5} Panic easily. (q_1505)
#' \item \code{o1} Am full of ideas. (q_128)
#' \item \code{o2} Avoid difficult reading material.(q_316)
#' \item \code{o3} Carry the conversation to a higher level. (q_492)
#' \item \code{o4} Spend time reflecting on things. (q_1738)
#' \item \code{o5} Will not probe deeply into a subject. (q_1964)
#' \item \code{gender} Males = 1, Females =2
#' \item \code{education} 1 = HS, 2 = finished HS, 3 = some college, 4 = college graduate 5 = graduate degree
#' }
#'
#' @docType data
#'
#' @keywords datasets
#'
#' @name bfi
#'
#' @usage data("bfi")
#'
#' @references
#'
#' \insertAllCited{}
#'
#' @format A data frame with 25 variables and 2800 observations (including missing values)
NULL
#' Data: Contingencies of Self-Worth Scale (CSWS)
#'
#' A dataset containing items from the Contingencies of Self-Worth Scale (CSWS) scale. There are 35 variables and
#' 680 observations
#'
#' \itemize{
#' \item \code{1} When I think I look attractive, I feel good about myself
#' \item \code{2} My self-worth is based on God's love
#' \item \code{3} I feel worthwhile when I perform better than others on a task or skill.
#' \item \code{4} My self-esteem is unrelated to how I feel about the way my body looks.
#' \item \code{5} Doing something I know is wrong makes me lose my self-respect
#' \item \code{6} I don't care if other people have a negative opinion about me.
#' \item \code{7} Knowing that my family members love me makes me feel good about myself.
#' \item \code{8} I feel worthwhile when I have God's love.
#' \item \code{9} I can’t respect myself if others don't respect me.
#' \item \code{10} My self-worth is not influenced by the quality of my relationships with my family members.
#' \item \code{11} Whenever I follow my moral principles, my sense of self-respect gets a boost.
#' \item \code{12} Knowing that I am better than others on a task raises my self-esteem.
#' \item \code{13} My opinion about myself isn't tied to how well I do in school.
#' \item \code{14} I couldn't respect myself if I didn't live up to a moral code.
#' \item \code{15} I don't care what other people think of me.
#' \item \code{16} When my family members are proud of me, my sense of self-worth increases.
#' \item \code{17} My self-esteem is influenced by how attractive I think my face or facial features are.
#' \item \code{18} My self-esteem would suffer if I didn’t have God's love.
#' \item \code{19} Doing well in school gives me a sense of selfrespect.
#' \item \code{20} Doing better than others gives me a sense of self-respect.
#' \item \code{21} My sense of self-worth suffers whenever I think I don't look good.
#' \item \code{22} I feel better about myself when I know I'm doing well academically.
#' \item \code{23} What others think of me has no effect on what I think about myself.
#' \item \code{24} When I don’t feel loved by my family, my selfesteem goes down.
#' \item \code{25} My self-worth is affected by how well I do when I am competing with others.
#' \item \code{26} My self-esteem goes up when I feel that God loves me.
#' \item \code{27} My self-esteem is influenced by my academic performance.
#' \item \code{28} My self-esteem would suffer if I did something unethical.
#' \item \code{29} It is important to my self-respect that I have a family that cares about me.
#' \item \code{30} My self-esteem does not depend on whether or not I feel attractive.
#' \item \code{31} When I think that I’m disobeying God, I feel bad about myself.
#' \item \code{32} My self-worth is influenced by how well I do on competitive tasks.
#' \item \code{33} I feel bad about myself whenever my academic performance is lacking.
#' \item \code{34} My self-esteem depends on whether or not I follow my moral/ethical principles.
#' \item \code{35} My self-esteem depends on the opinions others hold of me.
#' \item \code{gender} "M" (male) or "F" (female)
#'
#' }
#'
#' @note There are seven domains
#'
#' FAMILY SUPPORT: items 7, 10, 16, 24, and 29.
#'
#' COMPETITION: items 3, 12, 20, 25, and 32.
#'
#' APPEARANCE: items 1, 4, 17, 21, and 30.
#'
#' GOD'S LOVE: items 2, 8, 18, 26, and 31.
#'
#' ACADEMIC COMPETENCE: items 13, 19, 22, 27, and 33.
#'
#' VIRTUE: items 5, 11, 14, 28, and 34.
#'
#' APPROVAL FROM OTHERS: items: 6, 9, 15, 23, and 35.
#' @docType data
#' @keywords datasets
#' @name csws
#' @usage data("csws")
#' @examples
#' data("csws")
#'
#'
#' @references
#' Briganti, G., Fried, E. I., & Linkowski, P. (2019). Network analysis of Contingencies of Self-Worth
#' Scale in 680 university students. Psychiatry research, 272, 252-257.
#' @format A data frame with 35 variables and 680 observations (7 point Likert scale)
NULL
#' Data: Toronto Alexithymia Scale (TAS)
#'
#' A dataset containing items from the Toronto Alexithymia Scale (TAS). There are 20 variables and
#' 1925 observations
#'
#' \itemize{
#' \item \code{1} I am often confused about what emotion I am feeling
#' \item \code{2} It is difficult for me to find the right words for my feelings
#' \item \code{3} I have physical sensations that even doctors don’t understand
#' \item \code{4} I am able to describe my feelings easily
#' \item \code{5} I prefer to analyze problems rather than just describe them
#' \item \code{6} When I am upset, I don’t know if I am sad, frightened, or angry
#' \item \code{7} I am often puzzled by sensations in my body
#' \item \code{8} I prefer just to let things happen rather than to understand why they turned out that way
#' \item \code{9} I have feelings that I can’t quite identify
#' \item \code{10} Being in touch with emotions is essential
#' \item \code{11} I find it hard to describe how I feel about people
#' \item \code{12} People tell me to describe my feelings more
#' \item \code{13} I don’t know what’s going on inside me
#' \item \code{14} I often don’t know why I am angry
#' \item \code{15} I prefer talking to people about their daily activities rather than their feelings
#' \item \code{16} I prefer to watch “light” entertainment shows rather than psychological dramas
#' \item \code{17} It is difficult for me to reveal my innermost feelings, even to close friends
#' \item \code{18} I can feel close to someone, even in moments of silence
#' \item \code{19} I find examination of my feelings useful in solving personal problems
#' \item \code{20} Looking for hidden meanings in movies or plays distracts from their enjoyment
#' \item \code{gender} "M" (male) or "F" (female)
#'
#' }
#'
#' @note There are three domains
#'
#' Difficulty identifying feelings: items 1, 3, 6, 7, 9, 13, 14
#'
#' Difficulty describing feelings: items 2, 4, 11, 12, 17
#'
#' Externally oriented thinking: items 10, 15, 16, 18, 19
#'
#' @docType data
#' @keywords datasets
#' @name tas
#' @usage data("tas")
#' @examples
#' data("tas")
#'
#' @references
#' Briganti, G., & Linkowski, P. (2019). Network approach to items and domains from
#' the Toronto Alexithymia Scale. Psychological reports.
#' @format A data frame with 20 variables and 1925 observations (5 point Likert scale)
NULL
#' Data: Interpersonal Reactivity Index (IRI)
#'
#' A dataset containing items from the Interpersonal Reactivity Index (IRI; an empathy measure). There are 28 variables and
#' 1973 observations
#'
#' \itemize{
#' \item \code{1} I daydream and fantasize, with some regularity, about things that might happen to me.
#' \item \code{2} I often have tender, concerned feelings for people less fortunate than me.
#' \item \code{3} I sometimes find it difficult to see things from the "other guy's" point of view.
#' \item \code{4} Sometimes I don't feel very sorry for other people when they are having problems.
#' \item \code{5} I really get involved with the feelings of the characters in a novel.
#' \item \code{6} In emergency situations, I feel apprehensive and ill-at-ease.
#' \item \code{7} I am usually objective when I watch a movie or play, and I don't often get completely caught up in it.
#' \item \code{8} I try to look at everybody's side of a disagreement before I make a decision.
#' \item \code{9} When I see someone being taken advantage of, I feel kind of protective towards them.
#' \item \code{10} I sometimes feel helpless when I am in the middle of a very emotional situation.
#' \item \code{11} I sometimes try to understand my friends better
#' by imagining how things look from their perspective
#' \item \code{12} Becoming extremely involved in a good book or movie is somewhat rare for me.
#' \item \code{13} When I see someone get hurt, I tend to remain calm.
#' \item \code{14} Other people's misfortunes do not usually disturb me a great deal.
#' \item \code{15} If I'm sure I'm right about something, I don't waste much
#' time listening to other people's arguments.
#' \item \code{16} After seeing a play or movie, I have felt as though I were one of the characters.
#' \item \code{17} Being in a tense emotional situation scares me.
#' \item \code{18} When I see someone being treated unfairly,
#' I sometimes don't feel very much pity for them.
#' \item \code{19} I am usually pretty effective in dealing with emergencies.
#' \item \code{20} I am often quite touched by things that I see happen.
#' \item \code{21} I believe that there are two sides to every question and try to look at them both.
#' \item \code{22} I would describe myself as a pretty soft-hearted person.
#' \item \code{23} When I watch a good movie, I can very easily put myself in
#' the place of a leading character
#' \item \code{24} I tend to lose control during emergencies.
#' \item \code{25} When I'm upset at someone, I usually try to "put myself in his shoes" for a while.
#' \item \code{26} When I am reading an interesting story or novel, I imagine how I would feel if the
#' events in the story were happening to me.
#' \item \code{27} When I see someone who badly needs help in an emergency, I go to pieces.
#' \item \code{28} Before criticizing somebody, I try to imagine how I would feel if I were in their place.
#' \item \code{gender} "M" (male) or "F" (female)
#'
#' }
#'
#' @note There are four domains
#'
#' Fantasy: items 1, 5, 7, 12, 16, 23, 26
#'
#' Perspective taking: items 3, 8, 11, 15, 21, 25, 28
#'
#' Empathic concern: items 2, 4, 9, 14, 18, 20, 22
#'
#' Personal distress: items 6, 10, 13, 17, 19, 24, 27,
#'
#' @docType data
#' @keywords datasets
#' @name iri
#' @usage data("iri")
#' @examples
#' data("iri")
#'
#' @references
#'Briganti, G., Kempenaers, C., Braun, S., Fried, E. I., & Linkowski, P. (2018). Network analysis of
#'empathy items from the interpersonal reactivity index in 1973
#'young adults. Psychiatry research, 265, 87-92.
#' @format A data frame with 28 variables and 1973 observations (5 point Likert scale)
NULL
#' Data: Resilience Scale of Adults (RSA)
#'
#' A dataset containing items from the Resilience Scale of Adults (RSA). There are 33 items and
#' 675 observations
#'
#' \itemize{
#' \item \code{1} My plans for the future are
#' \item \code{2} When something unforeseen happens
#' \item \code{3} My family understanding of what is important in life is
#' \item \code{4} I feel that my future looks
#' \item \code{5} My goals
#' \item \code{6} I can discuss personal issues with
#' \item \code{7} I feel
#' \item \code{8} I enjoy being
#' \item \code{9} Those who are good at encouraging are
#' \item \code{10} The bonds among my friends
#' \item \code{11} My personal problems
#' \item \code{12} When a family member experiences a crisis/emergency
#' \item \code{13} My family is characterised by
#' \item \code{14} To be flexible in social settings
#' \item \code{15} I get support from
#' \item \code{16} In difficult periods my family
#' \item \code{17} My judgements and decisions
#' \item \code{18} New friendships are something
#' \item \code{19} When needed, I have
#' \item \code{20} I am at my best when I
#' \item \code{21} Meeting new people is
#' \item \code{22} When I am with others
#' \item \code{23} When I start on new things/projects
#' \item \code{24} Facing other people, our family acts
#' \item \code{25} Belief in myself
#' \item \code{26} For me, thinking of good topics of conversation is
#' \item \code{27} My close friends/family members
#' \item \code{28} I am good at
#' \item \code{29} In my family, we like to
#' \item \code{30} Rules and regular routines
#' \item \code{31} In difficult periods I have a tendency to
#' \item \code{32} My goals for the future are
#' \item \code{33} Events in my life that I cannot influence
#' \item \code{gender} "M" (male) or "F" (female)
#'
#' }
#'
#' @note There are 6 domains
#'
#' Planned future: items 1, 4, 5, 32
#'
#' Perception of self: items 2, 11, 17, 25, 31, 33
#'
#' Family cohesion: items 3, 7, 13, 16, 24, 29
#'
#' Social resources: items 6, 9, 10, 12, 15, 19, 27
#'
#' Social Competence: items 8, 14, 18, 21, 22, 26,
#'
#' Structured style: items 23, 28, 30
#'
#' @docType data
#'
#' @keywords datasets
#' @name rsa
#'
#' @usage data("rsa")
#'
#' @examples
#' data("rsa")
#'
#' @references
#' Briganti, G., & Linkowski, P. (2019). Item and domain network structures of the Resilience
#' Scale for Adults in 675 university students. Epidemiology and psychiatric sciences, 1-9.
#' @format A data frame with 28 variables and 1973 observations (5 point Likert scale)
NULL
#' @title Data: Sachs Network
#'
#' @description Protein expression in human immune system cells
#'
#' @name Sachs
#'
#' @docType data
#'
#' @keywords datasets
#'
#' @usage data("Sachs")
#'
#' @examples
#' data("Sachs")
#'
#' @format A data frame containing 7466 cells (n = 7466) and flow cytometry
#' measurements of 11 (p = 11) phosphorylated proteins and phospholipids
#'
#' @references
#' Sachs, K., Gifford, D., Jaakkola, T., Sorger, P., & Lauffenburger, D. A. (2002).
#' Bayesian network approach to cell signaling pathway modeling. Sci. STKE, 2002(148), pe38-pe38.
NULL
#' Data: Autism and Obssesive Compulsive Disorder
#'
#' A correlation matrix with 17 variables in total (autsim: 9; OCD: 8).
#' The sample size was 213.
#'
#'
#' \strong{Autism}:
#'
#' \itemize{
#'
#' \item \code{CI} Circumscribed interests
#' \item \code{UP} Unusual preoccupations
#' \item \code{RO} Repetitive use of objects or interests in parts of objects
#' \item \code{CR} Compulsions and/or rituals
#' \item \code{CI} Unusual sensory interests
#' \item \code{SM} Complex mannerisms or stereotyped body movements
#' \item \code{SU} Stereotyped utterances/delayed echolalia
#' \item \code{NIL} Neologisms and/or idiosyncratic language
#' \item \code{VR} Verbal rituals
#' }
#'
#' \strong{OCD}
#'
#' \itemize{
#' \item \code{CD} Concern with things touched due to dirt/bacteria
#' \item \code{TB} Thoughts of doing something bad around others
#' \item \code{CT} Continual thoughts that do not go away
#' \item \code{HP} Belief that someone/higher power put reoccurring thoughts in their head
#' \item \code{CW} Continual washing
#' \item \code{CCh} Continual checking CntCheck
#' \item \code{CC} Continual counting/repeating
#' \item \code{RD} Repeatedly do things until it feels good or just right
#'
#' }
#'
#'
#' @docType data
#'
#' @keywords datasets
#' @name asd_ocd
#'
#' @usage data("asd_ocd")
#'
#' @examples
#' data("asd_ocd")
#'
#' # generate continuous
#' Y <- MASS::mvrnorm(n = 213,
#' mu = rep(0, 17),
#' Sigma = asd_ocd,
#' empirical = TRUE)
#'
#'
#' @format A correlation matrix including 17 variables. These data were measured on a 4 level likert scale.
#'
#' @references
#' Jones, P. J., Ma, R., & McNally, R. J. (2019). Bridge centrality:
#' A network approach
#' to understanding comorbidity. Multivariate behavioral research, 1-15.
#'
#' Ruzzano, L., Borsboom, D., & Geurts, H. M. (2015).
#' Repetitive behaviors in autism and obsessive-compulsive
#' disorder: New perspectives from a network analysis.
#' Journal of Autism and Developmental Disorders, 45(1),
#' 192-202. doi:10.1007/s10803-014-2204-9
NULL
#' Data: Depression and Anxiety (Time 1)
#'
#' A data frame containing 403 observations (n = 403) and 16 variables (p = 16) measured on the 4-point
#' likert scale (depression: 9; anxiety: 7).
#'
#' \strong{Depression}:
#'
#' \itemize{
#' \item \code{PHQ1} Little interest or pleasure in doing things?
#' \item \code{PHQ2} Feeling down, depressed, or hopeless?
#' \item \code{PHQ3} Trouble falling or staying asleep, or sleeping too much?
#' \item \code{PHQ4} Feeling tired or having little energy?
#' \item \code{PHQ5} Poor appetite or overeating?
#' \item \code{PHQ6} Feeling bad about yourself — or that you are a failure or have let
#' yourself or your family down?
#' \item \code{PHQ7} Trouble concentrating on things, such as reading the newspaper or
#' watching television?
#' \item \code{PHQ8} Moving or speaking so slowly that other people could have noticed? Or so
#' fidgety or restless that you have been moving a lot more than usual?
#' \item \code{PHQ9} Thoughts that you would be better off dead, or thoughts of hurting yourself
#' in some way?
#' }
#'
#' \strong{Anxiety}
#' \itemize{
#'
#'
#'
#' \item \code{GAD1} Feeling nervous, anxious, or on edge
#' \item \code{GAD2} Not being able to stop or control worrying
#' \item \code{GAD3} Worrying too much about different things
#' \item \code{GAD4} Trouble relaxing
#' \item \code{GAD5} Being so restless that it's hard to sit still
#' \item \code{GAD6} Becoming easily annoyed or irritable
#' \item \code{GAD7} Feeling afraid as if something awful might happen
#' }
#'
#'
#' @docType data
#'
#' @keywords datasets
#' @name depression_anxiety_t1
#'
#' @usage data("depression_anxiety_t1")
#'
#' @format A data frame containing 403 observations (n = 7466) and 16 variables (p = 16) measured on the 4-point
#' likert scale.
#'
#' @examples
#' data("depression_anxiety_t1")
#' labels<- c("interest", "down", "sleep",
#' "tired", "appetite", "selfest",
#' "concen", "psychmtr", "suicid",
#' "nervous", "unctrworry", "worrylot",
#' "relax", "restless", "irritable", "awful")
#'
#'
#' @references
#' Forbes, M. K., Baillie, A. J., & Schniering, C. A. (2016). A structural equation modeling
#' analysis of the relationships between depression,anxiety, and sexual problems over time.
#' The Journal of Sex Research, 53(8), 942-954.
#'
#' Forbes, M. K., Wright, A. G., Markon, K. E., & Krueger, R. F. (2019). Quantifying the reliability and replicability of psychopathology network characteristics.
#' Multivariate behavioral research, 1-19.
#'
#' Jones, P. J., Williams, D. R., & McNally, R. J. (2019). Sampling variability is not nonreplication:
#' a Bayesian reanalysis of Forbes, Wright, Markon, & Krueger.
NULL
#' Data: Depression and Anxiety (Time 2)
#'
#' A data frame containing 403 observations (n = 403) and 16 variables (p = 16) measured on the 4-point
#' likert scale (depression: 9; anxiety: 7).
#'
#' \strong{Depression}:
#'
#' \itemize{
#' \item \code{PHQ1} Little interest or pleasure in doing things?
#' \item \code{PHQ2} Feeling down, depressed, or hopeless?
#' \item \code{PHQ3} Trouble falling or staying asleep, or sleeping too much?
#' \item \code{PHQ4} Feeling tired or having little energy?
#' \item \code{PHQ5} Poor appetite or overeating?
#' \item \code{PHQ6} Feeling bad about yourself — or that you are a failure or have let
#' yourself or your family down?
#' \item \code{PHQ7} Trouble concentrating on things, such as reading the newspaper or
#' watching television?
#' \item \code{PHQ8} Moving or speaking so slowly that other people could have noticed? Or so
#' fidgety or restless that you have been moving a lot more than usual?
#' \item \code{PHQ9} Thoughts that you would be better off dead, or thoughts of hurting yourself
#' in some way?
#' }
#'
#' \strong{Anxiety}
#' \itemize{
#'
#'
#'
#' \item \code{GAD1} Feeling nervous, anxious, or on edge
#' \item \code{GAD2} Not being able to stop or control worrying
#' \item \code{GAD3} Worrying too much about different things
#' \item \code{GAD4} Trouble relaxing
#' \item \code{GAD5} Being so restless that it's hard to sit still
#' \item \code{GAD6} Becoming easily annoyed or irritable
#' \item \code{GAD7} Feeling afraid as if something awful might happen
#' }
#'
#'
#' @docType data
#'
#' @keywords datasets
#' @name depression_anxiety_t2
#'
#' @usage data("depression_anxiety_t2")
#'
#' @format A data frame containing 403 observations (n = 7466) and 16 variables (p = 16) measured on the 4-point
#' likert scale.
#'
#' @examples
#' data("depression_anxiety_t2")
#' labels<- c("interest", "down", "sleep",
#' "tired", "appetite", "selfest",
#' "concen", "psychmtr", "suicid",
#' "nervous", "unctrworry", "worrylot",
#' "relax", "restless", "irritable", "awful")
#'
#'
#' @references
#' Forbes, M. K., Baillie, A. J., & Schniering, C. A. (2016). A structural equation modeling
#' analysis of the relationships between depression,anxiety, and sexual problems over time.
#' The Journal of Sex Research, 53(8), 942-954.
#'
#' Forbes, M. K., Wright, A. G., Markon, K. E., & Krueger, R. F. (2019). Quantifying the reliability and replicability of psychopathology network characteristics.
#' Multivariate behavioral research, 1-19.
#'
#' Jones, P. J., Williams, D. R., & McNally, R. J. (2019). Sampling variability is not nonreplication:
#' a Bayesian reanalysis of Forbes, Wright, Markon, & Krueger.
NULL
#' Data: Women and Mathematics
#'
#' A data frame containing 1190 observations (n = 1190) and 6 variables (p = 6) measured on the binary scale.
#'
#'\itemize{
#' \item \code{1} Lecture attendance (attend/did not attend)
#' \item \code{2} Gender (male/female)
#' \item \code{3} School type (urban/suburban)
#' \item \code{4} “I will be needing Mathematics in my future work” (agree/disagree)
#' \item \code{5} Subject preference (math/science vs. liberal arts)
#' \item \code{6} Future plans (college/job)
#'}
#'
#' @references
#' \insertAllCited{}
#'
#' @docType data
#'
#' @keywords datasets
#' @name women_math
#'
#' @usage data("women_math")
#'
#' @format A data frame containing 1190 observations (n = 1190) and 6 variables (p = 6) measured on the binary scale
#' \insertCite{fowlkes1988evaluating}{BGGM}. These data have been analyzed in \insertCite{tarantola2004mcmc;textual}{BGGM}
#' and in \insertCite{madigan1994model}{BGGM}. The variable descriptions were copied from (section 5.2 )
#' \insertCite{@section 5.2, @talhouk2012efficient}{BGGM}
#'
#' @examples
#' data("women_math")
NULL
#' @title Data: 1994 General Social Survey
#'
#' @description A data frame containing 1002 rows and 7 variables measured on various scales,
#' including binary and ordered cateogrical (with varying numbers of categories).
#' There are also missing values in each variable
#'
#'\itemize{
#' \item \code{Inc} Income of the respondent in 1000s of dollars, binned into 21 ordered categories.
#' \item \code{DEG} Highest degree ever obtained (none, HS, Associates, Bachelors, or Graduate)
#' \item \code{CHILD} Number of children ever had.
#' \item \code{PINC} Financial status of respondent's parents when respondent was 16 (on a 5-point scale).
#' \item \code{PDEG} Maximum of mother's and father's highest degree
#' \item \code{PCHILD} Number of siblings of the respondent plus one
#' \item \code{AGE} Age of the respondent in years.
#'}
#'
#' @references
#' \insertAllCited{}
#'
#' @docType data
#'
#' @keywords datasets
#' @name gss
#'
#' @usage data("gss")
#'
#' @format A data frame containing 1190 observations (n = 1190) and 6 variables (p = 6) measured on the binary scale
#' \insertCite{fowlkes1988evaluating}{BGGM}. The variable descriptions were copied from
#' \insertCite{@section 4, @hoff2007extending;textual}{BGGM}
#'
#' @examples
#' data("gss")
NULL
#' @title Data: ifit Intensive Longitudinal Data
#'
#' @description A data frame containing 8 variables and nearly 200 observations. There are
#' two subjects, each of which provided data every data for over 90 days. Six variables are from
#' the PANAS scale (positive and negative affect), the daily number of steps, and the subject id.
#'
#'\itemize{
#' \item \code{id} Subject id
#' \item \code{interested}
#' \item \code{disinterested}
#' \item \code{excited}
#' \item \code{upset}
#' \item \code{strong}
#' \item \code{stressed}
#' \item \code{steps} steps recorded by a fit bit
#'}
#'
#' @references
#' \insertAllCited{}
#'
#' @docType data
#'
#' @keywords datasets
#' @name ifit
#'
#' @usage data("ifit")
#'
#' @format A data frame containing 197 observations and 8 variables. The data have been used in
#' \insertCite{o2020use}{BGGM} and \insertCite{williams2019bayesian}{BGGM}
#'
#' @examples
#' data("ifit")
NULL
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#' Data: Post-Traumatic Stress Disorder
#'
#' A dataset containing items that measure Post-traumatic stress disorder symptoms \insertCite{armour2017network}{BGGM}.
#' There are 20 variables (\emph{p}) and 221 observations (\emph{n}).
#'
#' \itemize{
#' \item Intrusive Thoughts
#' \item Nightmares
#' \item Flashbacks
#' \item Emotional cue reactivity
#' \item Psychological cue reactivity
#' \item Avoidance of thoughts
#' \item Avoidance of reminders
#' \item Trauma-related amnesia
#' \item Negative beliefs
#' \item Negative trauma-related emotions
#' \item Loss of interest
#' \item Detachment
#' \item Restricted affect
#' \item Irritability/anger
#' \item Self-destructive/reckless behavior
#' \item Hypervigilance
#' \item Exaggerated startle response
#' \item Difficulty concentrating
#' \item Sleep disturbance
#' }
#'
#' @docType data
#'
#' @keywords datasets
#'
#' @name ptsd
#'
#' @usage data("ptsd")
#'
#' @references
#'
#' \insertAllCited{}
#'
#' @format A dataframe with 221 rows and 20 variables
NULL
#' Data: Post-Traumatic Stress Disorder (Sample # 1)
#'
#' A correlation matrix that includes 16 variables. The correlation matrix was estimated from 526
#' individuals \insertCite{fried2018replicability}{BGGM}.
#'
#' \itemize{
#' \item Intrusive Thoughts
#' \item Nightmares
#' \item Flashbacks
#' \item Physiological/psychological reactivity
#' \item Avoidance of thoughts
#' \item Avoidance of situations
#' \item Amnesia
#' \item Disinterest in activities
#' \item Feeling detached
#' \item Emotional numbing
#' \item Foreshortened future
#' \item Sleep problems
#' \item Irritability
#' \item Concentration problems
#' \item Hypervigilance
#' \item Startle response
#' }
#'
#' @docType data
#'
#' @keywords datasets
#'
#' @name ptsd_cor1
#'
#' @examples
#'
#' data(ptsd_cor1)
#'
#' Y <- MASS::mvrnorm(n = 526,
#' mu = rep(0, 16),
#' Sigma = ptsd_cor1,
#' empirical = TRUE)
#'
#' @references
#'
#' \insertAllCited{}
#'
#' @format A correlation matrix with 16 variables
NULL
#' Data: Post-Traumatic Stress Disorder (Sample # 2)
#'
#' A correlation matrix that includes 16 variables. The correlation matrix
#' was estimated from 365 individuals \insertCite{fried2018replicability}{BGGM}.
#'
#' \itemize{
#' \item Intrusive Thoughts
#' \item Nightmares
#' \item Flashbacks
#' \item Physiological/psychological reactivity
#' \item Avoidance of thoughts
#' \item Avoidance of situations
#' \item Amnesia
#' \item Disinterest in activities
#' \item Feeling detached
#' \item Emotional numbing
#' \item Foreshortened future
#' \item Sleep problems
#' \item Irritability
#' \item Concentration problems
#' \item Hypervigilance
#' \item Startle response
#' }
#'
#' @docType data
#'
#' @keywords datasets
#'
#' @name ptsd_cor2
#'
#' @examples
#' data(ptsd_cor2)
#' Y <- MASS::mvrnorm(n = 365,
#' mu = rep(0, 16),
#' Sigma = ptsd_cor2,
#' empirical = TRUE)
#' @references
#'
#' \insertAllCited{}
#'
#' @format A correlation matrix with 16 variables
NULL
#' Data: Post-Traumatic Stress Disorder (Sample # 3)
#'
#' A correlation matrix that includes 16 variables. The correlation matrix
#' was estimated from 926 individuals \insertCite{fried2018replicability}{BGGM}.
#'
#' \itemize{
#'
#' \item Intrusive Thoughts
#' \item Nightmares
#' \item Flashbacks
#' \item Physiological/psychological reactivity
#' \item Avoidance of thoughts
#' \item Avoidance of situations
#' \item Amnesia
#' \item Disinterest in activities
#' \item Feeling detached
#' \item Emotional numbing
#' \item Foreshortened future
#' \item Sleep problems
#' \item Irritability
#' \item Concentration problems
#' \item Hypervigilance
#' \item Startle response
#' }
#'
#' @docType data
#'
#' @keywords datasets
#'
#' @name ptsd_cor3
#'
#' @examples
#' data(ptsd_cor3)
#' Y <- MASS::mvrnorm(n = 926,
#' mu = rep(0, 16),
#' Sigma = ptsd_cor3,
#' empirical = TRUE)
#'
#' @references
#'
#' \insertAllCited{}
#'
#' @format A correlation matrix with 16 variables
#'
NULL
#' Data: Post-Traumatic Stress Disorder (Sample # 4)
#'
#' A correlation matrix that includes 16 variables. The correlation matrix
#' was estimated from 965 individuals \insertCite{fried2018replicability}{BGGM}.
#'
#' \itemize{
#' \item Intrusive Thoughts
#' \item Nightmares
#' \item Flashbacks
#' \item Physiological/psychological reactivity
#' \item Avoidance of thoughts
#' \item Avoidance of situations
#' \item Amnesia
#' \item Disinterest in activities
#' \item Feeling detached
#' \item Emotional numbing
#' \item Foreshortened future
#' \item Sleep problems
#' \item Irritability
#' \item Concentration problems
#' \item Hypervigilance
#' \item Startle response
#' }
#'
#' @docType data
#'
#' @keywords datasets
#'
#' @name ptsd_cor4
#'
#' @examples
#' data(ptsd_cor4)
#' Y <- MASS::mvrnorm(n = 965,
#' mu = rep(0, 16),
#' Sigma = ptsd_cor4,
#' empirical = TRUE)
#'
#' @references
#'
#' \insertAllCited{}
#'
#' @format A correlation matrix with 16 variables
NULL
#' Data: 25 Personality items representing 5 factors
#'
#' This dataset and the corresponding documentation was taken from the \strong{psych} package. We refer users to that
#' package for further details \insertCite{psych}{BGGM}.
#'
#' \itemize{
#' \item \code{A1} Am indifferent to the feelings of others. (q_146)
#' \item \code{A2} Inquire about others' well-being. (q_1162)
#' \item \code{A3} Know how to comfort others. (q_1206)
#' \item \code{A4} Love children. (q_1364)
#' \item \code{A5} Make people feel at ease. (q_1419)
#' \item \code{C1} Am exacting in my work. (q_124)
#' \item \code{C2} Continue until everything is perfect. (q_530)
#' \item \code{C3} Do things according to a plan. (q_619)
#' \item \code{C4} Do things in a half-way manner. (q_626)
#' \item \code{C5} Waste my time. (q_1949)
#' \item \code{E1} Don't talk a lot. (q_712)
#' \item \code{E2} Find it difficult to approach others. (q_901)
#' \item \code{E3} Know how to captivate people. (q_1205)
#' \item \code{E4} Make friends easily. (q_1410)
#' \item \code{E5} Take charge. (q_1768)
#' \item \code{N1} Get angry easily. (q_952)
#' \item \code{N2} Get irritated easily. (q_974)
#' \item \code{N3} Have frequent mood swings. (q_1099)
#' \item \code{N4} Often feel blue. (q_1479)
#' \item \code{N5} Panic easily. (q_1505)
#' \item \code{o1} Am full of ideas. (q_128)
#' \item \code{o2} Avoid difficult reading material.(q_316)
#' \item \code{o3} Carry the conversation to a higher level. (q_492)
#' \item \code{o4} Spend time reflecting on things. (q_1738)
#' \item \code{o5} Will not probe deeply into a subject. (q_1964)
#' \item \code{gender} Males = 1, Females =2
#' \item \code{education} 1 = HS, 2 = finished HS, 3 = some college, 4 = college graduate 5 = graduate degree
#' }
#'
#' @docType data
#'
#' @keywords datasets
#'
#' @name bfi
#'
#' @usage data("bfi")
#'
#' @references
#'
#' \insertAllCited{}
#'
#' @format A data frame with 25 variables and 2800 observations (including missing values)
NULL
#' Data: Contingencies of Self-Worth Scale (CSWS)
#'
#' A dataset containing items from the Contingencies of Self-Worth Scale (CSWS) scale. There are 35 variables and
#' 680 observations
#'
#' \itemize{
#' \item \code{1} When I think I look attractive, I feel good about myself
#' \item \code{2} My self-worth is based on God's love
#' \item \code{3} I feel worthwhile when I perform better than others on a task or skill.
#' \item \code{4} My self-esteem is unrelated to how I feel about the way my body looks.
#' \item \code{5} Doing something I know is wrong makes me lose my self-respect
#' \item \code{6} I don't care if other people have a negative opinion about me.
#' \item \code{7} Knowing that my family members love me makes me feel good about myself.
#' \item \code{8} I feel worthwhile when I have God's love.
#' \item \code{9} I can’t respect myself if others don't respect me.
#' \item \code{10} My self-worth is not influenced by the quality of my relationships with my family members.
#' \item \code{11} Whenever I follow my moral principles, my sense of self-respect gets a boost.
#' \item \code{12} Knowing that I am better than others on a task raises my self-esteem.
#' \item \code{13} My opinion about myself isn't tied to how well I do in school.
#' \item \code{14} I couldn't respect myself if I didn't live up to a moral code.
#' \item \code{15} I don't care what other people think of me.
#' \item \code{16} When my family members are proud of me, my sense of self-worth increases.
#' \item \code{17} My self-esteem is influenced by how attractive I think my face or facial features are.
#' \item \code{18} My self-esteem would suffer if I didn’t have God's love.
#' \item \code{19} Doing well in school gives me a sense of selfrespect.
#' \item \code{20} Doing better than others gives me a sense of self-respect.
#' \item \code{21} My sense of self-worth suffers whenever I think I don't look good.
#' \item \code{22} I feel better about myself when I know I'm doing well academically.
#' \item \code{23} What others think of me has no effect on what I think about myself.
#' \item \code{24} When I don’t feel loved by my family, my selfesteem goes down.
#' \item \code{25} My self-worth is affected by how well I do when I am competing with others.
#' \item \code{26} My self-esteem goes up when I feel that God loves me.
#' \item \code{27} My self-esteem is influenced by my academic performance.
#' \item \code{28} My self-esteem would suffer if I did something unethical.
#' \item \code{29} It is important to my self-respect that I have a family that cares about me.
#' \item \code{30} My self-esteem does not depend on whether or not I feel attractive.
#' \item \code{31} When I think that I’m disobeying God, I feel bad about myself.
#' \item \code{32} My self-worth is influenced by how well I do on competitive tasks.
#' \item \code{33} I feel bad about myself whenever my academic performance is lacking.
#' \item \code{34} My self-esteem depends on whether or not I follow my moral/ethical principles.
#' \item \code{35} My self-esteem depends on the opinions others hold of me.
#' \item \code{gender} "M" (male) or "F" (female)
#'
#' }
#'
#' @note There are seven domains
#'
#' FAMILY SUPPORT: items 7, 10, 16, 24, and 29.
#'
#' COMPETITION: items 3, 12, 20, 25, and 32.
#'
#' APPEARANCE: items 1, 4, 17, 21, and 30.
#'
#' GOD'S LOVE: items 2, 8, 18, 26, and 31.
#'
#' ACADEMIC COMPETENCE: items 13, 19, 22, 27, and 33.
#'
#' VIRTUE: items 5, 11, 14, 28, and 34.
#'
#' APPROVAL FROM OTHERS: items: 6, 9, 15, 23, and 35.
#' @docType data
#' @keywords datasets
#' @name csws
#' @usage data("csws")
#' @examples
#' data("csws")
#'
#'
#' @references
#' Briganti, G., Fried, E. I., & Linkowski, P. (2019). Network analysis of Contingencies of Self-Worth
#' Scale in 680 university students. Psychiatry research, 272, 252-257.
#' @format A data frame with 35 variables and 680 observations (7 point Likert scale)
NULL
#' Data: Toronto Alexithymia Scale (TAS)
#'
#' A dataset containing items from the Toronto Alexithymia Scale (TAS). There are 20 variables and
#' 1925 observations
#'
#' \itemize{
#' \item \code{1} I am often confused about what emotion I am feeling
#' \item \code{2} It is difficult for me to find the right words for my feelings
#' \item \code{3} I have physical sensations that even doctors don’t understand
#' \item \code{4} I am able to describe my feelings easily
#' \item \code{5} I prefer to analyze problems rather than just describe them
#' \item \code{6} When I am upset, I don’t know if I am sad, frightened, or angry
#' \item \code{7} I am often puzzled by sensations in my body
#' \item \code{8} I prefer just to let things happen rather than to understand why they turned out that way
#' \item \code{9} I have feelings that I can’t quite identify
#' \item \code{10} Being in touch with emotions is essential
#' \item \code{11} I find it hard to describe how I feel about people
#' \item \code{12} People tell me to describe my feelings more
#' \item \code{13} I don’t know what’s going on inside me
#' \item \code{14} I often don’t know why I am angry
#' \item \code{15} I prefer talking to people about their daily activities rather than their feelings
#' \item \code{16} I prefer to watch “light” entertainment shows rather than psychological dramas
#' \item \code{17} It is difficult for me to reveal my innermost feelings, even to close friends
#' \item \code{18} I can feel close to someone, even in moments of silence
#' \item \code{19} I find examination of my feelings useful in solving personal problems
#' \item \code{20} Looking for hidden meanings in movies or plays distracts from their enjoyment
#' \item \code{gender} "M" (male) or "F" (female)
#'
#' }
#'
#' @note There are three domains
#'
#' Difficulty identifying feelings: items 1, 3, 6, 7, 9, 13, 14
#'
#' Difficulty describing feelings: items 2, 4, 11, 12, 17
#'
#' Externally oriented thinking: items 10, 15, 16, 18, 19
#'
#' @docType data
#' @keywords datasets
#' @name tas
#' @usage data("tas")
#' @examples
#' data("tas")
#'
#' @references
#' Briganti, G., & Linkowski, P. (2019). Network approach to items and domains from
#' the Toronto Alexithymia Scale. Psychological reports.
#' @format A data frame with 20 variables and 1925 observations (5 point Likert scale)
NULL
#' Data: Interpersonal Reactivity Index (IRI)
#'
#' A dataset containing items from the Interpersonal Reactivity Index (IRI; an empathy measure). There are 28 variables and
#' 1973 observations
#'
#' \itemize{
#' \item \code{1} I daydream and fantasize, with some regularity, about things that might happen to me.
#' \item \code{2} I often have tender, concerned feelings for people less fortunate than me.
#' \item \code{3} I sometimes find it difficult to see things from the "other guy's" point of view.
#' \item \code{4} Sometimes I don't feel very sorry for other people when they are having problems.
#' \item \code{5} I really get involved with the feelings of the characters in a novel.
#' \item \code{6} In emergency situations, I feel apprehensive and ill-at-ease.
#' \item \code{7} I am usually objective when I watch a movie or play, and I don't often get completely caught up in it.
#' \item \code{8} I try to look at everybody's side of a disagreement before I make a decision.
#' \item \code{9} When I see someone being taken advantage of, I feel kind of protective towards them.
#' \item \code{10} I sometimes feel helpless when I am in the middle of a very emotional situation.
#' \item \code{11} I sometimes try to understand my friends better
#' by imagining how things look from their perspective
#' \item \code{12} Becoming extremely involved in a good book or movie is somewhat rare for me.
#' \item \code{13} When I see someone get hurt, I tend to remain calm.
#' \item \code{14} Other people's misfortunes do not usually disturb me a great deal.
#' \item \code{15} If I'm sure I'm right about something, I don't waste much
#' time listening to other people's arguments.
#' \item \code{16} After seeing a play or movie, I have felt as though I were one of the characters.
#' \item \code{17} Being in a tense emotional situation scares me.
#' \item \code{18} When I see someone being treated unfairly,
#' I sometimes don't feel very much pity for them.
#' \item \code{19} I am usually pretty effective in dealing with emergencies.
#' \item \code{20} I am often quite touched by things that I see happen.
#' \item \code{21} I believe that there are two sides to every question and try to look at them both.
#' \item \code{22} I would describe myself as a pretty soft-hearted person.
#' \item \code{23} When I watch a good movie, I can very easily put myself in
#' the place of a leading character
#' \item \code{24} I tend to lose control during emergencies.
#' \item \code{25} When I'm upset at someone, I usually try to "put myself in his shoes" for a while.
#' \item \code{26} When I am reading an interesting story or novel, I imagine how I would feel if the
#' events in the story were happening to me.
#' \item \code{27} When I see someone who badly needs help in an emergency, I go to pieces.
#' \item \code{28} Before criticizing somebody, I try to imagine how I would feel if I were in their place.
#' \item \code{gender} "M" (male) or "F" (female)
#'
#' }
#'
#' @note There are four domains
#'
#' Fantasy: items 1, 5, 7, 12, 16, 23, 26
#'
#' Perspective taking: items 3, 8, 11, 15, 21, 25, 28
#'
#' Empathic concern: items 2, 4, 9, 14, 18, 20, 22
#'
#' Personal distress: items 6, 10, 13, 17, 19, 24, 27,
#'
#' @docType data
#' @keywords datasets
#' @name iri
#' @usage data("iri")
#' @examples
#' data("iri")
#'
#' @references
#'Briganti, G., Kempenaers, C., Braun, S., Fried, E. I., & Linkowski, P. (2018). Network analysis of
#'empathy items from the interpersonal reactivity index in 1973
#'young adults. Psychiatry research, 265, 87-92.
#' @format A data frame with 28 variables and 1973 observations (5 point Likert scale)
NULL
#' Data: Resilience Scale of Adults (RSA)
#'
#' A dataset containing items from the Resilience Scale of Adults (RSA). There are 33 items and
#' 675 observations
#'
#' \itemize{
#' \item \code{1} My plans for the future are
#' \item \code{2} When something unforeseen happens
#' \item \code{3} My family understanding of what is important in life is
#' \item \code{4} I feel that my future looks
#' \item \code{5} My goals
#' \item \code{6} I can discuss personal issues with
#' \item \code{7} I feel
#' \item \code{8} I enjoy being
#' \item \code{9} Those who are good at encouraging are
#' \item \code{10} The bonds among my friends
#' \item \code{11} My personal problems
#' \item \code{12} When a family member experiences a crisis/emergency
#' \item \code{13} My family is characterised by
#' \item \code{14} To be flexible in social settings
#' \item \code{15} I get support from
#' \item \code{16} In difficult periods my family
#' \item \code{17} My judgements and decisions
#' \item \code{18} New friendships are something
#' \item \code{19} When needed, I have
#' \item \code{20} I am at my best when I
#' \item \code{21} Meeting new people is
#' \item \code{22} When I am with others
#' \item \code{23} When I start on new things/projects
#' \item \code{24} Facing other people, our family acts
#' \item \code{25} Belief in myself
#' \item \code{26} For me, thinking of good topics of conversation is
#' \item \code{27} My close friends/family members
#' \item \code{28} I am good at
#' \item \code{29} In my family, we like to
#' \item \code{30} Rules and regular routines
#' \item \code{31} In difficult periods I have a tendency to
#' \item \code{32} My goals for the future are
#' \item \code{33} Events in my life that I cannot influence
#' \item \code{gender} "M" (male) or "F" (female)
#'
#' }
#'
#' @note There are 6 domains
#'
#' Planned future: items 1, 4, 5, 32
#'
#' Perception of self: items 2, 11, 17, 25, 31, 33
#'
#' Family cohesion: items 3, 7, 13, 16, 24, 29
#'
#' Social resources: items 6, 9, 10, 12, 15, 19, 27
#'
#' Social Competence: items 8, 14, 18, 21, 22, 26,
#'
#' Structured style: items 23, 28, 30
#'
#' @docType data
#'
#' @keywords datasets
#' @name rsa
#'
#' @usage data("rsa")
#'
#' @examples
#' data("rsa")
#'
#' @references
#' Briganti, G., & Linkowski, P. (2019). Item and domain network structures of the Resilience
#' Scale for Adults in 675 university students. Epidemiology and psychiatric sciences, 1-9.
#' @format A data frame with 28 variables and 1973 observations (5 point Likert scale)
NULL
#' @title Data: Sachs Network
#'
#' @description Protein expression in human immune system cells
#'
#' @name Sachs
#'
#' @docType data
#'
#' @keywords datasets
#'
#' @usage data("Sachs")
#'
#' @examples
#' data("Sachs")
#'
#' @format A data frame containing 7466 cells (n = 7466) and flow cytometry
#' measurements of 11 (p = 11) phosphorylated proteins and phospholipids
#'
#' @references
#' Sachs, K., Gifford, D., Jaakkola, T., Sorger, P., & Lauffenburger, D. A. (2002).
#' Bayesian network approach to cell signaling pathway modeling. Sci. STKE, 2002(148), pe38-pe38.
NULL
#' Data: Autism and Obssesive Compulsive Disorder
#'
#' A correlation matrix with 17 variables in total (autsim: 9; OCD: 8).
#' The sample size was 213.
#'
#'
#' \strong{Autism}:
#'
#' \itemize{
#'
#' \item \code{CI} Circumscribed interests
#' \item \code{UP} Unusual preoccupations
#' \item \code{RO} Repetitive use of objects or interests in parts of objects
#' \item \code{CR} Compulsions and/or rituals
#' \item \code{CI} Unusual sensory interests
#' \item \code{SM} Complex mannerisms or stereotyped body movements
#' \item \code{SU} Stereotyped utterances/delayed echolalia
#' \item \code{NIL} Neologisms and/or idiosyncratic language
#' \item \code{VR} Verbal rituals
#' }
#'
#' \strong{OCD}
#'
#' \itemize{
#' \item \code{CD} Concern with things touched due to dirt/bacteria
#' \item \code{TB} Thoughts of doing something bad around others
#' \item \code{CT} Continual thoughts that do not go away
#' \item \code{HP} Belief that someone/higher power put reoccurring thoughts in their head
#' \item \code{CW} Continual washing
#' \item \code{CCh} Continual checking CntCheck
#' \item \code{CC} Continual counting/repeating
#' \item \code{RD} Repeatedly do things until it feels good or just right
#'
#' }
#'
#'
#' @docType data
#'
#' @keywords datasets
#' @name asd_ocd
#'
#' @usage data("asd_ocd")
#'
#' @examples
#' data("asd_ocd")
#'
#' # generate continuous
#' Y <- MASS::mvrnorm(n = 213,
#' mu = rep(0, 17),
#' Sigma = asd_ocd,
#' empirical = TRUE)
#'
#'
#' @format A correlation matrix including 17 variables. These data were measured on a 4 level likert scale.
#'
#' @references
#' Jones, P. J., Ma, R., & McNally, R. J. (2019). Bridge centrality:
#' A network approach
#' to understanding comorbidity. Multivariate behavioral research, 1-15.
#'
#' Ruzzano, L., Borsboom, D., & Geurts, H. M. (2015).
#' Repetitive behaviors in autism and obsessive-compulsive
#' disorder: New perspectives from a network analysis.
#' Journal of Autism and Developmental Disorders, 45(1),
#' 192-202. doi:10.1007/s10803-014-2204-9
NULL
#' Data: Depression and Anxiety (Time 1)
#'
#' A data frame containing 403 observations (n = 403) and 16 variables (p = 16) measured on the 4-point
#' likert scale (depression: 9; anxiety: 7).
#'
#' \strong{Depression}:
#'
#' \itemize{
#' \item \code{PHQ1} Little interest or pleasure in doing things?
#' \item \code{PHQ2} Feeling down, depressed, or hopeless?
#' \item \code{PHQ3} Trouble falling or staying asleep, or sleeping too much?
#' \item \code{PHQ4} Feeling tired or having little energy?
#' \item \code{PHQ5} Poor appetite or overeating?
#' \item \code{PHQ6} Feeling bad about yourself — or that you are a failure or have let
#' yourself or your family down?
#' \item \code{PHQ7} Trouble concentrating on things, such as reading the newspaper or
#' watching television?
#' \item \code{PHQ8} Moving or speaking so slowly that other people could have noticed? Or so
#' fidgety or restless that you have been moving a lot more than usual?
#' \item \code{PHQ9} Thoughts that you would be better off dead, or thoughts of hurting yourself
#' in some way?
#' }
#'
#' \strong{Anxiety}
#' \itemize{
#'
#'
#'
#' \item \code{GAD1} Feeling nervous, anxious, or on edge
#' \item \code{GAD2} Not being able to stop or control worrying
#' \item \code{GAD3} Worrying too much about different things
#' \item \code{GAD4} Trouble relaxing
#' \item \code{GAD5} Being so restless that it's hard to sit still
#' \item \code{GAD6} Becoming easily annoyed or irritable
#' \item \code{GAD7} Feeling afraid as if something awful might happen
#' }
#'
#'
#' @docType data
#'
#' @keywords datasets
#' @name depression_anxiety_t1
#'
#' @usage data("depression_anxiety_t1")
#'
#' @format A data frame containing 403 observations (n = 7466) and 16 variables (p = 16) measured on the 4-point
#' likert scale.
#'
#' @examples
#' data("depression_anxiety_t1")
#' labels<- c("interest", "down", "sleep",
#' "tired", "appetite", "selfest",
#' "concen", "psychmtr", "suicid",
#' "nervous", "unctrworry", "worrylot",
#' "relax", "restless", "irritable", "awful")
#'
#'
#' @references
#' Forbes, M. K., Baillie, A. J., & Schniering, C. A. (2016). A structural equation modeling
#' analysis of the relationships between depression,anxiety, and sexual problems over time.
#' The Journal of Sex Research, 53(8), 942-954.
#'
#' Forbes, M. K., Wright, A. G., Markon, K. E., & Krueger, R. F. (2019). Quantifying the reliability and replicability of psychopathology network characteristics.
#' Multivariate behavioral research, 1-19.
#'
#' Jones, P. J., Williams, D. R., & McNally, R. J. (2019). Sampling variability is not nonreplication:
#' a Bayesian reanalysis of Forbes, Wright, Markon, & Krueger.
NULL
#' Data: Depression and Anxiety (Time 2)
#'
#' A data frame containing 403 observations (n = 403) and 16 variables (p = 16) measured on the 4-point
#' likert scale (depression: 9; anxiety: 7).
#'
#' \strong{Depression}:
#'
#' \itemize{
#' \item \code{PHQ1} Little interest or pleasure in doing things?
#' \item \code{PHQ2} Feeling down, depressed, or hopeless?
#' \item \code{PHQ3} Trouble falling or staying asleep, or sleeping too much?
#' \item \code{PHQ4} Feeling tired or having little energy?
#' \item \code{PHQ5} Poor appetite or overeating?
#' \item \code{PHQ6} Feeling bad about yourself — or that you are a failure or have let
#' yourself or your family down?
#' \item \code{PHQ7} Trouble concentrating on things, such as reading the newspaper or
#' watching television?
#' \item \code{PHQ8} Moving or speaking so slowly that other people could have noticed? Or so
#' fidgety or restless that you have been moving a lot more than usual?
#' \item \code{PHQ9} Thoughts that you would be better off dead, or thoughts of hurting yourself
#' in some way?
#' }
#'
#' \strong{Anxiety}
#' \itemize{
#'
#'
#'
#' \item \code{GAD1} Feeling nervous, anxious, or on edge
#' \item \code{GAD2} Not being able to stop or control worrying
#' \item \code{GAD3} Worrying too much about different things
#' \item \code{GAD4} Trouble relaxing
#' \item \code{GAD5} Being so restless that it's hard to sit still
#' \item \code{GAD6} Becoming easily annoyed or irritable
#' \item \code{GAD7} Feeling afraid as if something awful might happen
#' }
#'
#'
#' @docType data
#'
#' @keywords datasets
#' @name depression_anxiety_t2
#'
#' @usage data("depression_anxiety_t2")
#'
#' @format A data frame containing 403 observations (n = 7466) and 16 variables (p = 16) measured on the 4-point
#' likert scale.
#'
#' @examples
#' data("depression_anxiety_t2")
#' labels<- c("interest", "down", "sleep",
#' "tired", "appetite", "selfest",
#' "concen", "psychmtr", "suicid",
#' "nervous", "unctrworry", "worrylot",
#' "relax", "restless", "irritable", "awful")
#'
#'
#' @references
#' Forbes, M. K., Baillie, A. J., & Schniering, C. A. (2016). A structural equation modeling
#' analysis of the relationships between depression,anxiety, and sexual problems over time.
#' The Journal of Sex Research, 53(8), 942-954.
#'
#' Forbes, M. K., Wright, A. G., Markon, K. E., & Krueger, R. F. (2019). Quantifying the reliability and replicability of psychopathology network characteristics.
#' Multivariate behavioral research, 1-19.
#'
#' Jones, P. J., Williams, D. R., & McNally, R. J. (2019). Sampling variability is not nonreplication:
#' a Bayesian reanalysis of Forbes, Wright, Markon, & Krueger.
NULL
#' Data: Women and Mathematics
#'
#' A data frame containing 1190 observations (n = 1190) and 6 variables (p = 6) measured on the binary scale.
#'
#'\itemize{
#' \item \code{1} Lecture attendance (attend/did not attend)
#' \item \code{2} Gender (male/female)
#' \item \code{3} School type (urban/suburban)
#' \item \code{4} “I will be needing Mathematics in my future work” (agree/disagree)
#' \item \code{5} Subject preference (math/science vs. liberal arts)
#' \item \code{6} Future plans (college/job)
#'}
#'
#' @references
#' \insertAllCited{}
#'
#' @docType data
#'
#' @keywords datasets
#' @name women_math
#'
#' @usage data("women_math")
#'
#' @format A data frame containing 1190 observations (n = 1190) and 6 variables (p = 6) measured on the binary scale
#' \insertCite{fowlkes1988evaluating}{BGGM}. These data have been analyzed in \insertCite{tarantola2004mcmc;textual}{BGGM}
#' and in \insertCite{madigan1994model}{BGGM}. The variable descriptions were copied from (section 5.2 )
#' \insertCite{@section 5.2, @talhouk2012efficient}{BGGM}
#'
#' @examples
#' data("women_math")
NULL
#' @title Data: 1994 General Social Survey
#'
#' @description A data frame containing 1002 rows and 7 variables measured on various scales,
#' including binary and ordered cateogrical (with varying numbers of categories).
#' There are also missing values in each variable
#'
#'\itemize{
#' \item \code{Inc} Income of the respondent in 1000s of dollars, binned into 21 ordered categories.
#' \item \code{DEG} Highest degree ever obtained (none, HS, Associates, Bachelors, or Graduate)
#' \item \code{CHILD} Number of children ever had.
#' \item \code{PINC} Financial status of respondent's parents when respondent was 16 (on a 5-point scale).
#' \item \code{PDEG} Maximum of mother's and father's highest degree
#' \item \code{PCHILD} Number of siblings of the respondent plus one
#' \item \code{AGE} Age of the respondent in years.
#'}
#'
#' @references
#' \insertAllCited{}
#'
#' @docType data
#'
#' @keywords datasets
#' @name gss
#'
#' @usage data("gss")
#'
#' @format A data frame containing 1190 observations (n = 1190) and 6 variables (p = 6) measured on the binary scale
#' \insertCite{fowlkes1988evaluating}{BGGM}. The variable descriptions were copied from
#' \insertCite{@section 4, @hoff2007extending;textual}{BGGM}
#'
#' @examples
#' data("gss")
NULL
#' @title Data: ifit Intensive Longitudinal Data
#'
#' @description A data frame containing 8 variables and nearly 200 observations. There are
#' two subjects, each of which provided data every data for over 90 days. Six variables are from
#' the PANAS scale (positive and negative affect), the daily number of steps, and the subject id.
#'
#'\itemize{
#' \item \code{id} Subject id
#' \item \code{interested}
#' \item \code{disinterested}
#' \item \code{excited}
#' \item \code{upset}
#' \item \code{strong}
#' \item \code{stressed}
#' \item \code{steps} steps recorded by a fit bit
#'}
#'
#' @references
#' \insertAllCited{}
#'
#' @docType data
#'
#' @keywords datasets
#' @name ifit
#'
#' @usage data("ifit")
#'
#' @format A data frame containing 197 observations and 8 variables. The data have been used in
#' \insertCite{o2020use}{BGGM} and \insertCite{williams2019bayesian}{BGGM}
#'
#' @examples
#' data("ifit")
NULL
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