esmNetwork: Compute network of ESM variables using lags
In PeterVerboon/lagnetw: The package builds a network for ESM data

Description Usage Arguments Value Examples

Based om lagged variables from an ESM study a network is constructed.

esmNetwork(
  dat,
  subjnr,
  level1,
  level2 = NULL,
  vars,
  covs = NULL,
  randomAll = FALSE,
  randomVars = NULL,
  randomIcept = TRUE,
  fixedIcept = TRUE,
  groups = NULL,
  lagn = 1,
  centerType = "person",
  optim = "bobyqa",
  layout = "spring",
  labs = NULL,
  solid = 0.1,
  plimit = 0.05,
  titlePlot = "Figure"
)

`dat`	data frame
`subjnr`	variable name, indicating the subjects
`level1`	variable name, indicating level 1 variable, e.g. beeps
`level2`	variable name, indicating level 2 variable, e.g. days
`vars`	vector with the names of the variables for which the network is computed
`covs`	covariates in the analyses, which are not plotted in the network. Covariates are not lagged and not centered.
`randomAll`	logical indicates whether all variables should be used as random effects
`randomVars`	vector of variable names, used as random effects
`randomIcept`	logical indicating whether there is a random intercept (TRUE) or not (FALSE)
`fixedIcept`	logical indicating whether there is a fixed intercept (TRUE) or not (FALSE)
`groups`	variable used to label groups of variables in the network figure
`lagn`	number of lags used in the network
`centerType`	vector of same length as vars that indicates for each variable which centering must be, applied, either "person" or "grand_mean" or a number. If only "person" or "grand_mean" is specified (default), all variables are person or grand-mean centered, respectively. If centerType is NULL no variables are centered.
`optim`	optimizer used in lmer, options: "bobyqa" or "Nelder_Mead", see lmerControl (lme4)
`layout`	layout specification of plot (see options in qgraph)
`labs`	labels used in the network plot
`solid`	effect size above which lines are shown as solid (default = .10)
`plimit`	p-value under which lines are shown (default = .05)
`titlePlot`	title for the plot

a qgraph object (network) that can be plotted and the centrality measures

data("news")
vars <- c("Fearful","Hopeful","Anxious","Down","Irritated","Relaxed","Insecure")
labs <- c("FF","HO","ANX","DOW", "IRR","REL","INS")
res <- esmNetwork(dat = news, subjnr="subjnr",level1 = "beepnr",
                  level2= "daynr", vars = vars, labs = labs, lagn = 1)