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#' Bootstrapping procedures for Propensity Score Analysis.
#'
#' @name PSAboot-package
#' @docType package
#' @title Bootstrapping for Propensity Score Analysis
#' @import ggplot2
#' @import graphics
#' @import PSAgraphics
#' @import utils
#' @import Matching
#' @import MatchIt
#' @import modeltools
#' @import parallel
#' @importFrom stats as.formula cor density fitted glm predict qnorm qt quantile sd t.test update.formula var weighted.mean
#' @importFrom party ctree
#' @importFrom party where
#' @importFrom ggthemes geom_tufteboxplot
#' @import reshape2
#' @import rpart
#' @import TriMatch
#' @importFrom psych describe
#' @importFrom psych describeBy
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#' Programme of International Student Assessment (PISA) results from the United
#' States in 2009.
#'
#' Student results from the 2009 Programme of International Student Assessment (PISA)
#' as provided by the Organization for Economic Co-operation and Development (OECD).
#' See www.oecd.org/pisa/ for more information including the code book.
#'
#' Note that missing values have been imputed using the
#' mice package. Details on the specific procedure are in the \code{pisa.impute} function
#' in the \href{https://github.com/jbryer/pisa}{\code{pisa} package}.
#'
#' @name pisausa
#' @docType data
#' @references Organisation for Economic Co-operation and Development (2009).
#' Programme for International Student Assessment (PISA).
#' @format a data frame with 5,233 rows and 65 columns.
#' \describe{
#' \item{\code{CNT}}{Country}
#' \item{\code{SCHOOLID}}{SchoolID}
#' \item{\code{ST01Q01}}{Grade}
#' \item{\code{ST04Q01}}{Sex}
#' \item{\code{ST05Q01}}{Attend}
#' \item{\code{ST06Q01}}{Age}
#' \item{\code{ST07Q01}}{Repeat}
#' \item{\code{ST08Q01}}{At home mother}
#' \item{\code{ST08Q02}}{At home father}
#' \item{\code{ST08Q03}}{At home brothers}
#' \item{\code{ST08Q04}}{At home sisters}
#' \item{\code{ST08Q05}}{At home grandparents}
#' \item{\code{ST08Q06}}{At home others}
#' \item{\code{ST10Q01}}{Mother highest schooling}
#' \item{\code{ST12Q01}}{Mother current job status}
#' \item{\code{ST14Q01}}{Father highest schooling}
#' \item{\code{ST16Q01}}{Father current job status}
#' \item{\code{ST19Q01}}{Language at home}
#' \item{\code{ST20Q01}}{Desk}
#' \item{\code{ST20Q02}}{Own room}
#' \item{\code{ST20Q03}}{Study place}
#' \item{\code{ST20Q04}}{Computer}
#' \item{\code{ST20Q05}}{Software}
#' \item{\code{ST20Q06}}{Internet}
#' \item{\code{ST20Q07}}{Literature}
#' \item{\code{ST20Q08}}{Poetry}
#' \item{\code{ST20Q09}}{Art}
#' \item{\code{ST20Q10}}{Textbooks}
#' \item{\code{ST20Q12}}{Dictionary}
#' \item{\code{ST20Q13}}{Dishwasher}
#' \item{\code{ST20Q14}}{DVD}
#' \item{\code{ST21Q01}}{How many cellphones}
#' \item{\code{ST21Q02}}{How many TVs}
#' \item{\code{ST21Q03}}{How many computers}
#' \item{\code{ST21Q04}}{How many cars}
#' \item{\code{ST21Q05}}{How many rooms bath or shower}
#' \item{\code{ST22Q01}}{How many books}
#' \item{\code{ST23Q01}}{Reading enjoyment time}
#' \item{\code{ST31Q01}}{Enrich in test language}
#' \item{\code{ST31Q02}}{Enrich in mathematics}
#' \item{\code{ST31Q03}}{Enrich in science}
#' \item{\code{ST31Q05}}{Remedial in test language}
#' \item{\code{ST31Q06}}{Remedial in mathematics}
#' \item{\code{ST31Q07}}{Remedial in science}
#' \item{\code{ST32Q01}}{Out of school lessons in test language}
#' \item{\code{ST32Q02}}{Out of school lessons maths}
#' \item{\code{ST32Q03}}{Out of school lessons in science}
#' \item{\code{PUBPRIV}}{Public or private school}
#' \item{\code{STRATIO}}{Student to teacher ratio in school}
#' }
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#' Programme of International Student Assessment (PISA) results from the Luxembourg in 2009.
#'
#' Student results from the 2009 Programme of International Student Assessment (PISA)
#' as provided by the Organization for Economic Co-operation and Development (OECD).
#' See \url{https://www.oecd.org/pisa/} for more information including the code book.
#'
#' Note that missing values have been imputed using the
#' mice package. Details on the specific procedure are in the \code{pisa.impute} function
#' in the \href{https://github.com/jbryer/pisa}{\code{pisa} package}.
#'
#' @name pisalux
#' @docType data
#' @references Organisation for Economic Co-operation and Development (2009).
#' Programme for International Student Assessment (PISA).
#' @format a data frame with 4,622 rows and 65 columns.
#' \describe{
#' \item{\code{CNT}}{Country}
#' \item{\code{SCHOOLID}}{SchoolID}
#' \item{\code{ST01Q01}}{Grade}
#' \item{\code{ST04Q01}}{Sex}
#' \item{\code{ST05Q01}}{Attend}
#' \item{\code{ST06Q01}}{Age}
#' \item{\code{ST07Q01}}{Repeat}
#' \item{\code{ST08Q01}}{At home mother}
#' \item{\code{ST08Q02}}{At home father}
#' \item{\code{ST08Q03}}{At home brothers}
#' \item{\code{ST08Q04}}{At home sisters}
#' \item{\code{ST08Q05}}{At home grandparents}
#' \item{\code{ST08Q06}}{At home others}
#' \item{\code{ST10Q01}}{Mother highest schooling}
#' \item{\code{ST12Q01}}{Mother current job status}
#' \item{\code{ST14Q01}}{Father highest schooling}
#' \item{\code{ST16Q01}}{Father current job status}
#' \item{\code{ST19Q01}}{Language at home}
#' \item{\code{ST20Q01}}{Desk}
#' \item{\code{ST20Q02}}{Own room}
#' \item{\code{ST20Q03}}{Study place}
#' \item{\code{ST20Q04}}{Computer}
#' \item{\code{ST20Q05}}{Software}
#' \item{\code{ST20Q06}}{Internet}
#' \item{\code{ST20Q07}}{Literature}
#' \item{\code{ST20Q08}}{Poetry}
#' \item{\code{ST20Q09}}{Art}
#' \item{\code{ST20Q10}}{Textbooks}
#' \item{\code{ST20Q12}}{Dictionary}
#' \item{\code{ST20Q13}}{Dishwasher}
#' \item{\code{ST20Q14}}{DVD}
#' \item{\code{ST21Q01}}{How many cellphones}
#' \item{\code{ST21Q02}}{How many TVs}
#' \item{\code{ST21Q03}}{How many computers}
#' \item{\code{ST21Q04}}{How many cars}
#' \item{\code{ST21Q05}}{How many rooms bath or shower}
#' \item{\code{ST22Q01}}{How many books}
#' \item{\code{ST23Q01}}{Reading enjoyment time}
#' \item{\code{ST31Q01}}{Enrich in test language}
#' \item{\code{ST31Q02}}{Enrich in mathematics}
#' \item{\code{ST31Q03}}{Enrich in science}
#' \item{\code{ST31Q05}}{Remedial in test language}
#' \item{\code{ST31Q06}}{Remedial in mathematics}
#' \item{\code{ST31Q07}}{Remedial in science}
#' \item{\code{ST32Q01}}{Out of school lessons in test language}
#' \item{\code{ST32Q02}}{Out of school lessons maths}
#' \item{\code{ST32Q03}}{Out of school lessons in science}
#' \item{\code{PUBPRIV}}{Public or private school}
#' \item{\code{STRATIO}}{Student to teacher ratio in school}
#' }
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#' Character vector representing the list of covariates used for estimating
#' propensity scores.
#'
#' @name pisa.psa.cols
#' @docType data
#' @format a character vector with covariate names for estimating propensity scores.
#' @keywords datasets
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