R/psa-package.R

In jbryer/psa: Applied Propensity Score Analysis with R

utils::globalVariables(c('grid.layout','grid.newpage','pushViewport','viewport',
						 'align.plots','index','covariate','value','percent',
						 'std.estimate','Covariate','p.value','ci.min','ci.max',
						 'xmin', 'xmax', 'xmid', 'se'))

#' Applied Propensity Score Analysis with R
#' 
#' @name psa-package
#' @docType package
#' @title Applied Propensity Score Analysis with R
#' @author \email{jason@@bryer.org}
#' @keywords package psa matching propensity score analysis
#' @import ggplot2
#' @import grid
#' @import reshape2
#' @import dplyr
#' @import Matching
#' @import MatchIt
#' @import shiny
#' @importFrom psych describe describeBy
#' @importFrom plyr llply
#' @importFrom cowplot plot_grid
#' @importFrom stats binomial density fitted fivenum glm median model.matrix quantile sd t.test
#' @import mice
NA

#' Student data file.
#' 
#' @name students
#' @docType data
#' @format a data frame with 374 ovservations of 17 variables.
#' @keywords datasets
NA

#' Data from a study examining the effects of tutoring on English grades.
#' 
#' @name tutoring
#' @docType data
#' @format a data frame with 1,381 observations of 17 variables.
#' @keywords datasets
NA

#' Number of articles related to propensity score analysis in the Web of Science
#' and Google Scholar database.
#' 
#' @name psa_citations
#' @docType data
#' @format a data frame with 92 observations of 4 variables.
#' @keywords datasets
NA