R/00documentation.R

In lavacreg: Latent Variable Count Regression Models

#' A first example dataset to illustrate the use of lavacreg
#'
#' A dataset containing 9 variables: a dependent variable dv, a group variable treat
#' and 7 indicators for 3 latent covariates.
#'
#' @format A data frame with 871 rows and 9 variables:
#' \describe{
#'   \item{dv}{Count of correctly-answered items (dependent variable)}
#'   \item{treat}{Treatment group variable, where \code{0} is control and \code{2} is treatment}
#'   \item{z11}{First indicator of internal LoC}
#'   \item{z12}{Second indicator of internal LoC}
#'   \item{z21}{First indicator of external LoC}
#'   \item{z22}{Second indicator of external LoC}
#'   \item{z41}{First indicator of depression}
#'   \item{z42}{Second indicator of depression}
#'   \item{z43}{Third indicator of depression}
#' }
"example01"


# #' lavacreg
# #'
# #' Latent Variable Count Regression Models
# #'
# #' @docType package
# #' @author Christoph Kiefer <christoph.kiefer@uni-bielefeld.de>
# #' @import Rcpp fastGHQuad pracma SparseGrid
# #' @importFrom Rcpp evalCpp
# #' @useDynLib lavacreg
# #' @name lavacreg
# NULL