R/mvnimpute-package.R

#' mvnimpute: Multiple imputation for multivariate data with missing and censored values
#'
#' The mvnimpute package implements multiple imputation for simultaneously imputing missing and censored values based on the joint normal
#' model assumption.
#'
#' @docType package
#'
#' @name mvnimpute-package
#'
#' @useDynLib mvnimpute
#'
#' @author
#'  Hesen Li
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# various imports
#' @importFrom stats na.omit
#' @importFrom stats var
#' @importFrom stats cor
#' @importFrom stats cov
#' @importFrom stats rnorm
#' @importFrom stats complete.cases
#' @importFrom stats density
#' @importFrom stats runif
#' @importFrom stats rexp
#' @importFrom ggplot2 ggplot
#' @importFrom ggplot2 ggtitle
#' @importFrom ggplot2 aes
#' @importFrom ggplot2 coord_flip
#' @importFrom ggplot2 geom_bar
#' @importFrom ggplot2 labs
#' @importFrom ggplot2 xlab
#' @importFrom ggplot2 ylab
#' @importFrom ggplot2 geom_line
#' @importFrom rlang .data
#' @importFrom graphics plot
#' @importFrom graphics abline
#' @importFrom LaplacesDemon rinvwishart
#' @importFrom truncnorm rtruncnorm
#' @importFrom MASS mvrnorm
#' @importFrom reshape2 melt
#' @importFrom Rcpp sourceCpp
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mvnimpute documentation built on July 6, 2022, 5:08 p.m.