Package: mvnimpute
Type: Package
Title: Simultaneously Impute the Missing and Censored Values
Version: 1.0.1
Depends: R (>= 3.4.0)
Author: Hesen Li
Maintainer: Hesen Li <li.hesen.21@gmail.com>
URL: https://github.com/hli226/mvnimpute
BugReports: https://github.com/hli226/mvnimpute/issues
Description: Implementing a multiple imputation algorithm for multivariate data with missing and censored values under a coarsening at random assumption (Heitjan and Rubin, 1991<doi:10.1214/aos/1176348396>). The multiple imputation algorithm is based on the data augmentation algorithm proposed by Tanner and Wong (1987)<doi:10.1080/01621459.1987.10478458>. The Gibbs sampling algorithm is adopted to to update the model parameters and draw imputations of the coarse data.
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.0
LinkingTo: Rcpp, RcppArmadillo, RcppDist
Imports: ggplot2, reshape2, LaplacesDemon, rlang, Rcpp, MASS, truncnorm
Suggests: mice, clusterGeneration
NeedsCompilation: yes
Packaged: 2022-07-05 19:44:02 UTC; hesenli
Repository: CRAN
Date/Publication: 2022-07-06 09:40:02 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 17:12:22 UTC; windows
Archs: i386, x64
