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
Config/pak/sysreqs: libicu-dev
Repository: https://hli226.r-universe.dev
Date/Publication: 2022-07-05 19:41:18 UTC
RemoteUrl: https://github.com/hli226/mvnimpute
RemoteRef: HEAD
RemoteSha: 87f644e9eed1c0ba04d703385a7a2b98b15fa437
NeedsCompilation: yes
Packaged: 2026-10-08 09:08:20 UTC; root