CRAN/E | mvnimpute

mvnimpute

Simultaneously Impute the Missing and Censored Values

Installation

About

Implementing a multiple imputation algorithm for multivariate data with missing and censored values under a coarsening at random assumption (Heitjan and Rubin, 1991doi: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.

github.com/hli226/mvnimpute
Bug report File report

Key Metrics

Version 1.0.1
R ≥ 3.4.0
Published 2022-07-06 822 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks mvnimpute results

Downloads

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Maintainer

Maintainer

Hesen Li

Authors

Hesen Li

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

mvnimpute archive

Depends

R ≥ 3.4.0

Imports

ggplot2
reshape2
LaplacesDemon
rlang
Rcpp
MASS
truncnorm

Suggests

mice
clusterGeneration

LinkingTo

Rcpp
RcppArmadillo
RcppDist