Package: mvnimpute 1.0.1

Hesen Li

mvnimpute: Simultaneously Impute the Missing and Censored Values

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.

Authors:Hesen Li

mvnimpute_1.0.1.tar.gz
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mvnimpute_1.0.1.tgz(r-4.5-emscripten)
mvnimpute.pdf |mvnimpute.html✨
mvnimpute/json (API)

# Install 'mvnimpute' in R:

install.packages('mvnimpute', repos = c('https://hli226.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hli226/mvnimpute/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

NHANES.dat - Combined NHANES dataset from 1999-2004 NHANES study
simulated.dat - Simulated continuous data with missing and censored values

On CRAN:

cpp

2.70 score 235 downloads 7 exports 28 dependencies

Last updated from:87f644e9ee. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	161
linux-devel-x86_64	OK	157
source / vignettes	OK	195
linux-release-arm64	OK	152
linux-release-x86_64	OK	151
macos-release-arm64	OK	157
macos-release-x86_64	OK	269
macos-oldrel-arm64	OK	209
macos-oldrel-x86_64	OK	316
windows-devel	OK	166
windows-release	OK	129
windows-oldrel	OK	185
wasm-release	OK	147

Exports:acf.calc avg.plot conv.plot data.generation marg.plot multiple.imputation visual.plot

Dependencies:cli cpp11 farver ggplot2 glue gtable isoband labeling LaplacesDemon lifecycle magrittr MASS plyr R6 RColorBrewer Rcpp RcppArmadillo RcppDist reshape2 rlang S7 scales stringi stringr truncnorm vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
mvnimpute: Multiple imputation for multivariate data with missing and censored values	mvnimpute-package
Autocorrelation function	acf.calc
Averaged simulated values plot function	avg.plot
Convergence plot function	conv.plot
Data generation function	data.generation
Marginal density plots function	marg.plot
Multiple imputation function	multiple.imputation
Combined NHANES dataset from 1999-2004 NHANES study	NHANES.dat
Simulated continuous data with missing and censored values	simulated.dat
Draws percentage plot for different type of values	visual.plot