Package: ImputeRobust 1.3-1

Daniel Salfran

ImputeRobust: Robust Multiple Imputation with Generalized Additive Models for Location Scale and Shape

Provides new imputation methods for the 'mice' package based on generalized additive models for location, scale, and shape (GAMLSS) as described in de Jong, van Buuren and Spiess <doi:10.1080/03610918.2014.911894>.

Authors:Daniel Salfran [aut, cre], Martin Spieß [aut, ths]

ImputeRobust_1.3-1.tar.gz
ImputeRobust_1.3-1.zip(r-4.7-any)ImputeRobust_1.3-1.zip(r-4.6-any)ImputeRobust_1.3-1.zip(r-4.5-any)
ImputeRobust_1.3-1.tgz(r-4.6-any)ImputeRobust_1.3-1.tgz(r-4.5-any)
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ImputeRobust_1.3-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ImputeRobust/json (API)

# Install 'ImputeRobust' in R:

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

Bug tracker:https://github.com/dsalfran/imputerobust/issues

Datasets:

sample.data - Sample data set with a monotone missing pattern
tao - Tropical Atmosphere Ocean (TAO) project data

On CRAN:

imputation missing-data multiple-imputation

3.65 score 9 stars 8 scripts 289 downloads 10 exports 66 dependencies

Last updated from:a967434ef6. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	193
source / vignettes	OK	184
linux-release-x86_64	OK	154
macos-release-arm64	OK	166
macos-oldrel-arm64	OK	223
windows-devel	OK	121
windows-release	OK	106
windows-oldrel	OK	110
wasm-release	OK	124

Exports:fit.gamlss mice.impute.gamlss mice.impute.gamlssBI mice.impute.gamlssGA mice.impute.gamlssJSU mice.impute.gamlssNO mice.impute.gamlssPO mice.impute.gamlssTF mice.impute.gamlssZIBI mice.impute.gamlssZIP

Dependencies:backports bit bit64 boot broom cli clipr codetools cpp11 crayon dplyr extremevalues forcats foreach gamlss gamlss.data gamlss.dist generics glmnet glue haven hms iterators jomo lattice lifecycle lme4 magrittr MASS Matrix mice minqa mitml nlme nloptr nnet numDeriv ordinal pan pillar pkgconfig prettyunits progress purrr R6 rbibutils Rcpp RcppEigen Rdpack readr reformulas rlang rpart shape stringi stringr survival tibble tidyr tidyselect tzdb ucminf utf8 vctrs vroom withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Multiple Imputation with Generalized Additive Models for Location, Scale, and Shape	ImputeRobust-package ImputeRobust
GAMLSS bootstrap method	ImpGamlssBootstrap
GAMLSS imputation fit	ImpGamlssFit
Multiple Imputation with Generalized Additive Models for Location, Scale, and Shape.	fit.gamlss mice.impute.gamlss mice.impute.gamlssBI mice.impute.gamlssGA mice.impute.gamlssJSU mice.impute.gamlssNO mice.impute.gamlssPO mice.impute.gamlssTF mice.impute.gamlssZIBI mice.impute.gamlssZIP
Model creator	ModelCreator
Sample data set with a monotone missing pattern	sample.data
Tropical Atmosphere Ocean (TAO) project data	tao