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-4.5)ImputeRobust_1.3-1.zip(r-4.4)ImputeRobust_1.3-1.zip(r-4.3)
ImputeRobust_1.3-1.tgz(r-4.4-any)ImputeRobust_1.3-1.tgz(r-4.3-any)
ImputeRobust_1.3-1.tar.gz(r-4.5-noble)ImputeRobust_1.3-1.tar.gz(r-4.4-noble)
ImputeRobust_1.3-1.tgz(r-4.4-emscripten)ImputeRobust_1.3-1.tgz(r-4.3-emscripten)
ImputeRobust.pdf |ImputeRobust.html✨
ImputeRobust/json (API)
NEWS

# 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 4 scripts 205 downloads 10 exports 70 dependencies

Last updated 6 years agofrom:a967434ef6. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 01 2024
R-4.5-win	OK	Nov 01 2024
R-4.5-linux	OK	Nov 01 2024
R-4.4-win	OK	Nov 01 2024
R-4.4-mac	OK	Nov 01 2024
R-4.3-win	OK	Nov 01 2024
R-4.3-mac	OK	Nov 01 2024

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 cachem cli clipr codetools cpp11 crayon digest dplyr extremevalues fansi fastmap forcats foreach gamlss gamlss.data gamlss.dist generics glmnet glue gWidgets2 gWidgets2tcltk haven hms iterators jomo lattice lifecycle lme4 magrittr MASS Matrix memoise mice minqa mitml nlme nloptr nnet numDeriv ordinal pan pillar pkgconfig prettyunits progress purrr R6 Rcpp RcppEigen readr 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