Package: misaem 1.1.0

Julie Josse

misaem: Linear Regression and Logistic Regression with Missing Covariates

Estimate parameters of linear regression and logistic regression with missing covariates with missing data, perform model selection and prediction, using EM-type algorithms. Jiang W., Josse J., Lavielle M., TraumaBase Group (2020) <doi:10.1016/j.csda.2019.106907>.

Authors:Wei Jiang [aut], Pavlo Mozharovskyi [ctb], Imke Mayer [ctb], Christophe Muller [ctb], Julie Josse [aut, cre]

misaem_1.1.0.tar.gz
misaem_1.1.0.zip(r-4.7-any)misaem_1.1.0.zip(r-4.6-any)misaem_1.1.0.zip(r-4.5-any)
misaem_1.1.0.tgz(r-4.6-any)misaem_1.1.0.tgz(r-4.5-any)
misaem_1.1.0.tar.gz(r-4.7-any)misaem_1.1.0.tar.gz(r-4.6-any)
misaem_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
misaem/json (API)

# Install 'misaem' in R:
install.packages('misaem', repos = c('https://julierennes.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/christophemuller/misaem/issues

On CRAN:

Conda:

3.86 score 2 stars 37 scripts 1.9k downloads 7 exports 14 dependencies

Last updated from:135b441273. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING135
source / vignettesOK180
linux-releaseWARNING131
macos-releaseWARNING214
macos-oldrelWARNING183
windows-develWARNING95
windows-releaseWARNING88
windows-oldrelWARNING91
wasm-releaseOK96

Exports:combinationslikelihood_saemlouis_lr_saemmiss.glmmiss.glm.model.selectmiss.lmmiss.lm.model.select

Dependencies:abindcodetoolsforeachglmnetiteratorslatticeMASSMatrixmvtnormnormRcppRcppEigenshapesurvival