Package: FEprovideR 1.1

Michael Kleinsasser

FEprovideR: Fixed Effects Logistic Model with High-Dimensional Parameters

A structured profile likelihood algorithm for the logistic fixed effects model and an approximate expectation maximization (EM) algorithm for the logistic mixed effects model. Based on He, K., Kalbfleisch, J.D., Li, Y. and Li, Y. (2013) <doi:10.1007/s10985-013-9264-6>.

Authors:Kevin He [aut], Wenbo Wu [aut], Michael Kleinsasser [cre]

FEprovideR_1.1.tar.gz
FEprovideR_1.1.zip(r-4.7)FEprovideR_1.1.zip(r-4.6)FEprovideR_1.1.zip(r-4.5)
FEprovideR_1.1.tgz(r-4.6-any)FEprovideR_1.1.tgz(r-4.5-any)
FEprovideR_1.1.tar.gz(r-4.7-any)FEprovideR_1.1.tar.gz(r-4.6-any)
FEprovideR_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
FEprovideR/json (API)

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

Bug tracker:https://github.com/umich-biostatistics/feprovider/issues

Datasets:
  • hospital - Simulated readmissions data for 500 hospitals
  • hospital_prepared - Prepared version of simulated readmissions data for 500 hospitals

On CRAN:

Conda:

2.70 score 1 stars 1 scripts 145 downloads 5 exports 20 dependencies

Last updated from:36d01cf8e5. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK138
source / vignettesOK214
linux-release-x86_64OK137
macos-release-arm64OK120
macos-oldrel-arm64OK113
windows-develOK98
windows-releaseOK93
windows-oldrelOK102
wasm-releaseOK109

Exports:confint.fe.provfe.data.prepfe.provfunnel.SRRtest.fe.prov

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglatticelifecycleMatrixpoibinR6RColorBrewerrlangS7scalesvctrsviridisLitewithr