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-any)FEprovideR_1.1.zip(r-4.6-any)FEprovideR_1.1.zip(r-4.5-any)
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✨
DESCRIPTION
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 301 downloads 5 exports 20 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK119
source / vignettesOK161
linux-releaseOK133
macos-releaseOK111
macos-oldrelOK110
windows-develOK101
windows-releaseOK102
windows-oldrelOK84
wasm-releaseOK83

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

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglatticelifecycleMatrixpoibinR6RColorBrewerrlangS7scalesvctrsviridisLitewithr