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-4.5)FEprovideR_1.1.zip(r-4.4)FEprovideR_1.1.zip(r-4.3)
FEprovideR_1.1.tgz(r-4.4-any)FEprovideR_1.1.tgz(r-4.3-any)
FEprovideR_1.1.tar.gz(r-4.5-noble)FEprovideR_1.1.tar.gz(r-4.4-noble)
FEprovideR_1.1.tgz(r-4.4-emscripten)FEprovideR_1.1.tgz(r-4.3-emscripten)
FEprovideR.pdf |FEprovideR.html✨
FEprovideR/json (API)

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

Peer review:

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:

2.70 score 1 stars 1 scripts 142 downloads 5 exports 29 dependencies

Last updated 5 years agofrom:36d01cf8e5. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-winOKNov 08 2024
R-4.5-linuxOKNov 08 2024
R-4.4-winOKNov 08 2024
R-4.4-macOKNov 08 2024
R-4.3-winOKNov 08 2024
R-4.3-macOKNov 08 2024

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

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpoibinR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr