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
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FEprovideR_1.1.tgz(r-4.4-any)FEprovideR_1.1.tgz(r-4.3-any)
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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:

5 exports 1 stars 0.83 score 29 dependencies 1 scripts 153 downloads

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

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-winOKSep 09 2024
R-4.5-linuxOKSep 09 2024
R-4.4-winOKSep 09 2024
R-4.4-macOKSep 09 2024
R-4.3-winOKSep 09 2024
R-4.3-macOKSep 09 2024

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

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpoibinR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr