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>.
| Version: | 1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | ggplot2, Matrix, poibin |
| Published: | 2019-07-30 |
| DOI: | 10.32614/CRAN.package.FEprovideR |
| Author: | Kevin(Zhi) He [aut], Wenbo Wu [aut], Michael Kleinsasser [cre] |
| Maintainer: | Michael Kleinsasser <mkleinsa at umich.edu> |
| BugReports: | https://github.com/umich-biostatistics/FEprovideR/issues |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | FEprovideR results |
| Reference manual: | FEprovideR.html , FEprovideR.pdf |
| Package source: | FEprovideR_1.1.tar.gz |
| Windows binaries: | r-devel: FEprovideR_1.1.zip, r-release: FEprovideR_1.1.zip, r-oldrel: FEprovideR_1.1.zip |
| macOS binaries: | r-release (arm64): FEprovideR_1.1.tgz, r-oldrel (arm64): FEprovideR_1.1.tgz, r-release (x86_64): FEprovideR_1.1.tgz, r-oldrel (x86_64): FEprovideR_1.1.tgz |
| Old sources: | FEprovideR archive |
Please use the canonical form https://CRAN.R-project.org/package=FEprovideR to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.