Package: TwoStepCLogit 1.2.6

TwoStepCLogit: Conditional Logistic Regression: A Two-Step Estimation Method

Conditional logistic regression with longitudinal follow up and individual-level random coefficients: A stable and efficient two-step estimation method.

Authors:Radu V. Craiu [aut], Thierry Duchesne [aut, cre], Daniel Fortin [aut], Sophie Baillargeon [aut]

TwoStepCLogit_1.2.6.tar.gz
TwoStepCLogit_1.2.6.zip(r-4.7)TwoStepCLogit_1.2.6.zip(r-4.6)TwoStepCLogit_1.2.6.zip(r-4.5)
TwoStepCLogit_1.2.6.tgz(r-4.6-any)TwoStepCLogit_1.2.6.tgz(r-4.5-any)
TwoStepCLogit_1.2.6.tar.gz(r-4.7-any)TwoStepCLogit_1.2.6.tar.gz(r-4.6-any)
TwoStepCLogit_1.2.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
TwoStepCLogit/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.40 score 25 scripts 236 downloads 1 mentions 2 exports 3 dependencies

Last updated from:3b19361e67. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK118
source / vignettesOK137
linux-release-x86_64OK110
macos-release-arm64OK75
macos-oldrel-arm64OK87
windows-develOK78
windows-releaseOK90
windows-oldrelOK79
wasm-releaseOK89

Exports:ddimTs.estim

Dependencies:latticeMatrixsurvival