Package: cond 1.2-4

cond: Approximate Conditional Inference for Logistic and Loglinear Models

Implements higher order likelihood-based inference for logistic and loglinear models.

Authors:Alessandra R. Brazzale [aut, cre]

cond_1.2-4.tar.gz
cond_1.2-4.zip(r-4.7)cond_1.2-4.zip(r-4.6)cond_1.2-4.zip(r-4.5)
cond_1.2-4.tgz(r-4.6-any)cond_1.2-4.tgz(r-4.5-any)
cond_1.2-4.tar.gz(r-4.7-any)cond_1.2-4.tar.gz(r-4.6-any)
cond_1.2-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
cond/json (API)

# Install 'cond' in R:
install.packages('cond', repos = c('https://arbrazzale.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.

2.51 score 2 packages 27 scripts 733 downloads 2 mentions 8 exports 4 dependencies

Last updated from:d153c0746c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK132
source / vignettesOK163
linux-release-x86_64OK113
macos-release-arm64OK174
macos-oldrel-arm64OK200
windows-develOK129
windows-releaseOK106
windows-oldrelOK86
wasm-releaseOK92

Exports:condcond.glmfamily.condfamily.summaryCondplot.condprint.condprint.summaryCondsummary.cond

Dependencies:latticeMatrixstatmodsurvival