Package: cond 1.2-3.1

cond: Approximate Conditional Inference for Logistic and Loglinear Models

Higher order likelihood-based inference for logistic and loglinear models.

Authors:S original by Alessandra R. Brazzale <[email protected]>. R port by Alessandra R. Brazzale <[email protected]>, following earlier work by Douglas Bates.

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cond/json (API)

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

Peer review:

Datasets:

On CRAN:

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

8 exports 1.24 score 4 dependencies 2 dependents 2 mentions 27 scripts 249 downloads

Last updated 6 years agofrom:9e8c868321. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-winNOTESep 10 2024
R-4.5-linuxNOTESep 10 2024
R-4.4-winNOTESep 10 2024
R-4.4-macNOTESep 10 2024
R-4.3-winNOTESep 10 2024
R-4.3-macNOTESep 10 2024

Exports:condcond.glmfamily.condfamily.summary.condplot.condprint.condprint.summary.condsummary.cond

Dependencies:latticeMatrixstatmodsurvival

hoa: An R Package Bundle for Higher Order Likelihood Inference

Rendered fromRnews-paper.Rnwusingutils::Sweaveon Sep 10 2024.

Last update: 2014-06-27
Started: 2014-06-27