Package: gIPFrm 3.1

gIPFrm: Generalized Iterative Proportional Fitting for Relational Models

Maximum likelihood estimation under relational models, with or without the overall effect.

Authors:Anna Klimova, Tamas Rudas

gIPFrm_3.1.tar.gz
gIPFrm_3.1.zip(r-4.7)gIPFrm_3.1.zip(r-4.6)gIPFrm_3.1.zip(r-4.5)
gIPFrm_3.1.tgz(r-4.6-any)gIPFrm_3.1.tgz(r-4.5-any)
gIPFrm_3.1.tar.gz(r-4.7-any)gIPFrm_3.1.tar.gz(r-4.6-any)
gIPFrm_3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
gIPFrm/json (API)

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

On CRAN:

Conda:

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

1.00 score 7 scripts 149 downloads 6 exports 0 dependencies

Last updated from:ec66259056. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK95
source / vignettesOK232
linux-release-x86_64OK89
macos-release-arm64OK155
macos-oldrel-arm64OK190
windows-develOK67
windows-releaseOK70
windows-oldrelOK90
wasm-releaseOK79

Exports:bisection.updateg.ipfgrid.updateipf.gammasingle.cellssuff.stat

Dependencies: