Package: distrom 1.0.2

Nelson Rayl

distrom: Distributed Multinomial Regression

Fast distributed/parallel estimation for multinomial logistic regression via Poisson factorization and the 'gamlr' package. For details see: Taddy (2015, AoAS), Distributed Multinomial Regression, <doi:10.48550/arXiv.1311.6139>.

Authors:Matt Taddy [aut], Nelson Rayl [cre]

distrom_1.0.2.tar.gz
distrom_1.0.2.zip(r-4.7-any)distrom_1.0.2.zip(r-4.6-any)distrom_1.0.2.zip(r-4.5-any)
distrom_1.0.2.tgz(r-4.6-any)distrom_1.0.2.tgz(r-4.5-any)
distrom_1.0.2.tar.gz(r-4.7-any)distrom_1.0.2.tar.gz(r-4.6-any)
distrom_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
distrom/json (API)

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

Bug tracker:https://github.com/taddylab/distrom/issues

On CRAN:

Conda:

5.70 score 20 stars 3 packages 56 scripts 377 downloads 3 exports 3 dependencies

Last updated from:ee8a32b054. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK174
source / vignettesOK207
linux-releaseOK178
macos-releaseOK82
macos-oldrelOK108
windows-develOK81
windows-releaseOK70
windows-oldrelOK86
wasm-releaseOK92

Exports:collapsedmrpredict

Dependencies:gamlrlatticeMatrix

Readme and manuals

Help Manual

Help pageTopics
Data checking and binningcollapse
Distributed Multinomial Regressioncoef.dmr distrom dmr predict.dmr
Class '"dmrcoef"'dmrcoef-class predict,dmrcoef-method