Package: maptpx 1.9-7

Matt Taddy

maptpx: MAP Estimation of Topic Models

Maximum a posteriori (MAP) estimation for topic models (i.e., Latent Dirichlet Allocation) in text analysis, as described in Taddy (2012) 'On estimation and selection for topic models'. Previous versions of this code were included as part of the 'textir' package. If you want to take advantage of openmp parallelization, uncomment the relevant flags in src/MAKEVARS before compiling.

Authors:Matt Taddy <[email protected]>

maptpx_1.9-7.tar.gz
maptpx_1.9-7.zip(r-4.7-x86_64)maptpx_1.9-7.zip(r-4.7-arm64)maptpx_1.9-7.zip(r-4.6-x86_64)maptpx_1.9-7.zip(r-4.6-arm64)maptpx_1.9-7.zip(r-4.5-x86_64)
maptpx_1.9-7.tgz(r-4.6-x86_64)maptpx_1.9-7.tgz(r-4.6-arm64)maptpx_1.9-7.tgz(r-4.5-x86_64)maptpx_1.9-7.tgz(r-4.5-arm64)
maptpx_1.9-7.tar.gz(r-4.7-arm64)maptpx_1.9-7.tar.gz(r-4.7-x86_64)maptpx_1.9-7.tar.gz(r-4.6-arm64)maptpx_1.9-7.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
maptpx/json (API)

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

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

Uses libs:
  • openblas– Optimized BLAS

On CRAN:

Conda:

map-estimationtopic-modelingopenblas

6.28 score 19 stars 2 packages 333 scripts 465 downloads 1 mentions 8 exports 1 dependencies

Last updated from:a6639c25ff. Checks:14 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK95
linux-devel-x86_64OK114
source / vignettesOK150
linux-release-arm64OK90
linux-release-x86_64OK107
macos-release-arm64OK166
macos-release-x86_64OK203
macos-oldrel-arm64OK155
macos-oldrel-x86_64OK241
windows-devel-arm64OK306
windows-devel-x86_64OK99
windows-release-arm64OK303
windows-release-x86_64OK56
windows-oldrel-x86_64OK67
wasm-releaseFAIL105

Exports:expitlogitnormalizepredict.topicsrdirstm_tfidftopicstopicVar

Dependencies:slam