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
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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✨
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 336 scripts 440 downloads 1 mentions 8 exports 1 dependencies

Last updated from:a6639c25ff. Checks:12 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK107
linux-devel-x86_64OK106
source / vignettesOK148
linux-release-arm64OK119
linux-release-x86_64OK101
macos-release-arm64OK86
macos-release-x86_64OK191
macos-oldrel-arm64OK120
macos-oldrel-x86_64OK157
windows-develOK88
windows-releaseOK97
windows-oldrelOK79
wasm-releaseFAIL88

Exports:expitlogitnormalizepredict.topicsrdirstm_tfidftopicstopicVar

Dependencies:slam