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)
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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

6.27 score 19 stars 2 packages 327 scripts 494 downloads 1 mentions 8 exports 1 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK128
linux-devel-x86_64OK100
source / vignettesOK139
linux-release-arm64OK110
linux-release-x86_64OK101
macos-release-arm64OK105
macos-release-x86_64OK293
macos-oldrel-arm64OK95
macos-oldrel-x86_64OK135
windows-develOK75
windows-releaseOK72
windows-oldrelOK81
wasm-releaseFAIL94

Exports:expitlogitnormalizepredict.topicsrdirstm_tfidftopicstopicVar

Dependencies:slam