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-4.5)maptpx_1.9-7.zip(r-4.4)maptpx_1.9-7.zip(r-4.3)
maptpx_1.9-7.tgz(r-4.4-x86_64)maptpx_1.9-7.tgz(r-4.4-arm64)maptpx_1.9-7.tgz(r-4.3-x86_64)maptpx_1.9-7.tgz(r-4.3-arm64)
maptpx_1.9-7.tar.gz(r-4.5-noble)maptpx_1.9-7.tar.gz(r-4.4-noble)
maptpx_1.9-7.tgz(r-4.4-emscripten)maptpx_1.9-7.tgz(r-4.3-emscripten)
maptpx.pdf |maptpx.html
maptpx/json (API)

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

Peer review:

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

Uses libs:
  • openblas– Optimized BLAS

On CRAN:

map-estimationtopic-modeling

6.26 score 19 stars 2 packages 318 scripts 313 downloads 1 mentions 8 exports 1 dependencies

Last updated 4 years agofrom:a6639c25ff. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-win-x86_64OKNov 04 2024
R-4.5-linux-x86_64OKNov 04 2024
R-4.4-win-x86_64OKNov 04 2024
R-4.4-mac-x86_64OKNov 04 2024
R-4.4-mac-aarch64OKNov 04 2024
R-4.3-win-x86_64OKNov 04 2024
R-4.3-mac-x86_64OKNov 04 2024
R-4.3-mac-aarch64OKNov 04 2024

Exports:expitlogitnormalizepredict.topicsrdirstm_tfidftopicstopicVar

Dependencies:slam