kkdey/classtpx
MAP Estimation using topic models in a semi-supervised set up where there are few samples with known topic proportions or known to belong to some cluster exclusively and there are samples for which no such information are available.

Package index
Search the kkdey/classtpx package
Vignettes
Functions
8
Source code
12
Man pages
5
Home
/
GitHub
/
kkdey/classtpx: MAP Estimation using topic models in a semi-supervised set up where there are few samples with known topic proportions or known to belong to some cluster exclusively and there are samples for which no such information are available.
/
API

API for kkdey/classtpx
MAP Estimation using topic models in a semi-supervised set up where there are few samples with known topic proportions or known to belong to some cluster exclusively and there are samples for which no such information are available.

Global functions
expit Man page
logit Man page
normalize Man page
predict.topics Man page
rdir Man page
stm_tfidf Man page
topicVar Man page
topics Man page
kkdey/classtpx documentation built on May 20, 2019, 10:34 a.m.

R Package Documentation

rdrr.io home R language documentation Run R code online

Browse R Packages

CRAN packages Bioconductor packages R-Forge packages GitHub packages

We want your feedback!

Note that we can't provide technical support on individual packages. You should contact the package authors for that.
GitHub issue tracker
ian@mutexlabs.com
Personal blog

 
Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.

Close