hLDA | R package to fit hierarchical LDA to count data

hLDA is a R library. hLDA has no bugs, it has no vulnerabilities and it has low support. However hLDA has a Non-SPDX License. You can download it from GitHub.

The hLDA R package is a wrapper around the HLDA class/functions of the tomotopy python library. It allows to fit hierarchical topic models (hierarchical Latent Dirichlet Allocation or hLDA) on matrix of count data where each row is a sample (e.g. a document) and each column is a feature (e.g. a word). Element (i,j) of the count matrix provides the number of time a given feature j was found in document i.