tosca
Tools for Statistical Content Analysis
A framework for statistical analysis in content analysis. In addition to a pipeline for preprocessing text corpora and linking to the latent Dirichlet allocation from the 'lda' package, plots are offered for the descriptive analysis of text corpora and topic models. In addition, an implementation of Chang's intruder words and intruder topics is provided. Sample data for the vignette is included in the toscaData package, which is available on gitHub: <https://github.com/Docma-TU/toscaData>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3-4 |
rolling linux/jammy R-4.5 | tosca_0.3-4.tar.gz |
847.3 KiB |
0.3-4 |
rolling linux/noble R-4.5 | tosca_0.3-4.tar.gz |
846.9 KiB |
0.3-4 |
rolling source/ R- | tosca_0.3-4.tar.gz |
965.1 KiB |
0.3-4 |
latest linux/jammy R-4.5 | tosca_0.3-4.tar.gz |
847.3 KiB |
0.3-4 |
latest linux/noble R-4.5 | tosca_0.3-4.tar.gz |
846.9 KiB |
0.3-4 |
latest source/ R- | tosca_0.3-4.tar.gz |
965.1 KiB |
0.3-4 |
2026-04-26 source/ R- | tosca_0.3-4.tar.gz |
965.1 KiB |
0.3-4 |
2026-04-23 source/ R- | tosca_0.3-4.tar.gz |
965.1 KiB |
0.3-4 |
2026-04-09 windows/windows R-4.5 | tosca_0.3-4.zip |
848.1 KiB |
0.3-2 |
2025-04-20 source/ R- | tosca_0.3-2.tar.gz |
963.8 KiB |