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tosca  

Tools for Statistical Content Analysis
View on CRAN: Click here


Download and install tosca package within the R console
Install from CRAN:
install.packages("tosca")

Install from Github:
library("remotes")
install_github("cran/tosca")

Install by package version:
library("remotes")
install_version("tosca", "0.3-4")



Attach the package and use:
library("tosca")
Maintained by
Lars Koppers
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-08-31
Latest Update: 2025-04-22
Description:
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>.
How to cite:
Lars Koppers (2018). tosca: Tools for Statistical Content Analysis. R package version 0.3-4, https://cran.r-project.org/web/packages/tosca. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:14), 0.1-0 (2018-08-31 19:50), 0.1-1 (2018-09-03 14:30), 0.1-2 (2018-09-13 16:50), 0.1-3 (2019-01-17 14:00), 0.1-4 (2019-03-18 15:50), 0.2-0 (2020-03-10 16:20), 0.3-1 (2021-04-20 11:50), 0.3-2 (2021-10-28 15:40)
Other packages that cited tosca R package
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Complete documentation for tosca
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