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tosca

0.3-4Package record

Tools for Statistical Content Analysis

1packages dependsuggested by 1
5.3Kdownloads / year
98.3%test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 3.1 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.3-4
README· In the repository, left out of the releaseVignettesYes · 1 · evaluation depends on the environmentNEWSNoCitation fileYes · computed when R runs itWebsitenot declared in DESCRIPTION
Help pages
41
Examples that run
68%26 run in a plain check · 12 never run
Exported functions with examples
93%
Documented parameters
92%
Return-value docs
100%
Help pages citing references
10%
Vignettes (1)

Downloads

5.3K
CRAN downloads in the past year
Rank #14,883 · ~15/day · ~441/mo
Daily download trend is not available in this view yet.
30430 days
80590 days
5.3K1 year
Compare downloads with other packages →
Also on67 r2u3 autocran

Repository

18Stars
2Forks
4Open issues
2Open PRs
3Releases
138Commits
4Commit identities
138 commits · Last activity 2025-04-22 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
91%
Median days to close, 50 most recently updated closed issues
258
Median days to close, 50 most recently updated closed PRs
5

Stars over time

2025-08-30 · 172026-07-07 · 18
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/docma-tu/tosca on 2026-10-18.

Continuous integration (1)
Travis CI (config file)
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)

Installing tosca adds 40 packages (28 with compiled code, 49 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, data.table 5.7 MB.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Suggested by 1
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (4)
Author, Maintainer since 0.1-0 (2018)
Contributor
Releases (9)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.3-4Latest
    record
    2025-04-22 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.3-2
    record
    2021-10-28 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.3-1
    record
    2021-04-20 · diff ↗ ·
    added 1 export
    readTextmeta.df
  • R
    R 4.0.0 released · 2020-04-24
  • 0.2-0
    record
    2020-03-10 · diff ↗ ·
    added 10 exports
    as.meta, filterID, importance, precision, recall, sampling, topWords, topicCoherence, vprecision, vrecall
  • R
    R 3.6.0 released · 2019-04-26
  • 0.1-4
    record
    2019-03-18 · diff ↗
  • 0.1-3
    record
    2019-01-17 · diff ↗ ·
    added 5 exports
    as.corpus.textmeta, as.textmeta.corpus, is.textmeta_tidy, readWhatsApp, tidy.textmeta
  • 0.1-2
    record
    2018-09-13 · diff ↗
  • 0.1-1
    record
    2018-09-03 · diff ↗
Show 2 earlier eventsHide 2 earlier events
  • 0.1-0
    record
    2018-08-31
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-08-31
Total releases
9 / 8 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Download size
966 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tosca")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tosca version 0.3-4 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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