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LSX needs quanteda, which CRAN will archive unless its check problems are fixed by Oct 22.

Semi-Supervised Algorithm for Document Scaling

0packages depend
6.7Kdownloads / year
76.0%test coverage
13/13flavors OK

Overview

About

A word embeddings-based semi-supervised model for document scaling Watanabe (2020) doi:10.1080/19312458.2020.1832976. LSS allows users to analyze large and complex corpora on arbitrary dimensions with seed words exploiting efficiency of word embeddings (SVD, Glove). It can generate word vectors on a users-provided corpus or incorporate a pre-trained word vectors.

Changes in 1.5.2
  • Add nested_weight to textmodel_lss() and as.textmodel_lss() to perform dictionary-like analysis.
  • Remove auto_weight from textmodel_lss().

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 5.0 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

Documentation signals are not tracked yet for this package.

Downloads

6.7K
CRAN downloads in the past year
Rank #5,245 · ~18/day · ~561/mo
LSX
Daily download trend is not available in this view yet.
63730 days
1.6K90 days
6.7K1 year
Compare downloads with other packages →
Also on90 r2u7 autocran

Repository

58Stars
5Forks
7Open issues
0Open PRs
0Releases
1,010Commits
4Commit identities
text-analysislsaquantedasentiment-analysis
1,010 commits · Last activity 2026-07-11 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
94%
Median days to close, 50 most recently updated closed issues
82
Median days to close, 50 most recently updated closed PRs
0
PracticesBeta

9 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/koheiw/lsx on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-07-11

Coverage (1)
Coverage reporting
Reproducibility and dev environment (1)
data-raw/
Show all practicesHide 2 practices
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
18 external dependencies (excludes base and recommended)

Installing LSX adds 40 packages (26 with compiled code, 38 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, quanteda 4.2 MB.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Dependencies facing archival

CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.

Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.9.0 (2020), Copyright holder
Releases (27)
Show 18 earlier eventsHide 18 earlier events

Package metadata

First published
2020-09-09
Total releases
27 / 6 yrs
License
GPL-3 OSI
Download size
1.9 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LSX")
Watanabe, K. (2026). LSX: Semi-Supervised Algorithm for Document Scaling (Version 1.5.2) [Computer software]. https://doi.org/10.32614/CRAN.package.LSX

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 LSX version 1.5.2 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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