Inverse Regression for Text Analysis
Overview
Multinomial (inverse) regression inference for text documents and associated attributes. For details see: Taddy (2013 JASA) Multinomial Inverse Regression for Text Analysis arXiv:1012.2098 and Taddy (2015, AoAS), Distributed Multinomial Regression, arXiv:1311.6139. A minimalist partial least squares routine is also included. Note that the topic modeling capability of earlier 'textir' is now a separate package, 'maptpx'.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Matt Taddy <mataddy@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Matt",
family = "Taddy",
role = c("aut", "cre"),
email = "mataddy@gmail.com")
as necessary.
Package CITATION file contains call(s) to old-style personList() or
as.personList(). Please use c() on person objects instead.
Package CITATION file contains call(s) to old-style citEntry(). Please
use bibentry() instead.
The Description field contains
Inverse Regression for Text Analysis <arXiv:1012.2098> and Taddy (2015,
AoAS), Distributed Multinomial Regression, <arXiv:1311.6139>. A
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
Found the following URLs which should use \doi (with the DOI name only):
File ‘congress109.Rd’:
http://dx.doi.org/10.3886/ICPSR26242- NOTE11 OK, 2 NOTE2026-06-08
- WARNING11 OK, 1 NOTE, 1 WARNING2026-06-07
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 6
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 67%
Downloads
Dependencies
Installing textir adds 2 packages (1 with compiled code, 1.0 MB of source tarballs). Heaviest: gamlr 1.0 MB, distrom 6.7 KB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 2.0-5Latest
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 2.0-42015-08-19 · diff ↗
- RR 3.2.0 released · 2015-04-16
- 2.0-32015-04-01 · diff ↗
- RR 3.1.0 released · 2014-04-10
Show 32 earlier eventsHide 32 earlier events
- 2.0-2
- 2.0-12013-12-02 · diff ↗ ·
removed 11 exports
quadratic, cubic, freq, normalize, rdir, tfidf, topics, predict.topics, topicVar, expit, logitadded 1 export
srproj - RR 3.0.0 released · 2013-04-03
- 1.8-82012-08-09 · diff ↗
- 1.8-72012-08-03 · diff ↗
- 1.8-62012-06-12 · diff ↗
- 1.8-52012-04-08 · diff ↗
- 1.8-42012-04-07 · diff ↗
- RR 2.15.0 released · 2012-03-30
- 1.8-32012-03-19 · diff ↗
- 1.8-22012-03-07 · diff ↗
- 1.8-1
- 1.8
- 1.7-32011-12-27 · diff ↗
- 1.7-22011-12-01 · diff ↗
- RR 2.14.0 released · 2011-10-31
- 1.7-12011-09-23 · diff ↗
- 1.72011-09-22 · diff ↗ ·
added 11 exports
corr, cubic, freq, mnlm, normalize, pls, rdir, sdev, tfidf, topics, predict.topics - 1.6-32011-08-25 · diff ↗
- 1.6-12011-08-02 · diff ↗
- 1.62011-06-09 · diff ↗
- 1.5-42011-04-24 · diff ↗
- 1.5.32011-04-15 · diff ↗
- 1.5.22011-04-14 · diff ↗
- RR 2.13.0 released · 2011-04-13
- 1.52011-04-09 · diff ↗
- 1.42011-03-22 · diff ↗
- 1.2.22011-02-23 · diff ↗
- 1.2.12011-02-22 · diff ↗
- 1.22011-02-13 · diff ↗
- 1.12011-01-23
- RR 2.12.0 released · 2010-10-15
Package metadata
- First published
- 2011-01-23
- Total releases
- 30 / 15 yrs
- License
- GPL-3 OSI · relicensed from LGPL in 1.6-3
- Minimum R
- ≥ 2.15
- Bundled data
- 194 KB / 2 files
- Download size
- 206 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("textir")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
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.