basicspace: Recovering a Basic Space from Issue Scales

Provides functions to estimate latent dimensions of choice and judgment using Aldrich-McKelvey and Blackbox scaling methods, as described in Poole et al. (2016, <doi:10.18637/jss.v069.i07>). These techniques allow researchers (particularly those analyzing political attitudes, public opinion, and legislative behavior) to recover spatial estimates of political actors' ideal points and stimuli from issue scale data, accounting for perceptual bias, multidimensional spaces, and missing data. The package uses singular value decomposition and alternating least squares (ALS) procedures to scale self-placement and perceptual data into a common latent space for the analysis of ideological or evaluative dimensions. Functionality also include tools for assessing model fit, handling complex survey data structures, and reproducing simulated datasets for methodological validation.

Version:	0.25
Depends:	R (≥ 3.0.0), tools
Published:	2024-12-03
DOI:	10.32614/CRAN.package.basicspace
Author:	Royce Carroll [aut], Christopher Hare [aut, cre], Jeffrey B. Lewis [aut], James Lo [aut], Keith T. Poole [aut], Howard Rosenthal [aut]
Maintainer:	Christopher Hare <cdhare at ucdavis.edu>
License:	GPL-2
URL:	https://CRAN.R-project.org/package=basicspace
NeedsCompilation:	yes
Citation:	basicspace citation info
Materials:	ChangeLog
CRAN checks:	basicspace results

Documentation:

Reference manual:	basicspace.pdf
Vignettes:	Recovering a Basic Space in R (source, R code)

Downloads:

Package source:	basicspace_0.25.tar.gz
Windows binaries:	r-devel: basicspace_0.25.zip, r-release: basicspace_0.25.zip, r-oldrel: basicspace_0.25.zip
macOS binaries:	r-release (arm64): basicspace_0.25.tgz, r-oldrel (arm64): basicspace_0.25.tgz, r-release (x86_64): basicspace_0.25.tgz, r-oldrel (x86_64): basicspace_0.25.tgz
Old sources:	basicspace archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=basicspace to link to this page.