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Provides tools to fit the latent state and response style ('lasars') model to survey data using either Particle Metropolis within Gibbs ('pmwg') or maximum likelihood estimation. The package facilitates estimation of less-biased latent state and psychologically interpretable response style parameters.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.5) |
| Imports: | purrr, pmwg, stats |
| Suggests: | knitr, rmarkdown |
| Published: | 2026-08-27 |
| DOI: | 10.32614/CRAN.package.lasars |
| Author: | Jess Grimmond [aut, cre], Guy Hawkins [aut], Scott Brown [aut], Quentin Gronau [aut] |
| Maintainer: | Jess Grimmond <jess.grimmond at newcastle.edu.au> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | lasars results |
| Reference manual: | lasars.html , lasars.pdf |
| Vignettes: |
Getting Started with lasars (source, R code) |
| Package source: | lasars_0.1.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: lasars_0.1.1.zip |
| macOS binaries: | r-release (arm64): lasars_0.1.1.tgz, r-oldrel (arm64): lasars_0.1.1.tgz, r-release (x86_64): lasars_0.1.1.tgz, r-oldrel (x86_64): lasars_0.1.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.