Implements methods for analyzing latent variable models with measurement error correction, including Item Response Theory (IRT) models. Provides tools for various correction methods such as Bayesian Markov Chain Monte Carlo (MCMC), over-imputation, bootstrapping for robust standard errors, Ordinary Least Squares (OLS), and Instrumental Variables (IV) based approaches. Supports flexible specification of observable indicators and groupings for latent variable analyses in social sciences and other fields. Methods are described in a working paper (2025) <doi:10.48550/arXiv.2507.22218>.
| Version: | 1.1.4 |
| Depends: | R (≥ 3.5.0) |
| Imports: | reticulate, stats, sensemakr, pscl, AER, sandwich, mvtnorm, Amelia, emIRT, gtools |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-02-09 |
| DOI: | 10.32614/CRAN.package.lpmec |
| Author: | Connor Jerzak [aut, cre], Stephen Jessee [aut] |
| Maintainer: | Connor Jerzak <connor.jerzak at gmail.com> |
| BugReports: | https://github.com/cjerzak/lpmec-software/issues |
| License: | GPL-3 |
| URL: | https://github.com/cjerzak/lpmec-software |
| NeedsCompilation: | no |
| SystemRequirements: | Python (>= 3.10) with jax, numpy, numpyro (optional; for NumPyro backend via reticulate) |
| Citation: | lpmec citation info |
| Materials: | NEWS |
| CRAN checks: | lpmec results |
| Reference manual: | lpmec.html , lpmec.pdf |
| Vignettes: |
lpmec Package Tutorial (source, R code) |
| Package source: | lpmec_1.1.4.tar.gz |
| Windows binaries: | r-devel: lpmec_1.1.4.zip, r-release: lpmec_1.1.4.zip, r-oldrel: lpmec_1.1.4.zip |
| macOS binaries: | r-release (arm64): lpmec_1.1.4.tgz, r-oldrel (arm64): lpmec_1.1.4.tgz, r-release (x86_64): lpmec_1.1.4.tgz, r-oldrel (x86_64): lpmec_1.1.4.tgz |
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