lpmec: Measurement Error Analysis and Correction Under Identification Restrictions

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 (may not be active yet)
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

Documentation:

Reference manual:	lpmec.html , lpmec.pdf
Vignettes:	lpmec Package Tutorial (source, R code)

Downloads:

Package source:	lpmec_1.1.4.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
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

Linking:

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