Package: lpmec
Title: Measurement Error Analysis and Correction Under Identification
        Restrictions
Version: 1.1.4
Author: Connor Jerzak [aut, cre], Stephen Jessee [aut]
Authors@R: c(
    person("Connor", "Jerzak", email = "connor.jerzak@gmail.com", role = c("aut", "cre")),
    person("Stephen", "Jessee", email = "sjessee@austin.utexas.edu", role = c("aut"))
  )
Description: 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>.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: false
Maintainer: Connor Jerzak <connor.jerzak@gmail.com>
Imports: reticulate, stats, sensemakr, pscl, AER, sandwich, mvtnorm,
        Amelia, emIRT, gtools
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
SystemRequirements: Python (>= 3.10) with jax, numpy, numpyro
        (optional; for NumPyro backend via reticulate)
VignetteBuilder: knitr
Config/testthat/edition: 3
URL: https://github.com/cjerzak/lpmec-software
BugReports: https://github.com/cjerzak/lpmec-software/issues
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: cmake make libicu-dev libpng-dev python3
Repository: https://cjerzak.r-universe.dev
Date/Publication: 2026-06-12 12:07:40 UTC
RemoteUrl: https://github.com/cjerzak/lpmec-software
RemoteRef: HEAD
RemoteSha: f99afbfd9779f8163c23fd4c89c097c7922fb2d8
RemoteSubdir: lpmec
NeedsCompilation: no
Packaged: 2026-06-12 14:50:34 UTC; root