# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "lpmec" in publications use:' type: software license: GPL-3.0-only title: 'lpmec: Measurement Error Analysis and Correction Under Identification Restrictions' version: 1.1.4 identifiers: - type: doi value: 10.32614/CRAN.package.lpmec abstract: 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) . authors: - family-names: Jerzak given-names: Connor email: connor.jerzak@gmail.com - family-names: Jessee given-names: Stephen email: sjessee@austin.utexas.edu preferred-citation: type: manual title: 'lpmec: Measurement Error Analysis and Correction Under Identification Restrictions' authors: - family-names: Jerzak given-names: Connor email: connor.jerzak@gmail.com - family-names: Jessee given-names: Stephen email: sjessee@austin.utexas.edu year: '2025' notes: R package version 1.1.4 url: https://github.com/cjerzak/lpmec-software repository: https://cjerzak.r-universe.dev repository-code: https://github.com/cjerzak/lpmec-software commit: 2df8cdfc84b553ec1078418a637d2000da2d278e url: https://github.com/cjerzak/lpmec-software date-released: '2026-06-06' contact: - family-names: Jerzak given-names: Connor email: connor.jerzak@gmail.com references: - type: generic title: Attenuation Bias with Latent Predictors authors: - family-names: Jerzak given-names: Connor T. - family-names: Jessee given-names: Stephen A. year: '2025' doi: 10.48550/arXiv.2507.22218 notes: arXiv:2507.22218 [stat.AP]