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Fits Gaussian linear mixed models with a random intercept when the response is subject to left, right, and/or interval censoring, using the Expectation/Conditional Maximization Either (ECME) algorithm of Liu and Rubin (1994) in the spirit of the fast censored-response mixed-model algorithm of Vaida and Liu (2009). Simultaneous estimation and variable selection is supported through coordinate-descent penalized maximization with Lasso, Adaptive Lasso, SCAD, MCP, Elastic Net, and Ridge penalties (no penalty is also supported). The random intercept is integrated out by Gauss-Hermite quadrature at every iteration, and the two ECME conditional-maximization steps respectively maximize the expected penalized complete-data objective (for the regression coefficients) and the actual observed-data marginal likelihood (for the variance components), which is the defining feature of ECME relative to plain ECM/EM. The package provides a single-fit engine, a sequential/parallel penalty-parameter grid search with information-criterion or cross-validated selection, data-dependent or user-supplied lambda grids, and an Expectation-Maximization based treatment of a completely missing (at random) response, sharing the same truncated-normal machinery used for censoring. References: Liu and Rubin (1994) "The ECME algorithm: A simple extension of EM and ECM with faster monotone convergence" <doi:10.1093/biomet/81.4.633>; Vaida and Liu (2009) "Fast Implementation for Normal Mixed Effects Models With Censored Response" <doi:10.1198/jcgs.2009.07130>.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | stats, graphics, parallel, lme4, withr |
| Suggests: | testthat (≥ 3.0.0), waldo, mice |
| Published: | 2026-10-07 |
| DOI: | 10.32614/CRAN.package.pecme |
| Author: | Ali Asghar Haeri-Mehrizi [aut, cre], Arshia Haeri-Mehrizi [aut], Adel Mohammadpour [rev] |
| Maintainer: | Ali Asghar Haeri-Mehrizi <haeri.stat at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | pecme results |
| Reference manual: | pecme.html , pecme.pdf |
| Package source: | pecme_0.1.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: pecme_0.1.1.zip |
| macOS binaries: | r-release (arm64): pecme_0.1.1.tgz, r-oldrel (arm64): pecme_0.1.1.tgz, r-release (x86_64): pecme_0.1.1.tgz, r-oldrel (x86_64): pecme_0.1.1.tgz |
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