Longitudinal EHR Analysis with Informative Visits and Recording R package CIMEHR version 0.2.0 Longitudinal outcomes in electronic health records (EHR) are seen only when a patient visits and the outcome is recorded at that visit, and both processes can depend on the patient's latent health. The package fits the CIMEHR estimator for this setting, a three-stage procedure linked by a shared latent factor: a frailty partial likelihood for the visiting process, a pairwise likelihood for the recording (observation) process, and an estimating equation for the outcome. Spline and higher-order Laplace variants are included, together with comparison methods (summary statistics, linear mixed models, Lin-Ying, Liang, pairwise likelihood, joint models, inverse intensity rate ratio weighting and balancing, multiple imputation, linear increments and EHRJoint) behind one common interface. Methods are described in Yang, Shi, and Mukherjee (2026) <doi:10.48550/arXiv.2602.15374>. Software Depends: R (>= 4.1.0) Imports: nlme, parallel, Rcpp, splines, stats, tools, utils LinkingTo: Rcpp Suggests: ggplot2 (>= 3.4.0), knitr, mice, pan, rmarkdown Cheng-Han Yang <chenghanyang728@gmail.com> Comprehensive R Archive Network (CRAN) Cheng-Han Yang [aut, cre] (ORCID: <https://orcid.org/0000-0002-4161-3140>), Yiren Hou [aut] (ORCID: <https://orcid.org/0009-0005-0422-4268>) MIT + file LICENSE (https://CRAN.R-project.org/package=CIMEHR/LICENSE) 2026-10-22 application/tgz https://CRAN.R-project.org/package=CIMEHR doi:10.32614/CRAN.package.CIMEHR