Spatio-Temporal Estimation and Prediction for Censored/Missing Responses R package StempCens version 1.2.0 CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) It estimates the parameters of spatio-temporal models with censored or missing data using the SAEM algorithm (Delyon et al., 1999). This algorithm is a stochastic approximation of the widely used EM algorithm and is particularly valuable for models in which the E-step lacks a closed-form expression. It also provides a function to compute the observed information matrix using the method developed by Louis (1982). To assess the performance of the fitted model, case-deletion diagnostics are provided. Software Imports: Rcpp, stats, utils, mvtnorm, tmvtnorm, MCMCglmm, ggplot2, grid, Rdpack LinkingTo: Rcpp, RcppArmadillo Suggests: testthat Larissa A. Matos <larissa.amatos@gmail.com> Comprehensive R Archive Network (CRAN) Larissa A. Matos [aut, cre] (ORCID: <https://orcid.org/0000-0002-2635-0901>), Katherine L. Valeriano [aut] (ORCID: <https://orcid.org/0000-0001-6388-4753>), Victor H. Lachos [ctb] (ORCID: <https://orcid.org/0000-0002-7239-2459>) GPL (>= 2) 2025-06-11 application/tgz https://CRAN.R-project.org/package=StempCens doi:10.32614/CRAN.package.StempCens