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.
Version: 1.2.0 Imports: Rcpp, stats, utils, mvtnorm, tmvtnorm, MCMCglmm, ggplot2, grid, Rdpack LinkingTo: Rcpp, RcppArmadillo Suggests: testthat Published: 2025-06-11 DOI: 10.32614/CRAN.package.StempCens Author: Larissa A. Matos [aut, cre], Katherine L. Valeriano [aut], Victor H. Lachos [ctb] Maintainer: Larissa A. Matos <larissa.amatos at gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes Citation: StempCens citation info Materials: README NEWS In views: MissingData CRAN checks: StempCens results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=StempCens to link to this page.
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