StempCens: Spatio-Temporal Estimation and Prediction for Censored/MissingResponses
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 |
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