Package: StempCens
Type: Package
Title: Spatio-Temporal Estimation and Prediction for Censored/Missing
        Responses
Version: 1.2.0
Authors@R: 
  c(person(given = "Larissa",
           family = "A. Matos",
           role = c("aut", "cre"),
           email = "larissa.amatos@gmail.com",
           comment = c(ORCID = "0000-0002-2635-0901")),
    person(given = "Katherine",
           family = "L. Valeriano",
           role = "aut",
           comment = c(ORCID = "0000-0001-6388-4753")),
    person(given = "Victor H.",
           family = "Lachos",
           role = "ctb",
           comment = c(ORCID = "0000-0002-7239-2459")))
Description: 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.
License: GPL (>= 2)
Imports: Rcpp, stats, utils, mvtnorm, tmvtnorm, MCMCglmm, ggplot2,
        grid, Rdpack
RdMacros: Rdpack
Encoding: UTF-8
RoxygenNote: 7.3.2
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat
NeedsCompilation: yes
Packaged: 2025-06-11 20:51:28 UTC; 55199
Author: 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>)
Maintainer: Larissa A. Matos <larissa.amatos@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-11 21:50:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-28 09:31:16 UTC; unix
Archs: StempCens.so.dSYM
