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StempCens

Spatio-Temporal Estimation and Prediction for Censored/Missing Responses

v1.2.0 · Jun 11, 2025 · GPL (>= 2)

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.

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Check History

OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE May 13, 2026
WARNING 12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE May 9, 2026
WARNING r-devel-linux-x86_64-debian-clang

PDF version of manual

LaTeX errors when creating PDF version.
This typically indicates Rd problems.
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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 22, 2026
ERROR 13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Apr 18, 2026
ERROR r-devel-windows-x86_64

whether package can be installed

Installation failed.
See 'd:/Rcompile/CRANpkg/local/4.6/StempCens.Rcheck/00install.out' for details.
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Reverse Dependencies (1)

imports

Dependency Network

Dependencies Reverse dependencies Rcpp mvtnorm tmvtnorm MCMCglmm ggplot2 Rdpack RcppCensSpatial StempCens

Version History

4 tracked
new 1.2.0 Mar 10, 2026
updated 1.2.0 ← 1.1.0 diff Jun 10, 2025
updated 1.1.0 ← 0.1.0 diff Oct 20, 2020
new 0.1.0 Feb 7, 2019