Package: StempCens 1.2.0
Larissa A. Matos
StempCens: Spatio-Temporal Estimation and Prediction for Censored/Missing Responses
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.
Authors:
StempCens_1.2.0.tar.gz
StempCens_1.2.0.tar.gz(r-4.7-arm64)StempCens_1.2.0.tar.gz(r-4.7-x86_64)StempCens_1.2.0.tar.gz(r-4.6-arm64)StempCens_1.2.0.tar.gz(r-4.6-x86_64)
StempCens_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
StempCens/json (API)
NEWS
| # Install 'StempCens' in R: |
| install.packages('StempCens', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:965dc213f0. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 167 | ||
| linux-devel-x86_64 | OK | 166 | ||
| source / vignettes | OK | 209 | ||
| linux-release-arm64 | OK | 148 | ||
| linux-release-x86_64 | OK | 161 | ||
| wasm-release | OK | 120 |
Exports:CovarianceMCrossStempCensDiagStempCensEffectiveRangeEstStempCensPredStempCensrnStempCens
Dependencies:apeclicodacorpcorcpp11cubaturedigestfarverggplot2gluegmmgtableisobandlabelinglatticelifecycleMatrixMCMCglmmmvtnormnlmeR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangS7sandwichscalestensorAtmvtnormvctrsviridisLitewithrzoo
