Package: fipp 1.0.1

Jan Greve
fipp: Induced Priors in Bayesian Mixture Models
Computes implicitly induced quantities from prior/hyperparameter specifications of three Mixtures of Finite Mixtures models: Dirichlet Process Mixtures (DPMs; Escobar and West (1995) <doi:10.1080/01621459.1995.10476550>), Static Mixtures of Finite Mixtures (Static MFMs; Miller and Harrison (2018) <doi:10.1080/01621459.2016.1255636>), and Dynamic Mixtures of Finite Mixtures (Dynamic MFMs; Frühwirth-Schnatter, Malsiner-Walli and Grün (2021) <doi:10.1214/21-ba1294>). For methodological details, please refer to Greve, Grün, Malsiner-Walli and Frühwirth-Schnatter (2022) <doi:10.1111/anzs.12350>) as well as the package vignette.
Authors:
fipp_1.0.1.tar.gz
fipp_1.0.1.zip(r-4.7-x86_64)fipp_1.0.1.zip(r-4.7-arm64)fipp_1.0.1.zip(r-4.6-x86_64)fipp_1.0.1.zip(r-4.6-arm64)
fipp_1.0.1.tar.gz(r-4.7-arm64)fipp_1.0.1.tar.gz(r-4.7-x86_64)fipp_1.0.1.tar.gz(r-4.6-arm64)fipp_1.0.1.tar.gz(r-4.6-x86_64)
fipp_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fipp/json (API)
| # Install 'fipp' in R: |
| install.packages('fipp', 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:4315372618. Checks:10 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 120 | ||
| linux-devel-x86_64 | OK | 125 | ||
| source / vignettes | OK | 220 | ||
| linux-release-arm64 | OK | 138 | ||
| linux-release-x86_64 | OK | 139 | ||
| windows-devel-arm64 | OK | 206 | ||
| windows-devel-x86_64 | OK | 143 | ||
| windows-release-arm64 | OK | 186 | ||
| windows-release-x86_64 | OK | 82 | ||
| wasm-release | OK | 119 |
Dependencies:matrixStatsRcppRcppArmadillo
