Package: BayesPIM 2.0.1

Thomas Klausch
BayesPIM: Bayesian Prevalence-Incidence Mixture Model
Models time-to-event data from interval-censored screening studies. It accounts for latent prevalence at baseline and incorporates misclassification due to imperfect test sensitivity. For usage details, see the package vignette "BayesPIM_intro". Further details can be found in Klausch, Lissenberg-Witte and Coupé (2026) <doi:10.1002/sim.70433>.
Authors:
BayesPIM_2.0.1.tar.gz
BayesPIM_2.0.1.zip(r-4.7-x86_64)BayesPIM_2.0.1.zip(r-4.7-arm64)BayesPIM_2.0.1.zip(r-4.6-x86_64)BayesPIM_2.0.1.zip(r-4.6-arm64)BayesPIM_2.0.1.zip(r-4.5-x86_64)
BayesPIM_2.0.1.tgz(r-4.6-x86_64)BayesPIM_2.0.1.tgz(r-4.6-arm64)BayesPIM_2.0.1.tgz(r-4.5-x86_64)BayesPIM_2.0.1.tgz(r-4.5-arm64)
BayesPIM_2.0.1.tar.gz(r-4.7-arm64)BayesPIM_2.0.1.tar.gz(r-4.7-x86_64)BayesPIM_2.0.1.tar.gz(r-4.6-arm64)BayesPIM_2.0.1.tar.gz(r-4.6-x86_64)
BayesPIM_2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BayesPIM/json (API)
| # Install 'BayesPIM' in R: |
| install.packages('BayesPIM', repos = c('https://thomasklausch2.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/thomasklausch2/bayespim/issues
- mod - Converged example BayesPIM fit
Last updated from:301bcc8a78. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 211 | ||
| linux-devel-x86_64 | OK | 204 | ||
| source / vignettes | OK | 242 | ||
| linux-release-arm64 | OK | 162 | ||
| linux-release-x86_64 | OK | 232 | ||
| macos-release-arm64 | OK | 252 | ||
| macos-release-x86_64 | OK | 458 | ||
| macos-oldrel-arm64 | OK | 252 | ||
| macos-oldrel-x86_64 | OK | 539 | ||
| windows-devel-arm64 | OK | 445 | ||
| windows-devel-x86_64 | OK | 208 | ||
| windows-release-arm64 | OK | 436 | ||
| windows-release-x86_64 | OK | 164 | ||
| windows-oldrel-x86_64 | OK | 154 | ||
| wasm-release | OK | 138 |
Exports:bayespimgen_dataget_iclog_aft_priorppCIFsearch_prop_sdtrim_mcmc
Dependencies:abindactuarassertthatbackportsbbmlebdsmatrixcheckmateclicodacodetoolscpp11data.tabledeSolvedistributionaldoParalleldplyrexpintfarverfastGHQuadflexsurvforeachgenericsggplot2gluegtableisobanditeratorslabelinglatticelifecyclelsodamagrittrMASSMatrixmatrixStatsmgcvmstatemuhazmvtnormnlmenumDerivpillarpkgconfigposteriorpurrrquadprogR6RColorBrewerRcppRcppArmadillorlangrstpm2S7scalesstatmodstringistringrsurvivaltensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr
