Package: msmbayes 0.2
msmbayes: Bayesian Multi-State Models for Intermittently-Observed Data
Bayesian multi-state models for intermittently-observed data. Markov and phase-type semi-Markov models, and misclassification hidden Markov models.
Authors:
msmbayes_0.2.tar.gz
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msmbayes_0.2.tgz(r-4.4-x86_64)msmbayes_0.2.tgz(r-4.4-arm64)msmbayes_0.2.tgz(r-4.3-x86_64)msmbayes_0.2.tgz(r-4.3-arm64)
msmbayes_0.2.tar.gz(r-4.5-noble)msmbayes_0.2.tar.gz(r-4.4-noble)
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msmbayes.pdf |msmbayes.html✨
msmbayes/json (API)
NEWS
# Install 'msmbayes' in R: |
install.packages('msmbayes', repos = c('https://chjackson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/chjackson/msmbayes/issues
- bigdat - A simulated multistate dataset with lots of observations and covariates
- cav_misc - Example fitted model objects used for testing msmbayes
- infsim - Simulated infection testing data
- infsim2 - Simulated infection testing data
- infsim_model - Example fitted model objects used for testing msmbayes
- infsim_modelc - Example fitted model objects used for testing msmbayes
- infsim_modelp - Example fitted model objects used for testing msmbayes
- infsim_modelpc - Example fitted model objects used for testing msmbayes
Last updated 4 days agofrom:0537c44f28. Checks:OK: 1 ERROR: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 18 2024 |
R-4.5-win-x86_64 | ERROR | Nov 18 2024 |
R-4.5-linux-x86_64 | ERROR | Nov 18 2024 |
R-4.4-win-x86_64 | ERROR | Nov 18 2024 |
R-4.4-mac-x86_64 | ERROR | Nov 18 2024 |
R-4.4-mac-aarch64 | ERROR | Nov 18 2024 |
R-4.3-win-x86_64 | ERROR | Nov 18 2024 |
R-4.3-mac-x86_64 | ERROR | Nov 18 2024 |
R-4.3-mac-aarch64 | ERROR | Nov 18 2024 |
Exports:dnphaseedfhnphasehrloghrmean_sojournmsmbayesmsmhistmsmhist_bardatamsmpriorpmatrixpmatrixdfpnphaseqdfqmatrixrnphasesoj_probstandardise_tostandardize_tototlos
Dependencies:abindarrayhelpersbackportscallrcheckmateclicmdstanrcodacolorspacecpp11data.tabledistributionaldplyrexpmfansifarverfsgenericsggdistggplot2gluegtablehardhatinstantiateisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgconfigposteriorprocessxpspurrrquadprogR6RColorBrewerRcpprlangscalesstringistringrsvUnittensorAtibbletidybayestidyrtidyselectutf8vctrsviridisLitewithr