Package: survstan 0.1.0
survstan: Fitting Survival Regression Models via 'Stan'
Parametric survival regression models under the maximum likelihood approach via 'Stan'. Implemented regression models include accelerated failure time (AFT) models, proportional hazards (PH) models, proportional odds (PO) models, accelerated hazard (AH) models, Yang and Prentice (YP) models, and extended hazard (EH) models. Available baseline survival distributions include exponential, Weibull, log-normal, log-logistic, gamma, generalized gamma, rayleigh, Gompertz and fatigue (Birnbaum-Saunders) distributions. The baseline survival distribution can be further modeled using Bernstein polynomails' approximation of the baseline hazard function. References: Lawless (2002) <ISBN:9780471372158>; Bennett (1982) <doi:10.1002/sim.4780020223>; Chen and Wang(2000) <doi:10.1080/01621459.2000.10474236>; Demarqui and Mayrink (2021) <doi:10.1214/20-BJPS471>.
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survstan_0.1.0.tar.gz
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survstan.pdf |survstan.html✨
survstan/json (API)
NEWS
# Install 'survstan' in R: |
install.packages('survstan', repos = c('https://fndemarqui.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fndemarqui/survstan/issues
Last updated 22 days agofrom:c1572ed0a9. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 27 2024 |
R-4.5-win-x86_64 | NOTE | Aug 27 2024 |
R-4.5-linux-x86_64 | NOTE | Aug 27 2024 |
R-4.4-win-x86_64 | NOTE | Aug 27 2024 |
R-4.4-mac-x86_64 | NOTE | Aug 27 2024 |
R-4.4-mac-aarch64 | NOTE | Aug 27 2024 |
R-4.3-win-x86_64 | NOTE | Aug 27 2024 |
R-4.3-mac-x86_64 | NOTE | Aug 27 2024 |
R-4.3-mac-aarch64 | NOTE | Aug 27 2024 |
Exports:aftregahregbernsteincross_timedggprenticedggstacydgompertzdpexpehregestimatesggresidualshpexpHpexppggprenticepggstacypgompertzphregpiecewiseporegppexpqggprenticeqggstacyqgompertzqpexprank_modelsrggprenticerggstacyrgompertzrpexpsetidytime_gridypreg
Dependencies:abindactuarbackportsBHbroomcallrcheckmateclicodetoolscolorspacecpp11descdigestdistributionaldoFuturedplyrexpintextraDistrfansifarverforeachfuturefuture.applygenericsggplot2globalsgluegridExtragtableinlineisobanditeratorslabelinglatticelifecyclelistenvloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivparallellypillarpkgbuildpkgconfigposteriorprocessxpspurrrQuickJSRR6rbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackrlangrstanrstantoolsscalesStanHeadersstringistringrsurvivaltensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr