Package: lnmixsurv 3.1.6
lnmixsurv: Bayesian Mixture Log-Normal Survival Model
Bayesian Survival models via the mixture of Log-Normal distribution extends the well-known survival models and accommodates different behaviour over time and considers higher censored survival times. The proposal combines mixture distributions Fruhwirth-Schnatter(2006) <doi:10.1007/s11336-009-9121-4>, and data augmentation techniques Tanner and Wong (1987) <doi:10.1080/01621459.1987.10478458>.
Authors:
lnmixsurv_3.1.6.tar.gz
lnmixsurv_3.1.6.tar.gz(r-4.5-noble)lnmixsurv_3.1.6.tar.gz(r-4.4-noble)
lnmixsurv.pdf |lnmixsurv.html✨
lnmixsurv/json (API)
# Install 'lnmixsurv' in R: |
install.packages('lnmixsurv', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/vivianalobo/lnmixsurv/issues
Pkgdown:https://vivianalobo.github.io
- sim_data - Simulated lognormal mixture data.
Last updated 3 months agofrom:5cbec67915. Checks:OK: 1 NOTE: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 03 2024 |
R-4.5-linux-x86_64 | NOTE | Dec 03 2024 |
Exports:augmentjoin_empirical_hazardnobsplot_fit_on_datasimulate_datasurvival_ln_mixturesurvival_ln_mixture_emtidy
Dependencies:abindbackportsbitbit64broomcheckmateclicliprcodetoolscolorspacecpp11crayondistributionaldplyrfansifarvergenericsggplot2globalsgluegtablehardhathmsisobandlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivparsnippillarpkgconfigposteriorprettyunitsprogresspurrrR6RColorBrewerRcppRcppArmadilloRcppGSLRcppParallelreadrrlangscalesstringistringrsurvivaltensorAtibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithr
Comparison with other models
Rendered fromcompare.Rmd
usingknitr::rmarkdown
on Dec 03 2024.Last update: 2024-09-04
Started: 2024-09-04
Expectation Maximization
Rendered fromexpectation_maximization.Rmd
usingknitr::rmarkdown
on Dec 03 2024.Last update: 2024-09-04
Started: 2024-09-04
Get started
Rendered fromlnmixsurv.Rmd
usingknitr::rmarkdown
on Dec 03 2024.Last update: 2024-09-04
Started: 2024-09-04
Intercept only fits
Rendered fromintercept_only.Rmd
usingknitr::rmarkdown
on Dec 03 2024.Last update: 2024-09-04
Started: 2024-09-04
Parallel computation and posterior analysis
Rendered fromparallel_computation.Rmd
usingknitr::rmarkdown
on Dec 03 2024.Last update: 2024-09-04
Started: 2024-09-04