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>.
Version: 3.1.6 Depends: parsnip (≥ 1.1.0), R (≥ 4.1.0), survival, ggplot2 Imports: stats, posterior, hardhat (≥ 1.3.0), rlang, generics, dplyr, readr, purrr, tidyr, tibble, Rcpp, RcppParallel, tidyselect, broom LinkingTo: Rcpp, RcppArmadillo, RcppGSL, RcppParallel Suggests: ggsurvfit, plotly, bayesplot, censored, knitr, rmarkdown, tidymodels, testthat (≥ 3.0.0), covr, withr, pec Published: 2024-09-03 DOI: 10.32614/CRAN.package.lnmixsurv Author: Viviana das Graças Ribeiro Lobo [aut], ThaÃs Cristina Oliveira da Fonseca [aut], Mariane Branco Alves [aut], Vitor Capdeville [aut], Victor Hugo Soares Ney [cre] Maintainer: Victor Hugo Soares Ney <victor.s.ney at gmail.com> License: MIT + file LICENSE URL: https://vivianalobo.github.io/lnmixsurv/ NeedsCompilation: yes SystemRequirements: C++, GNU, GNU make, GSL Materials: README CRAN checks: lnmixsurv results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=lnmixsurv to link to this page.
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