Bayesian Mixture Log-Normal Survival Model R package lnmixsurv version 3.1.7 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>. Software Depends: parsnip (>= 1.1.0), R (>= 4.1.0), survival, ggplot2 Imports: stats, posterior, hardhat (>= 1.3.0), rlang, generics, dplyr, tidyr, tibble, Rcpp, RcppParallel, tidyselect, broom LinkingTo: Rcpp, RcppArmadillo, RcppGSL, RcppParallel Suggests: ggsurvfit, plotly, bayesplot, censored, readr, purrr, knitr, rmarkdown, tidymodels, testthat (>= 3.0.0), covr, withr, pec Viviana das Graças Ribeiro Lobo <viviana@dme.ufrj.br> Comprehensive R Archive Network (CRAN) Viviana das Graças Ribeiro Lobo [cre], Thaís Cristina Oliveira da Fonseca [aut], Mariane Branco Alves [aut], Vitor Capdeville [aut], Victor Hugo Soares Ney [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=lnmixsurv/LICENSE) 2026-06-08 application/tgz https://CRAN.R-project.org/package=lnmixsurv doi:10.32614/CRAN.package.lnmixsurv