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>.

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], Thaís 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:

Reference manual:	lnmixsurv.pdf
Vignettes:	Comparison with other models (source, R code) Expectation Maximization (source, R code) Intercept only fits (source, R code) Get started (source, R code) Parallel computation (source, R code)

Downloads:

Package source:	lnmixsurv_3.1.6.tar.gz
Windows binaries:	r-devel: lnmixsurv_3.1.6.zip, r-release: lnmixsurv_3.1.6.zip, r-oldrel: lnmixsurv_3.1.6.zip
macOS binaries:	r-release (arm64): lnmixsurv_3.1.6.tgz, r-oldrel (arm64): lnmixsurv_3.1.6.tgz, r-release (x86_64): lnmixsurv_3.1.6.tgz, r-oldrel (x86_64): lnmixsurv_3.1.6.tgz

Linking:

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