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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 |
| 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) |
| 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 |
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