## ----setup, include = FALSE--------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, message = FALSE, warning = FALSE, comment = "#>", eval = FALSE, include = TRUE ) ## ----eval = TRUE, include = TRUE---------------------------------------------- library(lnmixsurv) library(readr) library(bayesplot) color_scheme_set("viridis") set.seed(25) data <- simulate_data( n = 4000, mixture_components = 3, k = 2, percentage_censored = 0.2 )$data |> dplyr::rename(y = t, x = cat) ## ----eval = TRUE, include = TRUE---------------------------------------------- start_sequential <- Sys.time() mod_sequential <- survival_ln_mixture(Surv(y, delta) ~ x, data, iter = 50, chains = 2, starting_seed = 5, warmup = 0 ) end_sequential <- Sys.time() times_sequential <- tibble::tibble(start_sequential = start_sequential, end_sequential = end_sequential) ## ----eval = TRUE, include = TRUE---------------------------------------------- start_parallel <- Sys.time() mod_parallel <- survival_ln_mixture(Surv(y, delta) ~ x, data, iter = 50, chains = 2, cores = 2, starting_seed = 5, warmup = 0 ) end_parallel <- Sys.time() times_parallel <- tibble::tibble(start_parallel = start_parallel, end_parallel = end_parallel) ## ----eval = TRUE-------------------------------------------------------------- mcmc_trace(mod_sequential$posterior, pars = "eta_1") mcmc_trace(mod_parallel$posterior, pars = "eta_1") ## ----include=FALSE, eval = TRUE----------------------------------------------- start_parallel <- as.POSIXct(times_parallel$start_parallel) end_parallel <- as.POSIXct(times_parallel$end_parallel) start_sequential <- as.POSIXct(times_sequential$start_sequential) end_sequential <- as.POSIXct(times_sequential$end_sequential) ## ----echo=FALSE, eval = TRUE-------------------------------------------------- print("Sequential") print(end_sequential - start_sequential) print("-------------") print("Parallel") print(end_parallel - start_parallel)