This method is a wrapper around base::saveRDS() that ensures
that all posterior draws and diagnostics are saved when saving a fitted
model object. Because the contents of the CmdStan output CSV files are only
read into R lazily (i.e., as needed), the $save_object() method is the
safest way to guarantee that everything has been read in before saving.
save_object(file, ...)(string) Path where the file should be saved.
Other arguments to pass to base::saveRDS() besides object and file.
# \dontrun{
fit <- cmdstanr_example("logistic")
temp_rds_file <- tempfile(fileext = ".RDS")
fit$save_object(file = temp_rds_file)
rm(fit)
fit <- readRDS(temp_rds_file)
fit$summary()
#> # A tibble: 105 × 10
#> variable mean median sd mad q5 q95 rhat ess_bulk
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 lp__ -66.0 -65.7 1.42 1.27 -68.7 -64.3 1.00 2381.
#> 2 alpha 0.379 0.377 0.223 0.224 0.0200 0.754 1.00 4356.
#> 3 beta[1] -0.663 -0.664 0.252 0.252 -1.08 -0.250 1.00 4356.
#> 4 beta[2] -0.270 -0.263 0.223 0.215 -0.645 0.0924 1.00 4293.
#> 5 beta[3] 0.686 0.676 0.269 0.263 0.261 1.15 1.00 4246.
#> 6 log_lik[1] -0.516 -0.511 0.101 0.101 -0.692 -0.364 1.00 4361.
#> 7 log_lik[2] -0.401 -0.381 0.149 0.144 -0.676 -0.193 1.00 4797.
#> 8 log_lik[3] -0.494 -0.460 0.214 0.203 -0.897 -0.207 1.00 4344.
#> 9 log_lik[4] -0.450 -0.431 0.154 0.150 -0.725 -0.233 1.00 4169.
#> 10 log_lik[5] -1.19 -1.17 0.280 0.279 -1.67 -0.767 1.00 4463.
#> # ℹ 95 more rows
#> # ℹ 1 more variable: ess_tail <dbl>
# }