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__ -65.9 -65.6 1.40 1.17 -68.7 -64.3 1.00 1893.
#> 2 alpha 0.380 0.380 0.218 0.216 0.0231 0.740 1.00 4801.
#> 3 beta[1] -0.668 -0.659 0.248 0.247 -1.09 -0.273 1.00 4573.
#> 4 beta[2] -0.271 -0.267 0.224 0.229 -0.634 0.0845 1.00 4645.
#> 5 beta[3] 0.678 0.666 0.266 0.259 0.248 1.12 1.00 4505.
#> 6 log_lik[1] -0.515 -0.508 0.0990 0.0965 -0.689 -0.362 1.00 4844.
#> 7 log_lik[2] -0.403 -0.384 0.147 0.139 -0.669 -0.199 1.00 4585.
#> 8 log_lik[3] -0.495 -0.459 0.218 0.202 -0.898 -0.206 1.00 4890.
#> 9 log_lik[4] -0.452 -0.433 0.153 0.150 -0.726 -0.239 1.00 4491.
#> 10 log_lik[5] -1.18 -1.16 0.278 0.275 -1.67 -0.765 1.00 5130.
#> # ℹ 95 more rows
#> # ℹ 1 more variable: ess_tail <dbl>
# }