The $metadata()
method returns a list of information gathered
from the CSV output files, including the CmdStan configuration used when
fitting the model. See Examples and read_cmdstan_csv()
.
metadata()
#> List of 40 #> $ stan_version_major : num 2 #> $ stan_version_minor : num 29 #> $ stan_version_patch : num 1 #> $ start_datetime : chr "2022-03-18 18:25:53 UTC" #> $ method : chr "sample" #> $ save_warmup : num 0 #> $ thin : num 1 #> $ gamma : num 0.05 #> $ kappa : num 0.75 #> $ t0 : num 10 #> $ init_buffer : num 75 #> $ term_buffer : num 50 #> $ window : num 25 #> $ algorithm : chr "hmc" #> $ engine : chr "nuts" #> $ metric : chr "diag_e" #> $ stepsize_jitter : num 0 #> $ num_chains : num 1 #> $ id : num [1:4] 1 2 3 4 #> $ init : num [1:4] 2 2 2 2 #> $ seed : num 1.35e+09 #> $ refresh : num 100 #> $ sig_figs : num -1 #> $ profile_file : chr "/var/folders/s0/zfzm55px2nd2v__zlw5xfj2h0000gn/T/RtmpmzUYEz/logistic-profile-202203181225-1-94bdc7.csv" #> $ stanc_version : chr "stanc3 v2.29.1" #> $ sampler_diagnostics : chr [1:6] "accept_stat__" "stepsize__" "treedepth__" "n_leapfrog__" ... #> $ variables : chr [1:105] "lp__" "alpha" "beta[1]" "beta[2]" ... #> $ step_size_adaptation: num [1:4] 0.763 0.761 0.699 0.761 #> $ model_name : chr "logistic_model" #> $ adapt_engaged : num 1 #> $ adapt_delta : num 0.8 #> $ max_treedepth : num 10 #> $ step_size : num [1:4] 1 1 1 1 #> $ iter_warmup : num 1000 #> $ iter_sampling : num 1000 #> $ threads_per_chain : num 1 #> $ time :'data.frame': 4 obs. of 4 variables: #> ..$ chain_id: num [1:4] 1 2 3 4 #> ..$ warmup : num [1:4] 0.026 0.032 0.058 0.028 #> ..$ sampling: num [1:4] 0.094 0.104 0.173 0.098 #> ..$ total : num [1:4] 0.12 0.136 0.231 0.126 #> $ stan_variable_sizes :List of 4 #> ..$ lp__ : num 1 #> ..$ alpha : num 1 #> ..$ beta : num 3 #> ..$ log_lik: num 100 #> $ stan_variables : chr [1:4] "lp__" "alpha" "beta" "log_lik" #> $ model_params : chr [1:105] "lp__" "alpha" "beta[1]" "beta[2]" ...#> List of 30 #> $ stan_version_major : num 2 #> $ stan_version_minor : num 29 #> $ stan_version_patch : num 1 #> $ start_datetime : chr "2022-03-18 18:25:55 UTC" #> $ method : chr "optimize" #> $ algorithm : chr "lbfgs" #> $ init_alpha : num 0.001 #> $ tol_obj : num 1e-12 #> $ tol_rel_obj : num 10000 #> $ tol_grad : num 1e-08 #> $ tol_rel_grad : num 1e+07 #> $ tol_param : num 1e-08 #> $ history_size : num 5 #> $ iter : num 2000 #> $ save_iterations : num 0 #> $ id : num 1 #> $ init : num 2 #> $ seed : num 4.24e+08 #> $ refresh : num 100 #> $ sig_figs : num -1 #> $ profile_file : chr "/var/folders/s0/zfzm55px2nd2v__zlw5xfj2h0000gn/T/RtmpmzUYEz/logistic-profile-202203181225-1-85709d.csv" #> $ stanc_version : chr "stanc3 v2.29.1" #> $ sampler_diagnostics: chr(0) #> $ variables : chr [1:105] "lp__" "alpha" "beta[1]" "beta[2]" ... #> $ model_name : chr "logistic_model" #> $ threads : num 1 #> $ time :'data.frame': 0 obs. of 0 variables #> $ stan_variable_sizes:List of 4 #> ..$ lp__ : num 1 #> ..$ alpha : num 1 #> ..$ beta : num 3 #> ..$ log_lik: num 100 #> $ stan_variables : chr [1:4] "lp__" "alpha" "beta" "log_lik" #> $ model_params : chr [1:105] "lp__" "alpha" "beta[1]" "beta[2]" ...#> List of 29 #> $ stan_version_major : num 2 #> $ stan_version_minor : num 29 #> $ stan_version_patch : num 1 #> $ start_datetime : chr "2022-03-18 18:25:55 UTC" #> $ method : chr "variational" #> $ algorithm : chr "meanfield" #> $ iter : num 50 #> $ grad_samples : num 1 #> $ elbo_samples : num 100 #> $ eta : num 1 #> $ tol_rel_obj : num 0.01 #> $ eval_elbo : num 100 #> $ output_samples : num 1000 #> $ id : num 1 #> $ init : num 2 #> $ seed : num 5.22e+08 #> $ refresh : num 100 #> $ sig_figs : num -1 #> $ profile_file : chr "/var/folders/s0/zfzm55px2nd2v__zlw5xfj2h0000gn/T/RtmpmzUYEz/logistic-profile-202203181225-1-18f1e4.csv" #> $ stanc_version : chr "stanc3 v2.29.1" #> $ sampler_diagnostics: chr(0) #> $ variables : chr [1:106] "lp__" "lp_approx__" "alpha" "beta[1]" ... #> $ model_name : chr "logistic_model" #> $ adapt_engaged : num 1 #> $ threads : num 1 #> $ time :'data.frame': 0 obs. of 0 variables #> $ stan_variable_sizes:List of 5 #> ..$ lp__ : num 1 #> ..$ lp_approx__: num 1 #> ..$ alpha : num 1 #> ..$ beta : num 3 #> ..$ log_lik : num 100 #> $ stan_variables : chr [1:5] "lp__" "lp_approx__" "alpha" "beta" ... #> $ model_params : chr [1:106] "lp__" "lp_approx__" "alpha" "beta[1]" ...# }