| draws-OncoBayes2 | R Documentation | 
blrmfit or blrm_trial to draws objectsTransform a blrmfit or blrm_trial object to a format supported by the
posterior package.
## S3 method for class 'blrmfit'
as_draws(x, variable = NULL, regex = FALSE, inc_warmup = FALSE, ...)
## S3 method for class 'blrmfit'
as_draws_matrix(x, variable = NULL, regex = FALSE, inc_warmup = FALSE, ...)
## S3 method for class 'blrmfit'
as_draws_array(x, variable = NULL, regex = FALSE, inc_warmup = FALSE, ...)
## S3 method for class 'blrmfit'
as_draws_df(x, variable = NULL, regex = FALSE, inc_warmup = FALSE, ...)
## S3 method for class 'blrmfit'
as_draws_list(x, variable = NULL, regex = FALSE, inc_warmup = FALSE, ...)
## S3 method for class 'blrmfit'
as_draws_rvars(x, variable = NULL, regex = FALSE, inc_warmup = FALSE, ...)
## S3 method for class 'blrm_trial'
as_draws(x, variable = NULL, regex = FALSE, inc_warmup = FALSE, ...)
## S3 method for class 'blrm_trial'
as_draws_matrix(x, variable = NULL, regex = FALSE, inc_warmup = FALSE, ...)
## S3 method for class 'blrm_trial'
as_draws_array(x, variable = NULL, regex = FALSE, inc_warmup = FALSE, ...)
## S3 method for class 'blrm_trial'
as_draws_df(x, variable = NULL, regex = FALSE, inc_warmup = FALSE, ...)
## S3 method for class 'blrm_trial'
as_draws_list(x, variable = NULL, regex = FALSE, inc_warmup = FALSE, ...)
## S3 method for class 'blrm_trial'
as_draws_rvars(x, variable = NULL, regex = FALSE, inc_warmup = FALSE, ...)
| x | A  | 
| variable | A character vector providing the variables to extract. By default, all variables are extracted. | 
| regex | Logical; Should variable be treated as a (vector of)
regular expressions? Any variable in  | 
| inc_warmup | Should warmup draws be included? Defaults to
 | 
| ... | Arguments passed to individual methods (if applicable). | 
To subset iterations, chains, or draws, use the
subset_draws method after
transforming the input object to a draws object.
The function is experimental as the set of exported posterior variables are subject to updates.
draws
subset_draws
## Setting up dummy sampling for fast execution of example
## Please use 4 chains and 100x more warmup & iter in practice
.user_mc_options <- options(
  OncoBayes2.MC.warmup = 10, OncoBayes2.MC.iter = 20, OncoBayes2.MC.chains = 1,
  OncoBayes2.MC.save_warmup = FALSE
)
# fit an example model. See documentation for "combo2" example
example_model("combo2")
post <- as_draws(blrmfit)
## Recover user set sampling defaults
options(.user_mc_options)
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