id_post_pred,idealstan-method | R Documentation |
idealstan
objectsThis function will draw from the posterior distribution, whether in terms of the outcome (prediction) or to produce the log-likelihood values.
This function can also produce either distribution of the
outcomes (i.e., predictions) or the log-likelihood values of the posterior (set option
type
to 'log_lik'
.
For more information, see the package vignette How to Evaluate Models.
You can then use functions such as
id_plot_ppc
to see how well the model does returning the correct number of categories
in the score/vote matrix.
Also see help("posterior_predict", package = "rstanarm")
## S4 method for signature 'idealstan'
id_post_pred(
object,
draws = 100,
output = "observed",
type = "predict",
sample_scores = NULL,
...
)
object |
A fitted |
draws |
The number of draws to use from the total number of posterior draws (default is 100). |
output |
If the model has an unbounded outcome (Poisson, continuous, etc.), then
specify whether to show the |
type |
Whether to produce posterior predictive values ( |
sample_scores |
In addition to reducing the number of posterior draws used to calculate the posterior predictive distribution, which will reduce computational overhead. Only available for calculating predictive distributions, not log-likelihood values. |
... |
Any other arguments passed on to posterior_predict (currently none available) |
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