Posterior predictive intervals — predictive_interval.blrmfit • OncoBayes2

Posterior predictive intervals of the model.

Usage

# S3 method for class 'blrmfit'
predictive_interval(object, prob = 0.95, newdata, ...)

Arguments

object: fitted model object
prob: central probability mass to report, i.e. the quantiles 0.5-prob/2 and 0.5+prob/2 are displayed. Multiple central widths can be specified.
newdata: optional data frame specifying for what to predict; if missing, then the data of the input model object is used
...: not used in this function

Value

Matrix with as many rows as the input data set and two columns which contain the lower and upper quantile corresponding to the central probability mass prob for the number of responses of the predictive distribution.

Details

Reports for each row of the input data set the predictive interval according to the fitted model.

Examples

.user_mc_options <- options()

example_model("single_agent", silent = TRUE)

predictive_interval(blrmfit)
#>   2.5% 97.5%
#> 1    0     0
#> 2    0     1
#> 3    0     2
#> 4    0     2
#> 5    0     2

## Recover user set sampling defaults
options(.user_mc_options)