Compute posterior credible intervals — confint.RprobitB

Computes equal-tailed posterior intervals for selected model variables.

Usage

# S3 method for class 'RprobitB_fit'
confint(object, parm = NULL, level = 0.95, ...)

Arguments

object: [RprobitB_fit]
Fitted choice model.
parm: [character() | NULL]
Variables to include. NULL includes every population-level posterior variable that is not fixed by the normalization or the model structure. Individual coefficients can be selected by their individual[effect,decider] names.
level: [numeric(1)]
Probability of the equal-tailed credible intervals.
...: Currently not used.

Value

A numeric matrix with one row per selected variable and columns for the lower and upper credible limits.

Details

The returned intervals are credible intervals, not confidence intervals. They are reported through stats::confint() because it is the standard way to ask a fitted model for interval estimates.

Examples

set.seed(1)
model <- fit(
  choice ~ x | 0, dgp_parameters = list(beta = c(x = 1)), chains = 1
)
confint(model)
#>              2.5%    97.5%
#> beta[x] 0.9766132 1.900822