Computes observed choice indicators minus posterior mean occasion-level choice probabilities.
Usage
# S3 method for class 'RprobitB_fit'
residuals(object, ...)Arguments
- object
[
RprobitB_fit]
Fitted choice model.- ...
Further arguments passed to
predict().
Value
A numeric matrix with one row per choice occasion and one column per
alternative. Rows with a missing response contain NA. For ranked data, the
indicator represents the first-ranked alternative.
Examples
set.seed(1)
model <- fit(
choice ~ x | 0, dgp_parameters = list(beta = c(x = 1)), chains = 1
)
head(residuals(model))
#> A B
#> 1 -0.132366558 0.132366558
#> 2 -0.001426936 0.001426936
#> 3 0.060007647 -0.060007647
#> 4 0.637347133 -0.637347133
#> 5 -0.886678596 0.886678596
#> 6 0.064335453 -0.064335453