Splits individuals into k folds, fits on training, evaluates on held-out.
cv_individuals(
pre_test,
pst_test,
k = 5L,
priors = NULL,
seed = NULL,
na_as = c("dk", "missing"),
missing_action = c("omit", "error")
)
Arguments
- pre_test
data.frame of pre-test responses
- pst_test
data.frame of post-test responses
- k
integer number of folds
- priors
optional numeric vector of starting parameters
- seed
optional integer random seed
- na_as
classification of NA responses
- missing_action
structural missingness handling
Value
list with fold_results, mean_ll, total_ll, perplexity, se