cv_individuals: K-fold cross-validation over individuals

In guess: Adjust Estimates of Learning for Guessing

K-fold cross-validation over individuals

Description

Splits individuals into k folds, fits on training, evaluates on held-out.

Usage

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

guess documentation built on Aug. 3, 2026, 9:07 a.m.