posterior_class_probs: Compute posterior class probabilities
In guess: Adjust Estimates of Learning for Guessing
View source: R/model-criticism.R
posterior_class_probs R Documentation
Compute posterior class probabilities
Description
Extracts P(class | response vector) for each individual from an explicitly
fitted person/item model.
Usage
posterior_class_probs(object)
Arguments
object
output from person_item_lca_fit()
Value
data.frame with columns P_gg, P_gk, P_kk (rows = individuals)
Examples
sim <- simulate_lca(n = 100, gk = 0.30, seed = 123, return_classes = TRUE)
fit <- person_item_lca_fit(sim$pre, sim$post)
posteriors <- posterior_class_probs(fit)
head(posteriors)
guess documentation built on Aug. 3, 2026, 9:07 a.m.
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View source: R/model-criticism.R
| posterior_class_probs | R Documentation |
Compute posterior class probabilities
Description
Extracts P(class | response vector) for each individual from an explicitly fitted person/item model.
Usage
posterior_class_probs(object)
Arguments
object |
output from person_item_lca_fit() |
Value
data.frame with columns P_gg, P_gk, P_kk (rows = individuals)
Examples
sim <- simulate_lca(n = 100, gk = 0.30, seed = 123, return_classes = TRUE)
fit <- person_item_lca_fit(sim$pre, sim$post)
posteriors <- posterior_class_probs(fit)
head(posteriors)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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