posterior_learned: Compute posterior probability of learning
In guess: Adjust Estimates of Learning for Guessing
View source: R/model-criticism.R
posterior_learned R Documentation
Compute posterior probability of learning
Description
Returns P(gk | data) for each individual, representing the probability
that the individual truly learned (vs. guessing or already knowing).
Usage
posterior_learned(object)
Arguments
object
output from person_item_lca_fit()
Value
numeric vector of P(learned | data) for each individual
Examples
sim <- simulate_lca(n = 100, gk = 0.30, seed = 123, return_classes = TRUE)
fit <- person_item_lca_fit(sim$pre, sim$post)
p_learned <- posterior_learned(fit)
cor(p_learned, sim$learned)
guess documentation built on Aug. 3, 2026, 9:07 a.m.
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View source: R/model-criticism.R
| posterior_learned | R Documentation |
Compute posterior probability of learning
Description
Returns P(gk | data) for each individual, representing the probability that the individual truly learned (vs. guessing or already knowing).
Usage
posterior_learned(object)
Arguments
object |
output from person_item_lca_fit() |
Value
numeric vector of P(learned | data) for each individual
Examples
sim <- simulate_lca(n = 100, gk = 0.30, seed = 123, return_classes = TRUE)
fit <- person_item_lca_fit(sim$pre, sim$post)
p_learned <- posterior_learned(fit)
cor(p_learned, sim$learned)
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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