nodk_cell_probs: Cell probabilities for the model without Don't Know

In guess: Adjust Estimates of Learning for Guessing

Cell probabilities for the model without Don't Know

Description

The multinomial cell probabilities implied by the latent class transition parameters. This is the single definition of the model; every likelihood, expected-count and goodness-of-fit routine calls it rather than restating the algebra.

Latent classes are named pre-state then post-state over guess (g) and know (k), so 'gk' is guess at the pretest and know at the posttest. Knowledge is assumed not to be lost over the process, so the know-to-guess class is identically zero and does not appear.

Usage

nodk_cell_probs(gg, gk, kk, g1)

Arguments

gg	proportion guess -> guess
gk	proportion guess -> know
kk	proportion know -> know
g1	probability a guess is correct (gamma)

Value

numeric vector of length 4, ordered x00, x01, x10, x11

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