L_step3: Step 3 estimation for latent logistic regression coefficients

In LTCDM: Latent Transition Cognitive Diagnosis Model with Covariates

Step 3 estimation for latent logistic regression coefficients

Description

Function to estimate the latent logistic regression models at the initial state and transition

Usage

L_step3(par, z_t1, z_t2, weight, k)

Arguments

par	Coefficients of latent logistic regression to be estimated.
z_t1	covariates at Time 1, which has already had the intercept column (1s).
z_t2	covariates at Time 2, which has already had the intercept column (1s).
weight	Correction weight obtained from CEP.
k	The k-th attribute.

Value

log-likelihood value.

References

Liang, Q., de la Torre, J., & Law, N. (2023). Latent transition cognitive diagnosis model with covariates: A three-step approach. Journal of Educational and Behavioral Statistics.\Sexpr[results=rd]{tools:::Rd_expr_doi("10.3102/10769986231163320")}

LTCDM documentation built on June 22, 2024, 12:27 p.m.