| L_step3 {LTCDM} | R Documentation | 
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.doi:10.3102/10769986231163320
[Package LTCDM version 1.0.0 Index]