Title: General Linear Ballistic Accumulator Models
Description: Analyses response times and accuracies from psychological experiments with the linear ballistic accumulator (LBA) model from Brown and Heathcote (2008). The LBA model is optionally fitted with explanatory variables on the parameters such as the drift rate, the boundary and the starting point parameters. A log-link function on the linear predictors can be used to ensure that parameters remain positive when needed.

Title: Latent Class Analysis with Grouped Data
Description: Fits latent class analysis (LCA) including group variable and covariates.
The group variable can be handled either by multilevel LCA described in Vermunt (2003) <DOI:10.1111/j.0081-1750.2003.t01-1-00131.x> or standard LCA at each level of group variable.
The covariates can be incorporated in the form of logistic regression (Bandeen-Roche et al. (1997) <DOI:10.1080/01621459.1997.10473658>).

Title: Latent Class Analysis with Group Variable
c(person("Youngsun", "Kim", email = "kim0sun@korea.ac.kr", role = c("aut", "cre")),
person("Hwan", "Chung", email = "hwanch@korea.ac.kr", role = c("aut")))

Title: An R Package for Estimating a Group-Effect in Latent Class

Title: Estimating a Group-Effect in Latent Class Analysis
Imports: MASS, Rcpp, graphics, grDevices

Title: An R Package for Multiple-Group Latent Class Analysis
Description: Fits multiple-group latent class analysis (LCA) for exploring differences between populations in the data with a multilevel structure. There are two approaches to reflect group differences in glca: fixed-effect LCA (Bandeen-Roche et al, 1997 <doi:10.1080/01621459.1997.10473658>; Clogg and Goodman, 1985 <doi:10.2307/270847>) and nonparametric random-effect LCA (Vermunt, 2003 <doi:10.1111/j.0081-1750.2003.t01-1-00131.x>).

Description: Fits multiple-group latent class analysis (LCA) for exploring
differences between populations in the data with a multilevel structure.
There are two approaches to reflect group differences in glca:
Clogg and Goodman (1985) <doi:10.2307/270847>) and nonparametric random-effect LCA