Robust Categorical Data Analysis
Neutral initialization of starting values for polychoric correlation
Plot method for classes "robpolycor" and "polycor".
Maximum likelihood estimation of polychoric correlation coefficient
Robust estimation of polychoric correlation
Maximum likelihood estimation of polychoric correlation matrix
Robust estimation of polychoric correlation matrix
Efficiency of minimum DPD estimators of polyserial model
Neutral initialization of starting values for polyserial correlation
Maximum likelihood estimation of polyserial correlation
Robust estimation of polyserial correlation
Print method for classes "robpolycor" and "polycor".
Print method for classes "robpolyserial" and "polyserial".
Obtain estimated asymptotic variance-covariance matrix
Obtain estimated asymptotic variance-covariance matrix
Robust categorical data analysis based on the theory of C-estimation developed in Welz (2024) <doi:10.48550/arXiv.2403.11954>. For now, the package only implements robust estimation of polychoric correlation as proposed in Welz, Mair and Alfons (2026) <doi:10.1017/psy.2025.10066> and robust estimation of polyserial correlation (Welz, 2026 <doi:10.1017/psy.2026.10091>) with methods for printing and plotting. We will implement further models in future releases. In addition, the package is still experimental, so input arguments and class structure may change in future releases.