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robcat (version 0.2)

Robust Categorical Data Analysis

Description

Robust categorical data analysis based on the theory of C-estimation developed in Welz (2024) . For now, the package only implements robust estimation of polychoric correlation as proposed in Welz, Mair and Alfons (2026) and robust estimation of polyserial correlation (Welz, 2026 ) 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.

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Version

Install

install.packages('robcat')

Monthly Downloads

131

Version

0.2

License

GPL (>= 2)

Maintainer

Max Welz

Last Published

February 10th, 2026

Functions in robcat (0.2)

initialize_param

Neutral initialization of starting values for polychoric correlation
polyserial_mle

Maximum likelihood estimation of polyserial correlation
plot.robpolycor

Plot method for classes "robpolycor" and "polycor".
polycor

Robust estimation of polychoric correlation
polycormat

Robust estimation of polychoric correlation matrix
polyserial

Robust estimation of polyserial correlation
print.robpolyserial

Print method for classes "robpolyserial" and "polyserial".
print.robpolycor

Print method for classes "robpolycor" and "polycor".
polyserial_efficiency

Efficiency of minimum DPD estimators of polyserial model
polycormat_mle

Maximum likelihood estimation of polychoric correlation matrix
polycor_mle

Maximum likelihood estimation of polychoric correlation coefficient
polyserial_initialize_param

Neutral initialization of starting values for polyserial correlation
vcov.robpolycor

Obtain estimated asymptotic variance-covariance matrix
vcov.robpolyserial

Obtain estimated asymptotic variance-covariance matrix