Reparameterized Regression Models // Provides estimation and data generation tools for several new regression models, including the gamma, beta, inverse gamma, beta prime, log-normal and log- logistic distributions. These models can be parameterized based on the mean, median, mode, geometric mean and harmonic mean, except for the log-logistic model which is based on alternative parametrizations. For details, see Bourguignon and Gallardo (2025a) doi:10.1016/j.chemolab.2025.105382 and Bourguignon and Gallardo (2025b) doi:10.1111/stan.70007. The package also implements higher-order likelihood inference through Skovgaard- adjusted likelihood ratio statistics and predictive shrinkage estimators reparameterized beta regression models.