Robust Linear Quantile Regression
Best Fit in Robust Linear Quantile Regression
Skew-t quantile regression for censored and missing data
Truncated Distributions
Moments of the Generalized Inverse Gaussian Distribution
Best Fit in Robust Logistic Linear Quantile Regression
Robust Logistic Linear Quantile Regression
Robust Linear Quantile Regression
Robust Linear Quantile Regression
Skew Family Distributions
It fits a robust linear quantile regression model using a new family of zero-quantile distributions for the error term. Missing values and censored observations can be handled as well. This family of distribution includes skewed versions of the Normal, Student's t, Laplace, Slash and Contaminated Normal distribution. It also performs logistic quantile regression for bounded responses as shown in Galarza et.al.(2020) <doi:10.1007/s13571-020-00231-0>. It provides estimates and full inference. It also provides envelopes plots for assessing the fit and confidences bands when several quantiles are provided simultaneously.