GJRM - Generalised Joint Regression Modelling
Routines for fitting various joint (and univariate) regression models, with several types of covariate effects, in the presence of equations' errors association, endogeneity, non-random sample selection or partial observability.
Last updated 4 months ago
4.28 score 4 stars 5 dependents 66 scripts 1.2k downloadsbgeva - Binary Generalized Extreme Value Additive Models
Routine for fitting regression models for binary rare events with linear and nonlinear covariate effects when using the quantile function of the Generalized Extreme Value random variable.
Last updated 8 years ago
1.00 score 5 scripts 261 downloads