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.
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Giampiero Marra, 7 months ago
Browse source code at
Giampiero Marra <[email protected]> and Rosalba Radice <[email protected]>
GPL (>= 2)
Imports magic, matrixcalc, VGAM, survey, trust, VineCopula, graphics, stats, utils, grDevices, ggplot2, matrixStats, mnormt, gamlss.dist, Rmpfr, scam, survival, psych, copula, distrEx, numDeriv, trustOptim, evd
Depends on mgcv
See at CRAN