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, 4 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, ismev
Depends on mgcv
See at CRAN