SemiParBIVProbit: Semiparametric Copula Regression Models

Routines for fitting several classes of copula regression models, with several types of covariate effects, in the presence of associated error equations, endogeneity, non-random sample selection or partial observability.

Version: 3.8
Depends: R (≥ 3.2.1), mgcv
Imports: magic, VGAM, survey, trust, VineCopula, graphics, stats, utils, grDevices, ggplot2, matrixStats, mnormt, gamlss.dist, Rmpfr
Enhances: sp
Published: 2016-08-19
Author: Giampiero Marra and Rosalba Radice
Maintainer: Giampiero Marra <giampiero.marra at ucl.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.ucl.ac.uk/statistics/people/giampieromarra
NeedsCompilation: no
Citation: SemiParBIVProbit citation info
Materials: ChangeLog
CRAN checks: SemiParBIVProbit results

Downloads:

Reference manual: SemiParBIVProbit.pdf
Package source: SemiParBIVProbit_3.8.tar.gz
Windows binaries: r-devel: SemiParBIVProbit_3.8.zip, r-release: SemiParBIVProbit_3.8.zip, r-oldrel: SemiParBIVProbit_3.8.zip
OS X Mavericks binaries: r-release: SemiParBIVProbit_3.8.tgz, r-oldrel: SemiParBIVProbit_3.8.tgz
Old sources: SemiParBIVProbit archive

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