cSFM: Covariate-adjusted Skewed Functional Model (cSFM)

cSFM is a method to model skewed functional data when considering covariates via a copula-based approach.

Version: 1.1
Depends: R (≥ 2.15.3), sn
Imports: mgcv, mnormt, MASS, moments, splines
Published: 2014-01-23
Author: Meng Li, Ana-Maria Staicu, and Howard D. Bondell
Maintainer: Meng Li <mli9 at ncsu.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: cSFM results


Reference manual: cSFM.pdf
Package source: cSFM_1.1.tar.gz
Windows binaries: r-devel: cSFM_1.1.zip, r-release: cSFM_1.1.zip, r-oldrel: cSFM_1.1.zip
OS X El Capitan binaries: r-release: cSFM_1.1.tgz
OS X Mavericks binaries: r-oldrel: cSFM_1.1.tgz
Old sources: cSFM archive


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