Last data update: 2014.03.03

cSFM

Package: cSFM
Type: Package
Title: Covariate-adjusted Skewed Functional Model (cSFM)
Version: 1.1
Date: 2014-01-20
Author: Meng Li, Ana-Maria Staicu, and Howard D. Bondell
Maintainer: Meng Li <mli9@ncsu.edu>
Depends: R (>= 2.15.3), sn
Imports: mgcv, mnormt, MASS, moments, splines
LazyLoad: yes
Description: cSFM is a method to model skewed functional data when considering covariates via a copula-based approach.
License: GPL-2
Packaged: 2014-01-23 03:24:40 UTC; mli9
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-01-23 16:49:05

● 0 images, 17 functions, 0 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'cSFM' ...
** package 'cSFM' successfully unpacked and MD5 sums checked
** R
** data
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'cSFM'
    finding HTML links ... done
    D.SN                                    html  
    finding level-2 HTML links ... done

    DFT.basis                               html  
    HAC-package                             html  
    HAC.est                                 html  
    HAC.est.parallel                        html  
    Reparameterization                      html  
    SSN                                     html  
    case2.b.initial                         html  
    case2.unmll.optim                       html  
    cp2beta                                 html  
    data.generator.y.F                      html  
    data.simulation                         html  
    generic.HAC                             html  
    kpbb                                    html  
    legendre.polynomials                    html  
    predict.kpbb                            html  
    uni.fpca                                html  
** building package indices
** testing if installed package can be loaded
* DONE (cSFM)
Making 'packages.html' ... done