KERE

Package: KERE
Title: Expectile Regression in Reproducing Kernel Hilbert Space
Version: 1.0.0
Date: 2015-8-26
Author: Yi Yang, Teng Zhang, Hui Zou
Maintainer: Yi Yang <yiyang@umn.edu>
Depends: methods
Description: An efficient algorithm inspired by majorization-minimization principle for solving the entire solution path of a flexible nonparametric expectile regression estimator constructed in a reproducing kernel Hilbert space.
License: GPL-2
Packaged: 2015-08-27 13:38:41 UTC; emeryyi
Repository: CRAN
Date/Publication: 2015-08-28 00:35:09
NeedsCompilation: yes

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'KERE' ...
** package 'KERE' successfully unpacked and MD5 sums checked
** libs
gfortran  -fpic -g -O2  -c  expkern_fast.f90 -o expkern_fast.o
gfortran  -fpic -g -O2  -c  expkern_precision.f90 -o expkern_precision.o
gfortran -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o KERE.so expkern_fast.o expkern_precision.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/KERE/libs
** R
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'KERE'
    finding HTML links ... done
    KERE                                    html  
    as.kernelMatrix                         html  
    cv.KERE                                 html  
    dots                                    html  
    kernel-class                            html  
    kernelMatrix                            html  
    plot.KERE                               html  
    predict.KERE                            html  
** building package indices
** testing if installed package can be loaded
* DONE (KERE)
Making 'packages.html' ... done