Last data update: 2014.03.03
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GPvam
Package: GPvam
Type: Package
Title: Maximum Likelihood Estimation of Multiple Membership Mixed
Models Used in Value-Added Modeling
Version: 3.0-3
Date: 2015-07-19
Author: Andrew Karl, Yan Yang, and Sharon Lohr
Maintainer: Andrew Karl <akarl@asu.edu>
Description: Maximum likelihood estimators are obtained via an EM algorithm.
Depends: R (>= 3.0.0), Matrix
Imports: numDeriv, Rcpp (>= 0.11.2), graphics, grDevices, methods,
stats, utils
LinkingTo: Rcpp, RcppArmadillo
ByteCompile: yes
NeedsCompilation: yes
LazyData: yes
License: GPL-2
Packaged: 2015-07-20 03:02:44 UTC; Andrew
Repository: CRAN
Date/Publication: 2015-07-20 09:59:53
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'GPvam' ...
** package 'GPvam' successfully unpacked and MD5 sums checked
** libs
g++ -I/home/ddbj/local/lib64/R/include -DNDEBUG -I/usr/local/include -I"/home/ddbj/local/lib64/R/library/Rcpp/include" -I"/home/ddbj/local/lib64/R/library/RcppArmadillo/include" -fpic -g -O2 -c R_mstep.cpp -o R_mstep.o
g++ -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o GPvam.so R_mstep.o -L/home/ddbj/local/lib64/R/lib -lRlapack -L/home/ddbj/local/lib64/R/lib -lRblas -lgfortran -lm -lquadmath -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/GPvam/libs
** R
** data
*** moving datasets to lazyload DB
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
converting help for package 'GPvam'
finding HTML links ... done
GP.csh html
GP.un html
GPvam-package html
GPvam html
GPvam.benchmark html
VP.CP.ZP.un html
plot html
print html
rGP.un html
summary html
vam_data html
** building package indices
** testing if installed package can be loaded
* DONE (GPvam)
Making 'packages.html' ... done
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