plgp

Package: plgp
Type: Package
Title: Particle Learning of Gaussian Processes
Version: 1.1-7
Date: 2014-11-27
Author: Robert B. Gramacy <rbgramacy@chicagobooth.edu>
Maintainer: Robert B. Gramacy <rbgramacy@chicagobooth.edu>
Description: Sequential Monte Carlo inference for fully Bayesian
Gaussian process (GP) regression and classification models by
particle learning (PL). The sequential nature of inference
and the active learning (AL) hooks provided facilitate thrifty
sequential design (by entropy) and optimization
(by improvement) for classification and
regression models, respectively.
This package essentially provides a generic
PL interface, and functions (arguments to the interface) which
implement the GP models and AL heuristics. Functions for
a special, linked, regression/classification GP model and
an integrated expected conditional improvement (IECI) statistic
is provides for optimization in the presence of unknown constraints.
Separable and isotropic Gaussian, and single-index correlation
functions are supported.
See the examples section of ?plgp and demo(package="plgp")
for an index of demos
Depends: R (>= 2.4), mvtnorm, tgp
Suggests: ellipse, splancs, akima
License: LGPL
URL: http://faculty.chicagobooth.edu/robert.gramacy/plgp.html
Packaged: 2014-11-28 12:19:42 UTC; bobby
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-12-02 00:14:32

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'plgp' ...
** package 'plgp' successfully unpacked and MD5 sums checked
** libs
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include   -DNDEBUG -DRPRINT  -fpic  -g -O2  -c covar.c -o covar.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include   -DNDEBUG -DRPRINT  -fpic  -g -O2  -c entropy.c -o entropy.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include   -DNDEBUG -DRPRINT  -fpic  -g -O2  -c ieci.c -o ieci.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include   -DNDEBUG -DRPRINT  -fpic  -g -O2  -c linalg.c -o linalg.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include   -DNDEBUG -DRPRINT  -fpic  -g -O2  -c matrix.c -o matrix.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include   -DNDEBUG -DRPRINT  -fpic  -g -O2  -c rhelp.c -o rhelp.o
gcc -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o plgp.so covar.o entropy.o ieci.o linalg.o matrix.o rhelp.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/plgp/libs
** R
** demo
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'plgp'
    finding HTML links ... done
    PL                                      html  
    addpall.GP                              html  
    data.GP                                 html  
    draw.GP                                 html  
    exp2d.C                                 html  
    init.GP                                 html  
    lpredprob.GP                            html  
    papply                                  html  
    params.GP                               html  
    plgp-internal                           html  
    plgp-package                            html  
    pred.GP                                 html  
    prior.GP                                html  
    propagate.GP                            html  
    rectscale                               html  
** building package indices
** testing if installed package can be loaded
* DONE (plgp)
Making 'packages.html' ... done