Last data update: 2014.03.03

KFAS

Package: KFAS
Version: 1.2.3
Date: 2016-06-22
Title: Kalman Filter and Smoother for Exponential Family State Space
Models
Author: Jouni Helske <jouni.helske@jyu.fi>
Maintainer: Jouni Helske <jouni.helske@jyu.fi>
Depends: R (>= 3.1.0)
Imports: stats
Suggests: MASS, testthat, knitr, lme4
Description: Functions for Kalman filtering, smoothing,
forecasting and simulation of multivariate exponential family state space
models with exact diffuse initialization and sequential processing.
License: GPL (>= 2)
BugReports: https://github.com/helske/KFAS/issues
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-06-22 15:21:18 UTC; OMISTAJA
Repository: CRAN
Date/Publication: 2016-06-23 01:05:57

● Cran Task View: TimeSeries
12 images, 26 functions, 4 datasets
Reverse Depends: 1

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'KFAS' ...
** package 'KFAS' successfully unpacked and MD5 sums checked
** libs
gfortran  -fpic -g -O2  -c  approx.f95 -o approx.o
gfortran  -fpic -g -O2  -c  approxloop.f95 -o approxloop.o
gfortran  -fpic -g -O2  -c  artransform.f95 -o artransform.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c cdistwrap.c -o cdistwrap.o
gfortran  -fpic -g -O2  -c  covmeanw.f95 -o covmeanw.o
gfortran  -fpic -g -O2  -c  filter1step.f95 -o filter1step.o
gfortran  -fpic -g -O2  -c  filter1stepnovar.f95 -o filter1stepnovar.o
gfortran  -fpic -g -O2  -c  filtersimfast.f95 -o filtersimfast.o
gfortran  -fpic -g -O2  -c  gloglik.f95 -o gloglik.o
gfortran  -fpic -g -O2  -c  gsmoothall.f95 -o gsmoothall.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c init.c -o init.o
gfortran  -fpic -g -O2  -c  isample.f95 -o isample.o
gfortran  -fpic -g -O2  -c  isamplefilter.f95 -o isamplefilter.o
gfortran  -fpic -g -O2  -c  kfilter.f95 -o kfilter.o
gfortran  -fpic -g -O2  -c  kfstheta.f95 -o kfstheta.o
gfortran  -fpic -g -O2  -c  ldl.f95 -o ldl.o
gfortran  -fpic -g -O2  -c  ldlssm.f95 -o ldlssm.o
gfortran  -fpic -g -O2  -c  marginalxx.f95 -o marginalxx.o
gfortran  -fpic -g -O2  -c  mvfilter.f95 -o mvfilter.o
gfortran  -fpic -g -O2  -c  ngfilter.f95 -o ngfilter.o
gfortran  -fpic -g -O2  -c  ngloglik.f95 -o ngloglik.o
gfortran  -fpic -g -O2  -c  ngsmooth.f95 -o ngsmooth.o
gfortran  -fpic -g -O2  -c  predict.f95 -o predict.o
gfortran  -fpic -g -O2  -c  ptheta.f95 -o ptheta.o
gfortran  -fpic -g -O2  -c  pytheta.f95 -o pytheta.o
gfortran  -fpic -g -O2  -c  simfilter.f95 -o simfilter.o
gfortran  -fpic -g -O2  -c  simgaussian.f95 -o simgaussian.o
gfortran  -fpic -g -O2  -c  simgaussianuncond.f95 -o simgaussianuncond.o
gfortran  -fpic -g -O2  -c  smoothonestep.f95 -o smoothonestep.o
gfortran  -fpic -g -O2  -c  smoothsim.f95 -o smoothsim.o
gfortran  -fpic -g -O2  -c  smoothsimfast.f95 -o smoothsimfast.o
gfortran -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o KFAS.so approx.o approxloop.o artransform.o cdistwrap.o covmeanw.o filter1step.o filter1stepnovar.o filtersimfast.o gloglik.o gsmoothall.o init.o isample.o isamplefilter.o kfilter.o kfstheta.o ldl.o ldlssm.o marginalxx.o mvfilter.o ngfilter.o ngloglik.o ngsmooth.o predict.o ptheta.o pytheta.o simfilter.o simgaussian.o simgaussianuncond.o smoothonestep.o smoothsim.o smoothsimfast.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/KFAS/libs
** R
** data
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'KFAS'
    finding HTML links ... done
    Extract.SSModel                         html  
    GlobalTemp                              html  
    KFAS-defunct                            html  
    KFAS                                    html  
    KFS                                     html  
    SSModel                                 html  
    alcohol                                 html  
    approxSSM                               html  
    artransform                             html  
    boat                                    html  
    checkModel                              html  
    coef.SSModel                            html  
    fitSSM                                  html  
    fitted.SSModel                          html  
    hatvalues.KFS                           html  
    importanceSSM                           html  
    ldl                                     html  
    logLik.SSModel                          html  
    mvInnovations                           html  
    plot.SSModel                            html  
    predict.SSModel                         html  
    print.KFS                               html  
    print.SSModel                           html  
    rename_states                           html  
    residuals.KFS                           html  
    rstandard.KFS                           html  
    sexratio                                html  
    signal                                  html  
    simulateSSM                             html  
    transformSSM                            html  
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (KFAS)
Making 'packages.html' ... done