Last data update: 2014.03.03
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mhsmm
Package: mhsmm
Type: Package
Title: Inference for Hidden Markov and Semi-Markov Models
Version: 0.4.14
Date: 2014-01-08
Author: Jared O'Connell <jaredoconnell@gmail.com>, Søren Højsgaard
<sorenh@math.aau.dk>
Maintainer: Jared O'Connell <jaredoconnell@gmail.com>
Description: Parameter estimation and prediction for hidden Markov and semi-Markov models for data with multiple observation sequences. Suitable for equidistant time series data, with multivariate and/or missing data. Allows user defined emission distributions.
License: GPL (>= 2)
LazyLoad: yes
Depends: mvtnorm
Repository: CRAN
Encoding: latin1
NeedsCompilation: yes
Packaged: 2014-12-22 00:22:48 UTC; jared
Date/Publication: 2014-12-22 10:37:39
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'mhsmm' ...
** package 'mhsmm' successfully unpacked and MD5 sums checked
** libs
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I/usr/local/include -fpic -g -O2 -c hsmm.c -o hsmm.o
gcc -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o mhsmm.so hsmm.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/mhsmm/libs
** R
** data
** inst
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'mhsmm'
finding HTML links ... done
addStates html
dmvnorm.hsmm html
dnorm.hsmm html
dpois.hsmm html
gammafit html
hmmfit html
hmmspec html
hsmmfit html
hsmmspec html
mstep.mvnorm html
mstep.norm html
mstep.pois html
plot.hsmm html
plot.hsmm.data html
predict.hmm html
predict.hmmspec html
predict.hsmm html
predict.hsmmspec html
print.hmm html
print.hmmspec html
print.hsmmspec html
reproai html
reprocows html
reproppa html
rmvnorm.hsmm html
rnorm.hsmm html
rpois.hsmm html
sim.mc html
simulate.hmmspec html
simulate.hsmmspec html
smooth.discrete html
summary.hmm html
summary.hsmm html
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (mhsmm)
Making 'packages.html' ... done
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