Last data update: 2014.03.03
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mmppr
Package: mmppr
Version: 0.1
Date: 2016-01-06
Title: Markov Modulated Poisson Process for Unsupervised Event
Detection in Time Series of Counts
Author: Graham Mueller [aut, cre]
Maintainer: Peter Landwehr <peter.landwehr@giantoak.com>
Depends: R (>= 3.0.2), expm, reshape2, stats, methods
Description: Time-series of count data occur in many different contexts. A
Markov-modulated Poisson process provides a framework for detecting
anomalous events using an unsupervised learning approach.
License: GPL (>= 2)
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-01-11 09:44:41
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'mmppr' ...
** package 'mmppr' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'mmppr'
finding HTML links ... done
colon-equals html
dirichlet.log.pdf html
dirichlet.pdf html
draw.L.given.N0 html
draw.M.given.Z html
draw.Z.given.NLM html
logp html
mmppr html
prob.L.given.N0 html
prob.M.given.Z html
prob.N.given.LM html
prob.N.given.LZ html
repmat html
sensorMMPP html
** building package indices
** testing if installed package can be loaded
* DONE (mmppr)
Making 'packages.html' ... done
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