Last data update: 2014.03.03

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

● 0 images, 14 functions, 0 datasets
● Reverse Depends: 0

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