Thu, 18 Sep 2014

Package RidgeFusion updated to version 1.0-3 with previous version 1.0-2 dated 2013-10-11

Title: R Package for Ridge Fusion in Statistical Learning
Description: This package implements ridge fusion methodology for inverse covariance matrix estimation for use in quadratic discriminant analysis. The package also contains function for model based clustering using ridge fusion for inverse matrix estimation, as well as tuning parameter selection functions. We have also implemented QDA using joint inverse covariance estimation.
Author: Bradley S. Price
Maintainer: Bradley S. Price

Diff between RidgeFusion versions 1.0-2 dated 2013-10-11 and 1.0-3 dated 2014-09-18

 DESCRIPTION         |   14 +++++++-------
 LICENSE             |    2 +-
 MD5                 |   10 +++++-----
 NAMESPACE           |    2 ++
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 6 files changed, 33 insertions(+), 24 deletions(-)

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New package spatialnbda with initial version 1.0
Package: spatialnbda
Type: Package
Title: Performs spatial NBDA in a Bayesian context
Version: 1.0
Date: 2014-09-16
Author: Glenna Nightingale
Maintainer: Glenna Nightingale
Description: Network based diffusion analysis (NBDA) allows inference on the asocial and social transmission of information. This may involve the social transmission of a particular behaviour such as tool use, for example. For the NBDA, the key parameters estimated are the social effect and baseline rate parameters. The baseline rate parameter gives the rate at which the behaviour is first performed (or acquired) asocially amongst the individuals in a given population. The social effect parameter quantifies the effect of the social associations amongst the individuals on the rate at which each individual first performs or displays the behaviour. Spatial NBDA involves incorporating spatial information in the analysis. This is done by incorporating social networks derived from spatial point patterns (of the home bases of the individuals under study). In addition, a spatial covariate such as vegetation cover, or slope may be included in the modelling process.
LazyData: true
Depends: SocialNetworks(>= 1.1), mvtnorm(>= 0.9)
License: GPL
Packaged: 2014-09-18 12:10:05 UTC; Glenna
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-19 00:49:05

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Package SmoothHazard updated to version 1.2.3 with previous version 1.2.0 dated 2014-09-18

Title: Fitting illness-death model for interval-censored data
Description: SmoothHazard is a package for fitting illness-death (and survival) model with possibly interval-censored data for transition toward transient state. Left-truncated and right-censored data are also allowed. Proportional intensities regression models allow for covariates on each of the 3 transitions. We use either a parametric approach with Weibull baseline intensities or a semi-parametric approach with M-splines approximation of baseline intensities in order to obtain smooth estimates. Estimation of parameters is conducted by likelihood maximization in the parametric approach or penalized likelihood maximization in the semi-parametric approach.
Author: Celia Touraine, Pierre Joly, Thomas A. Gerds
Maintainer: Thomas Alexander Gerds

Diff between SmoothHazard versions 1.2.0 dated 2014-09-18 and 1.2.3 dated 2014-09-18

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Package RVAideMemoire updated to version 0.9-39 with previous version 0.9-38 dated 2014-08-12

Title: Diverse basic statistical and graphical functions
Description: This package contains diverse more or less complicated functions, written to simplify user's life: simplifications of existing functions, basic but not implemented tests, easy-to-use tools, bridges between functions of different packages... All functions are presented in the French book 'Aide-memoire de statistique appliquee a la biologie', written by the same author and available on CRAN.
Author: Maxime Hervé
Maintainer: Maxime Hervé

Diff between RVAideMemoire versions 0.9-38 dated 2014-08-12 and 0.9-39 dated 2014-09-18

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Package rms updated to version 4.2-1 with previous version 4.2-0 dated 2014-04-13

Title: Regression Modeling Strategies
Description: Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. rms is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. rms works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.
Author: Frank E Harrell Jr
Maintainer: Frank E Harrell Jr

Diff between rms versions 4.2-0 dated 2014-04-13 and 4.2-1 dated 2014-09-18

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More information about rms at CRAN
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New package RMOA with initial version 1.0
Package: RMOA
Version: 1.0
Title: Connect R with MOA for Massive Online Analysis
Authors@R: c(person("Jan", "Wijffels", role = c("aut", "cre"), email = "jwijffels@bnosac.be"), person("BNOSAC", role = "cph"))
Description: Connect R with MOA (Massive Online Analysis - http://moa.cms.waikato.ac.nz) to build classification models and regression models on streaming data or out-of-RAM data
Depends: RMOAjars (>= 1.0), rJava (>= 0.6-3), methods
Suggests: ff
SystemRequirements: Java (>= 5.0)
License: GPL-3
Copyright: Code is Copyright (C) Jan Wijffels and BNOSAC
Maintainer: Jan Wijffels
URL: http://www.bnosac.be, https://github.com/jwijffels/RMOA, http://moa.cms.waikato.ac.nz/
Packaged: 2014-09-18 09:57:52 UTC; janw
Author: Jan Wijffels [aut, cre], BNOSAC [cph]
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-19 00:54:31

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New package nlWaldTest with initial version 1.0.1
Package: nlWaldTest
Type: Package
Title: Wald Test of nonlinear restrictions for regression parameters
Version: 1.0.1
Date: 2014-09-18
Depends: R (>= 3.0.2)
Imports: stringr, numDeriv
LazyData: yes
Author: Oleh Komashko
Maintainer: Oleh Komashko
Description: Nonlinear restrictions Wald Test for regression parameters using delta-method
License: GPL (>= 2)
Packaged: 2014-09-18 18:33:51 UTC; oleg
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-19 00:52:12

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New package LogicForest with initial version 2.1.0
Package: LogicForest
Type: Package
Title: Logic Forest
Version: 2.1.0
Date: 2014-09-18
Author: Bethany Wolf
Maintainer: Bethany Wolf
Depends: R (>= 2.10), LogicReg, CircStats
Imports: gtools, plotrix
Description: Two classification ensemble methods based on logic regression models. LogForest uses a bagging approach to construct an ensemble of logic regression models. LBoost uses a combination of boosting and cross-validation to construct an ensemble of logic regression models. Both methods are used for classification of binary responses based on binary predictors and for identification of important variables and variable interactions predictive of a binary outcome.
License: GPL-2
Packaged: 2014-09-18 18:56:11 UTC; wolfb
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-19 00:46:31

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Package gmailr updated to version 0.5.0 with previous version 0.0.1 dated 2014-07-26

Title: Access the Gmail RESTful API from R
Description: An R interface to the Gmail RESTful API. Allows access to your Gmail messages, threads, drafts and labels from R.
Author: Jim Hester
Maintainer: Jim Hester

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Package edgeRun updated to version 1.0.8 with previous version 1.0.7 dated 2014-08-13

Title: More powerful unconditional testing of negative binomial means for Digital Gene Expression Data
Description: Extends edgeR functionality by improving on exactTest using an unconditional exact test of negative binomial means.
Author: Emmanuel Dimont
Maintainer: Emmanuel Dimont

Diff between edgeRun versions 1.0.7 dated 2014-08-13 and 1.0.8 dated 2014-09-18

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More information about edgeRun at CRAN
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Package bReeze updated to version 0.4-0 with previous version 0.3-2 dated 2014-05-08

Title: Functions for wind resource assessment
Description: A collection of functions to analyse, visualize and interpret wind data and to calculate the potential energy production of wind turbines.
Author: Christian Graul and Carsten Poppinga
Maintainer: Christian Graul

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Package allelematch updated to version 2.5 with previous version 2.03 dated 2013-01-14

Title: Identifying unique multilocus genotypes where genotyping error and missing data may be present
Description: This package provides tools for the identification of unique of multilocus genotypes when both genotyping error and missing data may be present. The package is targeted at those working with large datasets and databases containing multiple samples of each individual, a situation that is common in conservation genetics, and particularly in non-invasive wildlife sampling applications. Functions explicitly incorporate missing data, and can tolerate allele mismatches created by genotyping error. If you use this tool, please cite the package using the journal article in Molecular Ecology Resources (Galpern et al., 2012). Please use citation('allelematch') to find this. Due to changing CRAN policy, and the size and compile time of the vignettes, they can no longer be distributed with this package. Please contact the package primary author, or visit the allelematch site for a complete vignette (http://nricaribou.cc.umanitoba.ca/allelematch/). For users with access to academic literature, tutorial material is also available as supplementary material to the article describing this software.
Author: Paul Galpern
Maintainer: Paul Galpern

Diff between allelematch versions 2.03 dated 2013-01-14 and 2.5 dated 2014-09-18

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New package uskewFactors with initial version 1.0
Package: uskewFactors
Type: Package
Title: Model-based clustering via mixtures of unrestricted skew-t factor analyzer models
Version: 1.0
Date: 2014-09-08
Author: Paula M. Murray, Ryan P. Browne, and Paul D. McNicholas
Maintainer: Paula M. Murray
Description: Implements mixtures of unrestricted skew-t factor analyzer models via the EM algorithm
Depends: tmvtnorm, mvtnorm, MCMCpack, MASS
License: GPL (>= 2)
Packaged: 2014-09-18 13:48:45 UTC; paulamurray
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-18 17:32:32

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Permanent link

Package TreeSim updated to version 2.1 with previous version 2.0 dated 2014-07-28

Title: Simulating trees under the birth-death model
Description: The package simulates phylogenetic trees where (i) all tips are sampled at one time point or (ii) tips are sampled sequentially through time. (i) For sampling at one time point, simulations are performed under a constant rate birth-death process, conditioned on having a fixed number of final tips (sim.bd.taxa), or a fixed age (sim.bd.age), or a fixed age and number of tips (sim.bd.taxa.age). When conditioning on the number of final tips, the method allows for shifts in rates and mass extinction events during the birth-death process (sim.rateshift.taxa). The function sim.bd.age (and sim.rateshift.taxa without extinction) allow the speciation rate to change in a density-dependent way. The LTT plots of the simulations can be displayed using LTT.plot, LTT.plot.gen and LTT.average.root. TreeSim further samples trees with n final tips from a set of trees generated by the common sampling algorithm stopping when a fixed number m>>n of tips is first reached (sim.gsa.taxa). This latter method is appropriate for m-tip trees generated under a big class of models (details in the sim.gsa.taxa man page). For incomplete phylogeny, the missing speciation events can be added through simulations (corsim). (ii) sim.rateshifts.taxa is generalized to sim.bdsky.stt for serially sampled trees, where the trees are conditioned on either the number of sampled tips or the age. Furthermore, for a multitype-branching process with sequential sampling, trees on a fixed number of tips can be simulated using sim.bdtypes.stt.taxa. This function further allows to simulate under epidemiological models with an exposed class. The function sim.genespeciestree simulates coalescent gene trees within birth-death species trees, and sim.genetree simulates coalescent gene trees.
Author: Tanja Stadler
Maintainer: Tanja Stadler

Diff between TreeSim versions 2.0 dated 2014-07-28 and 2.1 dated 2014-09-18

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Package Rtsne updated to version 0.9 with previous version 0.8 dated 2014-07-28

Title: T-distributed Stochastic Neighbor Embedding using Barnes-Hut implementation
Description: An R wrapper around the fast T-distributed Stochastic Neighbor Embedding implementation by Van der Maaten
Author: Jesse Krijthe
Maintainer: Jesse Krijthe

Diff between Rtsne versions 0.8 dated 2014-07-28 and 0.9 dated 2014-09-18

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Package geostatsp updated to version 1.0.1 with previous version 1.0.0 dated 2014-09-17

Title: Geostatistics using SpatialPoints and rasters
Description: This package provides to geostatistical modelling facilities using raster and SpatialPoints objects.
Author: Patrick Brown [aut, cre], Robert Hijmans [ctb]
Maintainer: Patrick Brown

Diff between geostatsp versions 1.0.0 dated 2014-09-17 and 1.0.1 dated 2014-09-18

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Package betategarch updated to version 3.2 with previous version 3.1 dated 2013-12-09

Title: Simulation, estimation and forecasting of Beta-Skew-t-EGARCH models
Description: Simulation, estimation and forecasting of first-order Beta-Skew-t-EGARCH models with leverage (one-component, two-component, skewed versions).
Author: Genaro Sucarrat
Maintainer: Genaro Sucarrat

Diff between betategarch versions 3.1 dated 2013-12-09 and 3.2 dated 2014-09-18

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Package bbo updated to version 0.2 with previous version 0.1 dated 2013-04-19

Title: Biogeography-Based Optimization
Description: This package provides an R implementation of Biogeography-Based Optimization (BBO), originally invented by Prof. Dan Simon, Cleveland State University, Ohio. This method is an application of the concept of biogeography, a study of the geographical distribution of biological organisms, to optimization problems. More information about this method can be found here: http://academic.csuohio.edu/simond/bbo/.
Author: Sarvesh Nikumbh (BBO originally invented by Prof. Dan Simon, Cleveland State University, Ohio)
Maintainer: Sarvesh Nikumbh

Diff between bbo versions 0.1 dated 2013-04-19 and 0.2 dated 2014-09-18

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Package modTempEff updated to version 1.5.2 with previous version 1.5.1 dated 2012-04-13

Title: Modelling temperature effects using time series data
Description: Fits a Constrained Segmented Distributed Lag regression model to epidemiological time series of mortality, temperature, and other confounders.
Author: Vito M.R. Muggeo
Maintainer: Vito M.R. Muggeo

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Package DirichletReg updated to version 0.5-2 with previous version 0.5-1 dated 2014-09-18

Title: Dirichlet Regression in R
Description: Implements the Dirichlet Regression in R
Author: Marco Johannes Maier [cre, aut]
Maintainer: Marco Johannes Maier

Diff between DirichletReg versions 0.5-1 dated 2014-09-18 and 0.5-2 dated 2014-09-18

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New package SmoothHazard with initial version 1.2.0
Package: SmoothHazard
Title: Fitting illness-death model for interval-censored data
Version: 1.2.0
Author: Celia Touraine, Pierre Joly, Thomas A. Gerds
Description: SmoothHazard is a package for fitting illness-death (and survival) model with possibly interval-censored data for transition toward transient state. Left-truncated and right-censored data are also allowed. Proportional intensities regression models allow for covariates on each of the 3 transitions. We use either a parametric approach with Weibull baseline intensities or a semi-parametric approach with M-splines approximation of baseline intensities in order to obtain smooth estimates. Estimation of parameters is conducted by likelihood maximization in the parametric approach or penalized likelihood maximization in the semi-parametric approach.
Depends: R (>= 1.9.1)
Imports: lava, mvtnorm, prodlim
Maintainer: Thomas Alexander Gerds
License: GPL (>= 2)
Packaged: 2014-09-18 07:31:18 UTC; tag
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-09-18 09:45:25

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Package rgdal updated to version 0.9-1 with previous version 0.8-16 dated 2014-02-07

Title: Bindings for the Geospatial Data Abstraction Library
Description: Provides bindings to Frank Warmerdam's Geospatial Data Abstraction Library (GDAL) (>= 1.6.3, < 2) and access to projection/transformation operations from the PROJ.4 library. The GDAL and PROJ.4 libraries are external to the package, and, when installing the package from source, must be correctly installed first. Both GDAL raster and OGR vector map data can be imported into R, and GDAL raster data and OGR vector data exported. Use is made of classes defined in the sp package. Windows and Mac Intel OS X binaries (including GDAL, PROJ.4 and Expat) are provided on CRAN.
Author: Roger Bivand [cre, aut], Tim Keitt [aut], Barry Rowlingson [aut], Edzer Pebesma [ctb], Michael Sumner [ctb], Robert Hijmans [ctb], Even Rouault [ctb]
Maintainer: Roger Bivand

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Package refGenome updated to version 1.3.0 with previous version 1.2.0 dated 2013-12-04

Title: Gene And Splice Site Annotation Using Annotation Data From Ensembl And UCSC Genome Browsers
Description: The packge contains functionality for import and managing of downloaded genome annotation Data from Ensembl genome browser (European Bioinformatics Institute) and from UCSC genome browser (University of California, Santa Cruz) and annotation routines for genomic positions and splice site positions.
Author: Wolfgang Kaisers
Maintainer: Wolfgang Kaisers

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Package repmis updated to version 0.3 with previous version 0.2.9 dated 2014-05-11

Title: A collection of miscellaneous tools for reproducible research with R.
Description: The package includes tools to load R packages and automatically generate BibTeX files citing them as well as load plain-text and Excel formatted data stored on Dropbox, GitHub, and from other sources.
Author: Christopher Gandrud
Maintainer: Christopher Gandrud

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Package protViz updated to version 0.2.06 with previous version 0.1.98 dated 2014-06-25

Title: Visualizing and Analyzing Mass Spectrometry Related Data in Proteomics
Description: This R package helps with quality checks, visualizations and analysis of mass spectrometry data, coming from proteomics experiments. The package is developed, tested and used at the Functional Genomics Center Zurich. We use this package mainly for prototyping, teaching, and having fun with proteomics data. But it can also be used to do solid data analysis for small scale data sets.
Author: Christian Panse , Jonas Grossmann , Simon Barkow-Oesterreicher
Maintainer: Christian Panse

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Package paleotree updated to version 2.2 with previous version 2.1 dated 2014-08-16

Title: Paleontological and Phylogenetic Analyses of Evolution
Description: Analyzes, time-scales and simulates phylogenies of extinct/fossil lineages, along with calculation of diversity curves. Also fits likelihood models to estimate sampling rates from stratigraphic ranges.
Author: David W. Bapst
Maintainer: David W. Bapst

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New package ivbma with initial version 1.05
Package: ivbma
Type: Package
Title: Bayesian Instrumental Variable Estimation and Model Determination via Conditional Bayes Factors
Version: 1.05
Date: 2014-09-18
Author: Alex Lenkoski, Anna Karl, Andreas Neudecker
Maintainer: Alex Lenkoski
Description: This package allows one incorporate instrument and covariate uncertainty into instrumental variable regression.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2014-09-18 07:52:32 UTC; alex
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-18 10:23:22

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Package clhs updated to version 0.5-4 with previous version 0.5-1 dated 2012-09-10

Title: Conditioned Latin Hypercube Sampling
Description: This package implements the conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006). This method proposes to stratify sampling in presence of ancillary data. An extension of this method, which propose to associate a cost to each individual and take it into account during the optimisation process, is also proposed (Roudier et al., 2012).
Author: Pierre Roudier
Maintainer: Pierre Roudier

Diff between clhs versions 0.5-1 dated 2012-09-10 and 0.5-4 dated 2014-09-18

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Package boral updated to version 0.5 with previous version 0.4 dated 2014-08-25

Title: Bayesian Ordination and Regression AnaLysis
Description: Bayesian approaches for analyzing multivariate data in ecology. Estimation is performed using Markov Chain Monte Carlo (MCMC) methods via JAGS. Three types of models may be fitted: 1) With explanatory variables only, boral fits independent column GLMs to each column of the response matrix; 2) With latent variables only, boral fits a purely latent variable model for model-based unconstrained ordination; 3) With explanatory and latent variables, boral fits correlated column GLMs with latent variables to account for any residual correlation between the columns of the response matrix.
Author: Francis K.C. Hui
Maintainer: Francis Hui

Diff between boral versions 0.4 dated 2014-08-25 and 0.5 dated 2014-09-18

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Package gplots updated to version 2.14.2 with previous version 2.14.1 dated 2014-06-30

Title: Various R programming tools for plotting data
Description: Various R programming tools for plotting data
Author: Gregory R. Warnes, Ben Bolker, Lodewijk Bonebakker, Robert Gentleman, Wolfgang Huber Andy Liaw, Thomas Lumley, Martin Maechler, Arni Magnusson, Steffen Moeller, Marc Schwartz, Bill Venables
Maintainer: Gregory R. Warnes

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Package DirichletReg updated to version 0.5-1 with previous version 0.4-0 dated 2012-09-06

Title: Dirichlet Regression in R
Description: Implements the Dirichlet Regression in R
Author: Marco Johannes Maier [cre, aut]
Maintainer: Marco Johannes Maier

Diff between DirichletReg versions 0.4-0 dated 2012-09-06 and 0.5-1 dated 2014-09-18

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Package corHMM updated to version 1.15 with previous version 1.14 dated 2014-07-11

Title: Analysis of binary character evolution
Description: Fits a hidden rates model that allows different transition rate classes on different portions of a phylogeny by treating rate classes as hidden states in a Markov process and various other functions for evaluating models of binary character evolution.
Author: Jeremy M. Beaulieu , Jeffrey C. Oliver , Brian O'Meara
Maintainer: Jeremy Beaulieu

Diff between corHMM versions 1.14 dated 2014-07-11 and 1.15 dated 2014-09-18

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