Fri, 22 May 2015

Package wikipediatrend updated to version 1.1.1 with previous version 0.2.0 dated 2014-11-07

Title: Public Subject Attention via Wikipedia Page Access Statistics
Description: Public attention is an interesting field of study. The internet not only allows to access information in no time on virtually any subject but via page access statistics gathered by website authors the subject of attention as well can be studied. For the omnipresent Wikipedia those access statistics are made available via 'http://stats.grok.se' a server providing the information as file dumps as well as as web API. This package provides an easy to use, consistent and traffic minimizing approach to make those data accessible within R.
Author: Peter Meissner [aut, cre], R Core team [ctb] ('wp_date()' derived from base package's 'as.Date()')
Maintainer: Peter Meissner <retep.meissner@gmail.com>

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Package stochvol updated to version 1.1.1 with previous version 1.1.0 dated 2015-05-15

Title: Efficient Bayesian Inference for Stochastic Volatility (SV) Models
Description: Efficient algorithms for fully Bayesian estimation of stochastic volatility (SV) models via Markov chain Monte Carlo (MCMC) methods.
Author: Gregor Kastner [aut, cre]
Maintainer: Gregor Kastner <gregor.kastner@wu.ac.at>

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Package hsdar updated to version 0.1.5 with previous version 0.1.4 dated 2015-05-21

Title: Manage, Analyse and Simulate Hyperspectral Data in R
Description: Transformation of reflectance spectra, calculation of vegetation indices and red edge parameters, spectral resampling for hyperspectral remote sensing, simulation of reflectance and transmittance using the leaf reflectance model PROSPECT and the canopy reflectance model PROSAIL.
Author: Lukas W. Lehnert [cre, aut], Hanna Meyer [ctb], Joerg Bendix [ctb]
Maintainer: Lukas W. Lehnert <lukaslehnert@googlemail.com>

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New package mitml with initial version 0.2-2
Package: mitml
Type: Package
Title: Tools for Multiple Imputation in Multilevel Modeling
Version: 0.2-2
Date: 2015-05-23
Author: Simon Grund [aut,cre], Alexander Robitzsch [aut], Oliver Luedtke [aut]
Maintainer: Simon Grund <grund@ipn.uni-kiel.de>
Imports: pan, haven
Suggests: lme4, nlme, mice
LazyData: true
LazyLoad: true
Description: Provides tools for multiple imputation of missing data in multilevel modeling. Includes a user-friendly interface to the 'pan' package, and several functions for visualization, data management and the analysis of multiply imputed data sets.
License: GPL (>= 2)
Packaged: 2015-05-22 22:08:44 UTC; simon
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-05-23 01:34:51

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Package ClustMMDD updated to version 1.0.1 with previous version 1.0.0 dated 2015-05-20

Title: Variable Selection in Clustering by Mixture Models for Discrete Data
Description: An implementation of a variable selection procedure in clustering by mixture of multinomial models for discrete data. Genotype data are examples of such data with two unordered observations (alleles) at each locus for diploid individual. The two-fold problem of variable selection and clustering is seen as a model selection problem where competing models are characterized by the number of clusters K, and the subset S of clustering variables. Competing models are compared by penalized maximum likelihood criteria. We considered asymptotic criteria such as Akaike and Bayesian Information criteria, and a family of penalized criteria with penalty function to be data driven calibrated.
Author: Wilson Toussile
Maintainer: Wilson Toussile <wilson.toussile@gmail.com>

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Package TSdata updated to version 2015.4-2 with previous version 2015.4-1 dated 2015-05-01

Title: 'TSdbi' Illustration
Description: Illustrates the various 'TSdbi' packages with a vignette using time series data from several sources. The vignette also illustrates some simple time series manipulation and plotting using packages 'tframe' and 'tfplot'.
Author: Paul Gilbert <pgilbert.ttv9z@ncf.ca>
Maintainer: Paul Gilbert <pgilbert.ttv9z@ncf.ca>

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Package testthat updated to version 0.10.0 with previous version 0.9.1 dated 2014-10-01

Title: Unit Testing for R
Description: A unit testing system designed to be fun, flexible and easy to set up.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package reproducer updated to version 0.1.3 with previous version 0.1.2 dated 2015-01-25

Title: Reproduce Statistical Analyses and Meta-Analyses
Description: The reproducer R package includes data analysis functions and data sets (e.g., related to software defect prediction) to streamline reproducible research in software engineering.
Author: Lech Madeyski [cre, aut], Marian Jureczko [ctb] (Data contributor), Barbara Kitchenham [ctb] (Data contributor)
Maintainer: Lech Madeyski <lech.madeyski@gmail.com>

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Package manifestoR updated to version 1.0-1 with previous version 0.9-12 dated 2015-05-05

Title: Access and Process Data and Documents of the Manifesto Project
Description: Provides access to coded election programmes from the Manifesto Corpus and to the Manifesto Project's Main Dataset. The Manifesto Project (https://manifesto-project.wzb.eu) collects and analyses election programmes across time and space to measure the political preferences of parties. The Manifesto Corpus contains the collected and annotated election programmes in the Corpus format of the package 'tm' to enable easy use of text processing and text mining functionality. Specific functions for scaling of coded political texts are included.
Author: Jirka Lewandowski [aut, cre], Nicolas Merz [aut], Sven Regel [ctb], Pola Lehmann [ctb]
Maintainer: Jirka Lewandowski <jirka.lewandowski@wzb.eu>

Diff between manifestoR versions 0.9-12 dated 2015-05-05 and 1.0-1 dated 2015-05-22

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More information about manifestoR at CRAN
Permanent link

Package kernelFactory updated to version 0.2.1 with previous version 0.2.0 dated 2014-03-23

Title: Kernel Factory: An Ensemble of Kernel Machines
Description: Binary classification based on an ensemble of kernel machines ("Ballings, M. and Van den Poel, D. (2013), Kernel Factory: An Ensemble of Kernel Machines. Expert Systems With Applications, 40(8), 2904-2913"). Kernel factory is an ensemble method where each base classifier (random forest) is fit on the kernel matrix of a subset of the training data.
Author: Michel Ballings, Dirk Van den Poel
Maintainer: Michel Ballings <Michel.Ballings@GMail.com>

Diff between kernelFactory versions 0.2.0 dated 2014-03-23 and 0.2.1 dated 2015-05-22

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New package Gotoh with initial version 0.9
Package: Gotoh
Type: Package
Title: C++ Wrapper for R which Does Alignments using Gotoh Algorithm
Version: 0.9
Date: 2015-05-18
Author: Rafael Nozal Canyadas <rca025@uib.no> , Eivind Valen <eivind.valen@gmail.com>
Maintainer: Rafael Nozal Canyadas <rca025@uib.no>
Description: Implement a Gotoh approach to sequence alignment. The Gotoh algorithm was first published by Osamu Gotoh in 1982; for more information please refer to: <doi:10.1016/0022-2836(82)90398-9> We are using 'Rcpp', which decrease greatly the CPU time with respect other alignment implementations. This was done in an effort to speed up the calculations for the project AmpliCan. The improvement we got compared with 'DECIPHER' is in between 300x and 500x many fold for sequences between 100 to 200 nucleotides, and between 100x and 200x for sequences of between 200 to 300 nucleotides. And up to 1.5x for sequences of size 10.000 nucleotides and beyond. This package contains the minimum files require for it to work. Please download the repository at: https://rafanozal@bitbucket.org/rafanozal/amplican.git to get the a more verbose documentation and script benchmarks.
Depends: R (>= 3.1.1)
License: GPL (>= 2)
Imports: Rcpp (>= 0.11.6)
LinkingTo: Rcpp
Packaged: 2015-05-22 19:21:41 UTC; rafaelc
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-05-22 22:39:20

More information about Gotoh at CRAN
Permanent link

Package curl updated to version 0.7 with previous version 0.6 dated 2015-05-19

Title: A Modern and Flexible Web Client for R
Description: The curl() and curl_download() functions provide highly configurable drop-in replacements for base url() and download.file() with better performance, support for HTTP 2.0, SSL (https://, ftps://), gzip, and other 'libcurl' goodies. The core of the package implements a framework for performing fully customizable requests where data can be processed either in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of 'libcurl' is recommended; for a more-user-friendly web client see the 'httr' package which builds on this package with HTTP specific tools and logic.
Author: Jeroen Ooms [cre, aut], Hadley Wickham [ctb], RStudio [cph]
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between curl versions 0.6 dated 2015-05-19 and 0.7 dated 2015-05-22

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Package spsurvey updated to version 3.0 with previous version 2.6 dated 2013-09-26

Title: Spatial Survey Design and Analysis
Description: This group of functions implements algorithms for design and analysis of probability surveys. The functions are tailored for Generalized Random Tessellation Stratified survey designs.
Author: Tom Kincaid [aut, cre], Tony Olsen [aut], Don Stevens [ctb], Christian Platt [ctb], Denis White [ctb], Richard Remington [ctb]
Maintainer: Tom Kincaid <Kincaid.Tom@epa.gov>

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Package denpro updated to version 0.9.2 with previous version 0.9.1 dated 2013-08-13

Title: Visualization of Multivariate Functions, Sets, and Data
Description: We provide tools to (1) visualize multivariate density functions and density estimates with level set trees, (2) visualize level sets with shape trees, (3) visualize multivariate data with tail trees, (4) visualize scales of multivariate density estimates with mode graphs and branching maps, and (5) visualize anisotropic spread with 2D volume functions and 2D probability content functions. Level set trees visualize mode structure, shape trees visualize shapes of level sets of unimodal densities, and tail trees visualize connected data sets. The kernel estimator is implemented but the package may also be applied for visualizing other density estimates.
Author: Jussi Klemela <jussi.klemela@gmail.com>
Maintainer: Jussi Klemela <jussi.klemela@gmail.com>

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Package dendextendRcpp updated to version 0.6.1 with previous version 0.5.1 dated 2014-03-16

Title: Faster Dendrogram Manipulation using 'Rcpp'
Description: Offers faster manipulation of dendrogram objects in R. A dendrogram object in R is a list structure with attributes in its nodes and leaves. Working with dendrogram objects often require a function to recursively go through all (or most) element in the list object. Naturally, such function are rather slow in R, but can become much faster thanks to 'Rcpp'.
Author: Tal Galili [aut, cre, cph] (http://www.r-statistics.com), Romain Francois [ctb], Dirk Eddelbuettel [ctb], Kevin Ushey [ctb], Yoav Benjamini [ths]
Maintainer: Tal Galili <tal.galili@gmail.com>

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Package tmle.npvi updated to version 0.10.0 with previous version 0.9.3 dated 2015-02-05

Title: Targeted Learning of a NP Importance of a Continuous Exposure
Description: Targeted minimum loss estimation (TMLE) of a non-parametric variable importance measure of a continuous exposure 'X' on an outcome 'Y', taking baseline covariates 'W' into account.
Author: Antoine Chambaz, Pierre Neuvial
Maintainer: Pierre Neuvial <pierre.neuvial@genopole.cnrs.fr>

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Package VarSelLCM updated to version 1.1 with previous version 1.0 dated 2015-03-19

Title: Variable Selection for Model-Based Clustering using the Integrated Complete-Data Likelihood of a Latent Class Model
Description: Variable Selection for model-based clustering by using a mixture model of Gaussian distributions assuming conditional independence between variables. The algorithm carries out the model selection by optimizing the MICL criterion which has a closed form for such a distribution.
Author: Matthieu Marbac and Mohammed Sedki
Maintainer: Mohammed Sedki <mohammed.sedki@u-psud.fr>

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Package seroincidence updated to version 1.0.4 with previous version 1.0.3 dated 2015-04-10

Title: Estimating Infection Rates from Serological Data
Description: Translates antibody levels measured in a (cross-sectional) population sample into an estimate of the frequency with which seroconversions (infections) occur in the sampled population.
Author: Peter Teunis [aut] (Author of the method and original code), Daniel Lewandowski [com, ctb] (Creator of the R package), Chantal Quinten [ctb, cre] (Project manager and the package maintainer)
Maintainer: Chantal Quinten <seroincidence@ecdc.europa.eu>

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Package mvmeta updated to version 0.4.7 with previous version 0.4.5 dated 2014-08-09

Title: Multivariate and Univariate Meta-Analysis and Meta-Regression
Description: Collection of functions to perform fixed and random-effects multivariate and univariate meta-analysis and meta-regression.
Author: Antonio Gasparrini
Maintainer: Antonio Gasparrini <antonio.gasparrini@lshtm.ac.uk>

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Package mosaic updated to version 0.10.0 with previous version 0.9.2-2 dated 2015-01-06

Title: Project MOSAIC Statistics and Mathematics Teaching Utilities
Description: Data sets and utilities from Project MOSAIC (mosaic-web.org) used to teach mathematics, statistics, computation and modeling. Funded by the NSF, Project MOSAIC is a community of educators working to tie together aspects of quantitative work that students in science, technology, engineering and mathematics will need in their professional lives, but which are usually taught in isolation, if at all.
Author: Randall Pruim <rpruim@calvin.edu>, Daniel Kaplan <kaplan@macalester.edu>, Nicholas Horton <nhorton@amherst.edu>
Maintainer: Randall Pruim <rpruim@calvin.edu>

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Package coneproj updated to version 1.6 with previous version 1.5 dated 2014-11-16

Title: Primal or Dual Cone Projections with Routines for Constrained Regression
Description: Routines doing cone projection and quadratic programming, as well as doing estimation and inference for constrained parametric regression and shape-restricted regression problems.
Author: Mary C. Meyer and Xiyue Liao
Maintainer: Xiyue Liao <xiyue@rams.colostate.edu>

Diff between coneproj versions 1.5 dated 2014-11-16 and 1.6 dated 2015-05-22

 DESCRIPTION      |   10 -
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 NAMESPACE        |    8 
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 19 files changed, 638 insertions(+), 266 deletions(-)

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Package frbs updated to version 3.1-0 with previous version 3.0-0 dated 2015-01-16

Title: Fuzzy Rule-Based Systems for Classification and Regression Tasks
Description: An implementation of various learning algorithms based on fuzzy rule-based systems (FRBSs) for dealing with classification and regression tasks. Moreover, it allows to construct an FRBS model defined by human experts. FRBSs are based on the concept of fuzzy sets, proposed by Zadeh in 1965, which aims at representing the reasoning of human experts in a set of IF-THEN rules, to handle real-life problems in, e.g., control, prediction and inference, data mining, bioinformatics data processing, and robotics. FRBSs are also known as fuzzy inference systems and fuzzy models. During the modeling of an FRBS, there are two important steps that need to be conducted: structure identification and parameter estimation. Nowadays, there exists a wide variety of algorithms to generate fuzzy IF-THEN rules automatically from numerical data, covering both steps. Approaches that have been used in the past are, e.g., heuristic procedures, neuro-fuzzy techniques, clustering methods, genetic algorithms, squares methods, etc. Furthermore, in this version we provide a universal framework named 'frbsPMML', which is adopted from the Predictive Model Markup Language (PMML), for representing FRBS models. PMML is an XML-based language to provide a standard for describing models produced by data mining and machine learning algorithms. Therefore, we are allowed to export and import an FRBS model to/from 'frbsPMML'. Finally, this package aims to implement the most widely used standard procedures, thus offering a standard package for FRBS modeling to the R community.
Author: Lala Septem Riza, Christoph Bergmeir, Francisco Herrera, and Jose Manuel Benitez
Maintainer: Christoph Bergmeir <c.bergmeir@decsai.ugr.es>

Diff between frbs versions 3.0-0 dated 2015-01-16 and 3.1-0 dated 2015-05-22

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New package dpmr with initial version 0.1.7-1
Package: dpmr
Title: Data Package Manager for R
Description: Create, install, and summarise data packages that follow the Open Knowledge Foundation's Data Package Protocol.
Version: 0.1.7-1
Date: 2015-05-22
Authors@R: c( person("Christopher", "Gandrud", email = "christopher.gandrud@gmail.com", role = c("aut", "cre")) )
URL: http://christophergandrud.github.io/dpmr/
BugReports: https://github.com/christophergandrud/dpmr/issues
License: GPL-3
Imports: digest, httr, jsonlite, magrittr, rio
Suggests: devtools, testthat
NeedsCompilation: no
Packaged: 2015-05-22 10:22:53 UTC; christophergandrud
Author: Christopher Gandrud [aut, cre]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>
Repository: CRAN
Date/Publication: 2015-05-22 13:22:08

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Package streamMOA updated to version 1.1-0 with previous version 1.0-0 dated 2014-12-19

Title: Interface for MOA Stream Clustering Algorithms
Description: Provides an interface for data stream clustering algorithms implemented in the MOA (Massive Online Analysis) framework.
Author: Michael Hahsler [aut, cre, cph], Matthew Bolanos [aut, cph], John Forrest [aut, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between streamMOA versions 1.0-0 dated 2014-12-19 and 1.1-0 dated 2015-05-22

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Package stream updated to version 1.1-2 with previous version 1.1-1 dated 2015-01-16

Title: Infrastructure for Data Stream Mining
Description: A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893 and NIH R21HG005912.
Author: Michael Hahsler [aut, cre, cph], Matthew Bolanos [aut, cph], John Forrest [aut, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between stream versions 1.1-1 dated 2015-01-16 and 1.1-2 dated 2015-05-22

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Package oce updated to version 0.9-17 with previous version 0.9-16 dated 2015-05-20

Title: Analysis of Oceanographic Data
Description: Supports the analysis of Oceanographic data, including ADCP measurements, CTD measurements, sectional data, sea-level time series, coastline files, etc. Handles dozens of specialized functions for calculating seawater properties such as potential temperature and density, as well as derived properties such as buoyancy frequency and dynamic height. Map projections are calculated using PROJ.4 functions included within the oce.
Author: Dan Kelley [aut, cre], Clark Richards [aut], Chantelle Layton [ctb, cph] (curl() coauthor), Gerald Evenden [ctb, cph] (PROJ.4 author), Frank Warmerdam [ctb, cph] (PROJ.4 author), Howard Butler [ctb, cph] (PROJ.4 author), Brent Fraser [ctb, cph] (PROJ.4 contributor), Chris Stuber [ctb, cph] (PROJ.4 contributor), Craig Bruce [ctb, cph] (PROJ.4 contributor), Victor Osipkov [ctb, cph] (PROJ.4 contributor), Andrea Antonello [ctb, cph] (PROJ.4 contributor), Charles Karney [ctb, cph] (PROJ.4 contributor), Karsten Engsager [ctb, cph] (PROJ.4 contributor), Knud Poder [ctb, cph] (PROJ.4 contributor), Robert Gentleman [ctb, cph] (author of approx() code, used in binmapAdp()), Ross Ihaka [ctb, cph] (author of approx() code, used in binmapAdp())
Maintainer: Dan Kelley <Dan.Kelley@Dal.Ca>

Diff between oce versions 0.9-16 dated 2015-05-20 and 0.9-17 dated 2015-05-22

 DESCRIPTION          |    8 ++++----
 MD5                  |   10 +++++-----
 NEWS                 |    3 +++
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 man/landsat-class.Rd |    2 +-
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More information about oce at CRAN
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Package metafor updated to version 1.9-7 with previous version 1.9-6 dated 2015-05-07

Title: Meta-Analysis Package for R
Description: A comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbe, Baujat plots). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Peto's method, and a variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects (conditional) logistic and Poisson regression models). Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network meta-analyses and meta-analyses accounting for known correlation structures (e.g., due to phylogenetic relatedness) can also be conducted.
Author: Wolfgang Viechtbauer [aut, cre]
Maintainer: Wolfgang Viechtbauer <wvb@metafor-project.org>

Diff between metafor versions 1.9-6 dated 2015-05-07 and 1.9-7 dated 2015-05-22

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 tests/testthat/test_confint.r                              |   32 -
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Package libamtrack updated to version 0.6.1 with previous version 0.6.0 dated 2015-05-21

Title: Computational Routines for Proton and Ion Radiotherapy
Description: R interface to the open-source, ANSI C library libamtrack (http://libamtrack.dkfz.org). libamtrack provides computational routines for the prediction of detector response and radiobiological efficiency in heavy charged particle beams. It is designed for research in proton and ion dosimetry and radiotherapy. libamtrack also provides many auxiliary physics routines for proton and ion beams. Original package and C-to-R conversion routines developed by Felix A. Klein.
Author: Steffen Greilich and the libamtrack team
Maintainer: Steffen Greilich <s.greilich@dkfz.de>

Diff between libamtrack versions 0.6.0 dated 2015-05-21 and 0.6.1 dated 2015-05-22

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Package geomorph updated to version 2.1.5 with previous version 2.1.4 dated 2015-04-02

Title: Geometric Morphometric Analyses of 2D/3D Landmark Data
Description: Read, manipulate, and digitize landmark data, generate shape variables via Procrustes analysis for points, curves and surfaces, perform shape analyses, and provide graphical depictions of shapes and patterns of shape variation.
Author: Dean Adams, Michael Collyer, Emma Sherratt
Maintainer: Dean Adams <dcadams@iastate.edu>

Diff between geomorph versions 2.1.4 dated 2015-04-02 and 2.1.5 dated 2015-05-22

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 86 files changed, 697 insertions(+), 1172 deletions(-)

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Package evolqg updated to version 0.1-5 with previous version 0.1-4 dated 2015-05-21

Title: Tools for Evolutionary Quantitative Genetics
Description: Provides functions for covariance matrix comparisons, estimation of repeatabilities in measurements and matrices, and general evolutionary quantitative genetics tools.
Author: Ana Paula Assis, Diogo Melo, Edgar Zanella, Fabio Machado, Guilherme Garcia
Maintainer: Diogo Melo <diogro@usp.br>

Diff between evolqg versions 0.1-4 dated 2015-05-21 and 0.1-5 dated 2015-05-22

 DESCRIPTION          |    6 +++---
 MD5                  |    6 +++---
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 src/l-modularity.cpp |    3 ++-
 4 files changed, 9 insertions(+), 8 deletions(-)

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Package dataview updated to version 2.1.1 with previous version 2.0-9 dated 2014-04-10

Title: Data and Workspace Browser for Terminals
Description: Tools for deciphering the contents of unknown objects or environments from within the terminal, a problem often encountered when working with unfamiliar packages or debugging complex functions. If working in xterm256 or ANSI terminals the output is coloured by default to improve readability (e.g. the standard Ubuntu terminal).
Author: Christofer Backlin [aut, cre]
Maintainer: Christofer Backlin <christofer.backlin@medsci.uu.se>

Diff between dataview versions 2.0-9 dated 2014-04-10 and 2.1.1 dated 2015-05-22

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Package bcv updated to version 1.0.1 with previous version 1.0 dated 2009-10-15

Title: Cross-Validation for the SVD (Bi-Cross-Validation)
Description: Methods for choosing the rank of an SVD approximation via cross validation. The package provides both Gabriel-style "block" holdouts and Wold-style "speckled" holdouts. It also includes an implementation of the SVDImpute algorithm. For more information about Bi-cross-validation, see Owen & Perry's 2009 AoAS article (at http://arxiv.org/abs/0908.2062) and Perry's 2009 PhD thesis (at http://arxiv.org/abs/0909.3052).
Author: Patrick O. Perry
Maintainer: Patrick O. Perry <pperry@stern.nyu.edu>

Diff between bcv versions 1.0 dated 2009-10-15 and 1.0.1 dated 2015-05-22

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Package acp updated to version 2.0 with previous version 1.1 dated 2015-01-08

Title: Autoregressive Conditional Poisson
Description: Analysis of count data exhibiting autoregressive properties, using the Autoregressive Conditional Poisson model (ACP(p,q)) proposed by Heinen (2003).
Author: Siakoulis Vasileios
Maintainer: Siakoulis Vasilios <Siakoulis.Vasilios@atticabank.gr>

Diff between acp versions 1.1 dated 2015-01-08 and 2.0 dated 2015-05-22

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More information about acp at CRAN
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