Sat, 28 May 2016

New package cocor with initial version 1.1-3
Package: cocor
Type: Package
Title: Comparing Correlations
Author: Birk Diedenhofen [aut, cre]
Maintainer: Birk Diedenhofen <mail@birkdiedenhofen.de>
Depends: methods
Suggests: testthat
Enhances: rkward
Imports: stats
Description: Statistical tests for the comparison between two correlations based on either independent or dependent groups. Dependent correlations can either be overlapping or nonoverlapping. A web interface is available on the website http://comparingcorrelations.org. A plugin for the R GUI and IDE RKWard is included. Please install RKWard from https://rkward.kde.org to use this feature. The respective R package 'rkward' cannot be installed directly from a repository, as it is a part of RKWard.
License: GPL (>= 3)
Encoding: UTF-8
LazyLoad: yes
URL: http://comparingcorrelations.org
Authors@R: c(person(given="Birk", family="Diedenhofen", email="mail@birkdiedenhofen.de", role=c("aut", "cre")))
Version: 1.1-3
Date: 2016-05-28
RoxygenNote: 5.0.1
Collate: '0helper.r' 'as.htest.r' 'cocor-package.R' 'cocor.dep.groups.nonoverlap.r' 'cocor.dep.groups.overlap.r' 'cocor.indep.groups.r' 'cocor.r' 'get.cocor.input.r' 'get.cocor.results.r'
NeedsCompilation: no
Packaged: 2016-05-28 16:24:29 UTC; birk
Repository: CRAN
Date/Publication: 2016-05-28 20:30:27

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Package CHNOSZ updated to version 1.0.8 with previous version 1.0.7 dated 2015-11-19

Title: Chemical Thermodynamics and Activity Diagrams
Description: Functions and data sets to support chemical thermodynamic modeling in biochemistry and low-temperature geochemistry. The features include calculation of the standard molal thermodynamic properties and chemical affinities of reactions involving minerals and/or biomolecules; a database of thermodynamic properties of aqueous, crystalline and gaseous species; amino acid group additivity for the standard molal thermodynamic properties of neutral and ionized proteins; use of the revised Helgeson-Kirkham-Flowers equations of state for aqueous species; construction of equilibrium activity diagrams as a function of temperature, pressure, and chemical activities or fugacities of basis species.
Author: Jeffrey Dick
Maintainer: Jeffrey Dick <j3ffdick@gmail.com>

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Package varbvs updated to version 2.0.0 with previous version 1.0 dated 2012-04-10

Title: Large-Scale Bayesian Variable Selection Using Variational Methods
Description: Fast algorithms for fitting Bayesian variable selection models and computing Bayes factors, in which the outcome (or response variable) is modeled using a linear regression or a logistic regression. The algorithms are based on the variational approximations described in "Scalable variational inference for Bayesian variable selection in regression, and its accuracy in genetic association studies" (P. Carbonetto & M. Stephens, 2012, <DOI:10.1214/12-BA703>). This software has been applied to large data sets with over a million variables and thousands of samples.
Author: Peter Carbonetto, Matthew Stephens
Maintainer: Peter Carbonetto <peter.carbonetto@gmail.com>

Diff between varbvs versions 1.0 dated 2012-04-10 and 2.0.0 dated 2016-05-28

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New package riem with initial version 0.1.0
Package: riem
Type: Package
Title: Accesses Weather Data from the Iowa Environment Mesonet
Version: 0.1.0
Authors@R: c(person("Maëlle", "Salmon", email = "maelle.salmon@yahoo.se", role = c("aut", "cre")), person("Brooke", "Anderson", role = c("rev"), comment = "Brooke Anderson reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/39."))
Description: Allows to get weather data from Automated Surface Observing System (ASOS) stations (airports) in the whole world thanks to the Iowa Environment Mesonet website.
License: GPL (>= 2)
LazyData: TRUE
Imports: httr (>= 1.1.0), lubridate (>= 1.5.6), dplyr (>= 0.4.3), jsonlite (>= 0.9.19), readr (>= 0.2.2), lazyeval (>= 0.1.10)
RoxygenNote: 5.0.1
URL: http://github.com/ropenscilabs/riem
BugReports: http://github.com/ropenscilabs/riem/issues
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2016-05-28 13:36:04 UTC; Maelle
Author: Maëlle Salmon [aut, cre], Brooke Anderson [rev] (Brooke Anderson reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/39.)
Maintainer: Maëlle Salmon <maelle.salmon@yahoo.se>
Repository: CRAN
Date/Publication: 2016-05-28 15:52:50

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Package itsadug updated to version 2.1 with previous version 2.0 dated 2016-03-20

Title: Interpreting Time Series and Autocorrelated Data Using GAMMs
Description: GAMM (Generalized Additive Mixed Modeling; Lin & Zhang, 1999) as implemented in the R package 'mgcv' (Wood, S.N., 2006; 2011) is a nonlinear regression analysis which is particularly useful for time course data such as EEG, pupil dilation, gaze data (eye tracking), and articulography recordings, but also for behavioral data such as reaction times and response data. As time course measures are sensitive to autocorrelation problems, GAMMs implements methods to reduce the autocorrelation problems. This package includes functions for the evaluation of GAMM models (e.g., model comparisons, determining regions of significance, inspection of autocorrelational structure in residuals) and interpreting of GAMMs (e.g., visualization of complex interactions, and contrasts).
Author: Jacolien van Rij [aut, cre], Martijn Wieling [aut], R. Harald Baayen [aut], Hedderik van Rijn [ctb]
Maintainer: Jacolien van Rij <vanrij.jacolien@gmail.com>

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Package htmltab updated to version 0.7.0 with previous version 0.6.0 dated 2015-07-22

Title: Assemble Data Frames from HTML Tables
Description: HTML tables are a valuable data source but extracting and recasting these data into a useful format can be tedious. This package allows to collect structured information from HTML tables. It is similar to readHTMLTable() of the XML package but provides three major advantages. First, the function automatically expands row and column spans in the header and body cells. Second, users are given more control over the identification of header and body rows which will end up in the R table, including semantic header information that appear throughout the body. Third, the function preprocesses table code, corrects common types of malformations, removes unneeded parts and so helps to alleviate the need for tedious post-processing.
Author: Christian Rubba [aut, cre]
Maintainer: Christian Rubba <christian.rubba@gmail.com>

Diff between htmltab versions 0.6.0 dated 2015-07-22 and 0.7.0 dated 2016-05-28

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New package ZeligEI with initial version 0.1-0
Package: ZeligEI
Maintainer: James Honaker <zelig.zee@gmail.com>
License: GPL (>= 2)
Title: Zelig Ecological Inference Models
Author: James Honaker
Description: Add-on package for Zelig 5. Enables the use of a variety of ecological inference models.
Version: 0.1-0
Date: 2016-05-27
Imports: methods, Zelig (>= 5.0-11), MASS, jsonlite, dplyr, eiPack, ei, MCMCpack
Suggests: testthat, knitr
Collate: 'create-json.R' 'model-ei.R' 'model-dynamic-ei.R' 'model-hier-ei.R' 'model-ml-ei.R' 'model-rxc-ei.R'
NeedsCompilation: no
Packaged: 2016-05-28 03:41:40 UTC; tercer
Repository: CRAN
Date/Publication: 2016-05-28 08:18:30

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Package rdrobust updated to version 0.91 with previous version 0.90 dated 2016-05-08

Title: Robust Data-Driven Statistical Inference in Regression-Discontinuity Designs
Description: Regression-discontinuity (RD) designs are quasi-experimental research designs popular in social, behavioral and natural sciences. The RD design is usually employed to study the (local) causal effect of a treatment, intervention or policy. This package provides tools for data-driven graphical and analytical statistical inference in RD designs: rdrobust() to construct local-polynomial point estimators and robust confidence intervals for average treatment effects at the cutoff in Sharp, Fuzzy and Kink RD settings, rdbwselect() to perform bandwidth selection for the different procedures implemented, and rdplot() to conduct exploratory data analysis (RD plots).
Author: Sebastian Calonico <scalonico@bus.miami.edu>, Matias D. Cattaneo <cattaneo@umich.edu>, Max H. Farrell, <max.farrell@chicagobooth.edu>, Rocio Titiunik <titiunik@umich.edu>
Maintainer: Sebastian Calonico <scalonico@bus.miami.edu>

Diff between rdrobust versions 0.90 dated 2016-05-08 and 0.91 dated 2016-05-28

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New package preprosim with initial version 0.1.0
Package: preprosim
Type: Package
Title: Lightweight Data Quality Simulation for Classification
Version: 0.1.0
Date: 2016-05-28
Authors@R: person("Markus", "Vattulainen", email = "markus.vattulainen@gmail.com", role = c("aut", "cre"))
Description: Data quality simulation can be used to check the robustness of data analysis findings and learn about the impact of data quality contaminations on classification. This package helps to add contaminations (noise, missing values, outliers, low variance, irrelevant features, class swap (inconsistency), class imbalance and decrease in data volume) to data and then evaluate the simulated data sets for classification accuracy. As a lightweight solution simulation runs can be set up with no or minimal up-front effort.
License: GPL-2
LazyData: TRUE
Imports: DMwR, reshape2, ggplot2, methods, stats, caret, doParallel, foreach
Suggests: gbm, testthat, preprocomb, preproviz, knitr, rmarkdown
URL: https://github.com/mvattulainen/preprosim
BugReports: https://github.com/mvattulainen/preprosim/issues
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-28 04:39:33 UTC; Markus
Author: Markus Vattulainen [aut, cre]
Maintainer: Markus Vattulainen <markus.vattulainen@gmail.com>
Repository: CRAN
Date/Publication: 2016-05-28 08:18:24

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Package MVar.pt updated to version 1.8 with previous version 1.7 dated 2016-04-14

Title: Analise multivariada (brazilian portuguese)
Description: Pacote para analise multivariada, que possui funcoes que executam analise de correspondencia simples (CA) e multipla (MCA), analise de componentes principais (PCA), analise de correlacao canonica (CCA), analise fatorial (FA), analise de multiplos fatores (MFA), para dados quantitativos, qualitativos, de frequencia (MFACT) e dados mistos. Tambem possui outras funcoes uteis para a analise multivariada.
Author: Paulo Cesar Ossani <ossanipc@hotmail.com> Marcelo Angelo Cirillo <macufla@dex.ufla.br>
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

Diff between MVar.pt versions 1.7 dated 2016-04-14 and 1.8 dated 2016-05-28

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New package evclust with initial version 1.0.1
Package: evclust
Type: Package
Title: Evidential Clustering
Version: 1.0.1
Date: 2016-05-15
Author: Thierry Denoeux
Maintainer: Thierry Denoeux <tdenoeux@utc.fr>
Description: Various clustering algorithms that produce a credal partition, i.e., a set of Dempster-Shafer mass functions representing the membership of objects to clusters. The mass functions quantify the cluster-membership uncertainty of the objects. The algorithms are: Evidential c-Means (ECM), Relational Evidential c-Means (RECM), Constrained Evidential c-Means (CECM), EVCLUS and EK-NNclus.
Depends: R (>= 3.1.0),
Imports: FNN, R.utils, limSolve, Matrix
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
VignetteBuilder: knitr
Suggests: knitr,rmarkdown
NeedsCompilation: no
Packaged: 2016-05-28 03:27:49 UTC; Thierry
Repository: CRAN
Date/Publication: 2016-05-28 08:18:28

More information about evclust at CRAN
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