Mon, 02 May 2016

New package TippingPoint with initial version 1.0.0
Package: TippingPoint
Title: Enhanced Tipping Point Displays the Results of Sensitivity Analyses for Missing Data
Version: 1.0.0
Author: Shengjie Zhang <zhangshengjie@mrbc-nccd.com>, Xikun Han <hanxikun2014@163.com> and Victoria Liublinska <vliublin@g.harvard.edu>
Maintainer: Xikun Han <hanxikun2014@163.com>
Description: Using the idea of "tipping point" (proposed in Gregory Campbell, Gene Pennello and Lilly Yue(2011) <DOI:10.1080/10543406.2011.550094>) to visualize the results of sensitivity analysis for missing data, the package provides a set of functions to list out all the possible combinations of the values of missing data in two treatment arms, calculate corresponding estimated treatment effects and p values and draw a colored heat-map to visualize them. It could deal with randomized experiments with a binary outcome or a continuous outcome. In addition, the package provides a visualized method to compare various imputation methods by adding the rectangles or convex hulls on the basic plot.
Depends: R (>= 3.0.0)
Imports: ggplot2 (>= 2.0.0), RColorBrewer, bayesSurv, reshape2, Rcpp
Suggests: knitr, rmarkdown
License: GPL-2
LazyData: true
Date: 2016-05-01
RoxygenNote: 5.0.1
VignetteBuilder: knitr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2016-05-01 17:39:19 UTC; 1159225156
Repository: CRAN
Date/Publication: 2016-05-02 06:24:29

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Package tablaxlsx updated to version 1.1.0 with previous version 1.0.9 dated 2016-04-06

Title: Write Formatted Tables in Excel Workbooks
Description: Some functions are included in this package for writing tables in Excel format suitable for distribution.
Author: Jesus Maria Rodriguez Rodriguez
Maintainer: Jesus Maria Rodriguez Rodriguez <jesusmro@ono.com>

Diff between tablaxlsx versions 1.0.9 dated 2016-04-06 and 1.1.0 dated 2016-05-02

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Package shuffle updated to version 1.0.1 with previous version 1.0 dated 2014-01-07

Title: The Shuffle Estimator for Explainable Variance
Description: Implementation of the shuffle estimator, a non-parametric estimator for signal and noise variance under mild noise correlations.
Author: Yuval Benjamini
Maintainer: Yuval Benjamini <yuvalbenj@gmail.com>

Diff between shuffle versions 1.0 dated 2014-01-07 and 1.0.1 dated 2016-05-02

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New package surveybootstrap with initial version 0.0.1
Package: surveybootstrap
Title: Tools for the Bootstrap with Survey Data
Version: 0.0.1
Authors@R: c(person(given="Dennis", middle="M.", family="Feehan", email="feehan@berkeley.edu", role=c("aut", "cre")), person(given="Matthew", middle="J.", family="Salganik", email="mjs3@princeton.edu", role="ths"))
Description: Tools for using different kinds of bootstrap for estimating sampling variation using complex survey data.
License: MIT + file LICENSE
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
Depends: plyr, dplyr, functional, stringr
Suggests: knitr, testthat
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-05-01 18:59:13 UTC; dennis
Author: Dennis M. Feehan [aut, cre], Matthew J. Salganik [ths]
Maintainer: Dennis M. Feehan <feehan@berkeley.edu>
Repository: CRAN
Date/Publication: 2016-05-02 06:24:50

More information about surveybootstrap at CRAN
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New package recmap with initial version 0.2.1
Package: recmap
Type: Package
Title: Compute the Rectangular Statistical Cartogram
Version: 0.2.1
Author: Christian Panse
Maintainer: Christian Panse <Christian.Panse@gmail.com>
Description: Provides an interface and a C++ implementation of the RecMap MP2 construction heuristic (see 'citation("recmap")' for details). This algorithm draws maps according to a given statistical value (e. g. election results, population or epidemiological data). The basic idea of the RecMap algorithm is that each map region (e. g. different countries) is represented by a rectangle. The area of each rectangle represents the statistical value given as input . Documentation about 'RecMap' is provided by a vignette included in this package and a 'RecMap gallery' site at <http://cartodraw.science/recmap/gallery>.
License: GPL-3
LazyData: TRUE
Depends: R (>= 3.2), Rcpp (>= 0.12.4)
SystemRequirements: C++11
Suggests: knitr, testthat
LinkingTo: Rcpp (>= 0.12.4)
VignetteBuilder: knitr
NeedsCompilation: yes
URL: http://cartodraw.science/recmap/
Packaged: 2016-05-01 17:36:05 UTC; cp
Repository: CRAN
Date/Publication: 2016-05-02 06:24:49

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Package rcorpora updated to version 1.2.0 with previous version 1.1.1 dated 2015-07-12

Title: A Collection of Small Text Corpora of Interesting Data
Description: A collection of small text corpora of interesting data. It contains all data sets from https://github.com/dariusk/corpora. Some examples: names of animals: birds, dinosaurs, dogs; foods: beer categories, pizza toppings; geography: English towns, rivers, oceans; humans: authors, US presidents, occupations; science: elements, planets; words: adjectives, verbs, proverbs, US president quotes.
Author: Darius Kazemi, Cole Willsea, Matthew Rothenberg, Karl Swedberg, Daniel D. Beck, Javier Arce, Matthew Hokanson, Casey Kolderup, Nathaniel Mitchell, Mark Sample, Nathan Lachenmyer, Aaron Marriner, Greg Kennedy, Greg Borenstein, Peter Organisciak, Rachel White, Tod Robbins, John Wiseman, M. Nowak, Alice Maz, Allison Parrish, Andrew Gorman, Colin Mitchell, David Whitten, Mary Dickson, Michael R. Bernstein, Parker Higgins, Patrick Rodriguez, Ross Barclay, Ross Binden, Ryan Freebern, Justin Alford, Brian Detweiler, Ed Lea, John Ohno, Alexandra Murray, Sean May, Will Hankinson, Brett O'Connor, Brian Jones, Casey Olson, Edward Loveall, Felix Laurie von Massenbach, Garrett Miller, Grant Williamson, Jacob Fauber, Joe Mahoney, Jordan Killpack, Kay Belardinelli, K.Adam White, Kyle McDonald, Andy Dayton, Adam Malantonio, Marcos Wright-Kuhns, Mark Wunsch, Max Bittker, Michael Dewberry, Nathan Black, Noah Kantrowitz, Noah Swartz, Ranjit Bhatnagar, Rob Huzzey, Russell Horton, Vincent Bruijn, Virginia Murdoch, Zac Moody, Scott Grant, Tariq Ali
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package rasclass updated to version 0.2.2 with previous version 0.2.1 dated 2012-01-23

Title: Supervised Raster Image Classification
Description: Software to perform supervised and pixel based raster image classification. It has been designed to facilitate land-cover analysis. Five classification algorithms can be used: Maximum Likelihood Classification, Multinomial Logistic Regression, Neural Networks, Random Forests and Support Vector Machines. The output includes the classified raster and standard classification accuracy assessment such as the accuracy matrix, the overall accuracy and the kappa coefficient. An option for in-sample verification is available.
Author: Daniel Wiesmann <daniel.wiesmann@tecnico.ulisboa.pt> and David Quinn <djq@urbmet.com>
Maintainer: Daniel Wiesmann <daniel.wiesmann@tecnico.ulisboa.pt>

Diff between rasclass versions 0.2.1 dated 2012-01-23 and 0.2.2 dated 2016-05-02

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New package modellingTools with initial version 0.1.0
Package: modellingTools
Type: Package
Title: A Collection of Useful Custom Tools for D&A and Modelling
Version: 0.1.0
Date: 2016-04-07
Authors@R: person("Alex", "Stringer", email = "alex@alexstringer.ca", role = c("aut", "cre"))
URL: http://github.com/awstringer, http://alexstringer.ca
Description: Useful functions for performing common data analysis tasks that I could not find in other packages. For example, flexible functions for discretizing ("binning") continuous variables are included, since this is a common technique used in industry that is not well appreciated in academia. See the vignette for a more detailed high-level explanation, or the documentation for full details.
License: GPL-3
LazyData: TRUE
Imports: dplyr, ggplot2, stringr, foreach, magrittr, scales
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-01 22:12:51 UTC; Alex
Author: Alex Stringer [aut, cre]
Maintainer: Alex Stringer <alex@alexstringer.ca>
Repository: CRAN
Date/Publication: 2016-05-02 06:24:47

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Package lessR updated to version 3.4.8 with previous version 3.4.6 dated 2016-03-28

Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, and a built-in help system. A confirmatory factor analysis of multiple indicator measurement models is available, as are pedagogical routines for data simulation such as for the Central Limit Theorem. Compatible with 'RStudio' and 'knitr' including generation of R markdown instructions for interpretative output.
Author: David W. Gerbing, School of Business Administration, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>

Diff between lessR versions 3.4.6 dated 2016-03-28 and 3.4.8 dated 2016-05-02

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New package generalCorr with initial version 1.0.0
Package: generalCorr
Type: Package
Title: Generalized Correlations and Initial Causal Path
Version: 1.0.0
Date: 2016-04-10
Author: Prof. H. D. Vinod, Fordham University, NY.
Maintainer: H. D. Vinod <vinod@fordham.edu>
Encoding: UTF-8
Depends: R (>= 3.0.0), np (>= 0.60), xtable (>= 1.8), meboot (>= 1.4), psych (>= 1.5)
Suggests: car
Description: Asymmetric generalized correlations r*(x|y) measure strength of the dependence of x on y. If |r*(x|y)|> |r*(y|x)| it suggests that y is more likely the "kernel cause" of x. There are at least two additional ways of comparing two kernel regressions helping identify the `cause'. In simultaneous equation models where endogeneity of regressors is feared, we can use Prof. Koopmans' method to ignore endogeneity problems when it kernel causes the dependent variable. The usual partial correlations can be generalized for the asymmetric matrix of r*'s. Partial correlations help asses effect of x on y after removing the effect of a set of variables. The package provides additional tools for causal assessment, for printing the causal detections in a clear, comprehensive compact summary form, for matrix algebra, for outlier detection, and for numerical integration by the trapezoidal rule, stochastic dominance, etc. The package has a function for bootstrap-based statistical inference and one for a heuristic t-test.
License: GPL (>= 2)
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-01 18:01:15 UTC; hdvinod
Repository: CRAN
Date/Publication: 2016-05-02 06:24:37

More information about generalCorr at CRAN
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Package FunChisq updated to version 2.3.1 with previous version 2.2.4 dated 2016-04-22

Title: Chi-Square and Exact Tests for Non-Parametric Functional Dependencies
Description: Statistical hypothesis testing methods for non-parametric functional dependencies using asymptotic chi-square or exact statistics. These tests were motivated to reveal evidence for causality based on functional dependencies. They include asymptotic functional chi-square tests, an exact functional test, a comparative functional chi-square test, and also a comparative chi-square test. The normalized non-constant functional chi-square test was used by Best Performer NMSUSongLab in HPN-DREAM (DREAM8) Breast Cancer Network Inference Challenges. For continuous data, these tests offer an advantage over regression analysis when a parametric functional form cannot be assumed; for categorical data, they provide a novel means to assess directional dependencies impossible with classical Pearson's chi-square or Fisher's exact tests.
Author: Yang Zhang, Hua Zhong, and Joe Song
Maintainer: Joe Song <joemsong@cs.nmsu.edu>

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 man/FunChisq-package.Rd        |    6 -
 man/cp.fun.chisq.test.Rd       |    2 
 man/fun.chisq.test.Rd          |   54 ++++-----
 man/test.interactions.Rd       |only
 src/ExactFunctionalTest.cpp    |  231 +++++++++++++++++------------------------
 src/ExactFunctionalTest.h      |    5 
 src/RcppExports.cpp            |   14 ++
 src/StatDistributions.cpp      |only
 src/StatDistributions.h        |only
 src/define.h                   |    9 +
 src/funchisq.cpp               |only
 src/main.cpp                   |  150 ++++++++++++++++++++++++--
 tests/testthat/test_FunChisq.R |   87 +++++++++++++++
 vignettes/exact.fun.test.Rmd   |only
 vignettes/fun.chisq.test.Rmd   |   18 +--
 27 files changed, 471 insertions(+), 243 deletions(-)

More information about FunChisq at CRAN
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Package eva updated to version 0.2.2 with previous version 0.2.1 dated 2016-04-05

Title: Extreme Value Analysis with Goodness-of-Fit Testing
Description: Goodness-of-fit tests for selection of r in the r-largest order statistics (GEVr) model. Goodness-of-fit tests for threshold selection in the peaks-over-threshold approach. Random number generation and density functions for the GEVr distribution. Profile likelihood for return level estimation using the GEVr and Generalized Pareto distributions. P-value adjustments for sequential, multiple testing error control.
Author: Brian Bader [aut, cre], Jun Yan [ctb]
Maintainer: Brian Bader <brianbader@mail.com>

Diff between eva versions 0.2.1 dated 2016-04-05 and 0.2.2 dated 2016-05-02

 DESCRIPTION                |   12 ++--
 MD5                        |   48 +++++++++----------
 NAMESPACE                  |    3 -
 R/gevrDiag.R               |    6 +-
 R/gevrEd.R                 |    3 -
 R/gevrFit.R                |   19 +++----
 R/gevrSeqTests.R           |    2 
 R/gpdDiag.R                |    6 +-
 R/gpdFit.R                 |   14 ++---
 R/gpdProfShape.R           |    2 
 R/gpdRl.R                  |    2 
 R/gpdSeqTests.R            |   12 ++--
 inst/doc/introduction.R    |   44 +++++++++++++++--
 inst/doc/introduction.Rmd  |   68 ++++++++++++++++++++++-----
 inst/doc/introduction.html |  113 +++++++++++++++++++++++++++++++--------------
 man/gevrDiag.Rd            |    4 -
 man/gevrEd.Rd              |    2 
 man/gevrFit.Rd             |   11 +---
 man/gevrSeqTests.Rd        |    2 
 man/gpdDiag.Rd             |    4 -
 man/gpdFit.Rd              |    9 +--
 man/gpdProfShape.Rd        |    2 
 man/gpdRl.Rd               |    2 
 man/gpdSeqTests.Rd         |   12 ++--
 vignettes/introduction.Rmd |   68 ++++++++++++++++++++++-----
 25 files changed, 314 insertions(+), 156 deletions(-)

More information about eva at CRAN
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New package description with initial version 1.0.0
Package: description
Title: Manipulate DESCRIPTION Files
Version: 1.0.0
Authors@R: c( person("Gabor", "Csardi",, "csardi.gabor@gmail.com", role = c("aut", "cre")), person("Kirill", "Müller", role = c("aut")))
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>
Description: Tools to read, write, create, and manipulate DESCRIPTION files. It is intended for packages that create or manipulate other packages.
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/metacran/description
BugReports: https://github.com/metacran/description/issues
Depends: R (>= 3.2.0)
Suggests: testthat, whoami
Imports: utils, R6, crayon
Encoding: UTF-8
RoxygenNote: 5.0.1
Collate: 'assertions.R' 'authors-at-r.R' 'classes.R' 'collate.R' 'constants.R' 'deps.R' 'description.R' 'encoding.R' 'latex.R' 'non-oo-api.R' 'read.R' 'str.R' 'syntax_checks.R' 'utils.R' 'validate.R'
NeedsCompilation: no
Packaged: 2016-05-01 21:11:04 UTC; gaborcsardi
Author: Gabor Csardi [aut, cre], Kirill Müller [aut]
Repository: CRAN
Date/Publication: 2016-05-02 06:24:31

More information about description at CRAN
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