Fri, 18 Dec 2015

Package VBLPCM updated to version 2.4.4 with previous version 2.4.3 dated 2014-03-07

Title: Variational Bayes Latent Position Cluster Model for Networks
Description: Fit and simulate latent position and cluster models for network data, using a fast Variational Bayes approximation.
Author: Michael Salter-Townshend
Maintainer: Michael Salter-Townshend <mike.saltertownshend@gmail.com>

Diff between VBLPCM versions 2.4.3 dated 2014-03-07 and 2.4.4 dated 2015-12-18

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Package UpSetR updated to version 1.0.2 with previous version 1.0.1 dated 2015-12-17

Title: A More Scalable Alternative to Venn and Euler Diagrams for Visualizing Intersecting Sets
Description: Creates visualizations of intersecting sets using a novel matrix design, along with visualizations of several common set, element and attribute related tasks.
Author: Jake Conway [cre], Nils Gehlenborg [aut]
Maintainer: Jake Conway <jake_conway@student.uml.edu>

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Package SpatialVx updated to version 0.3 with previous version 0.2-4 dated 2015-06-01

Title: Spatial Forecast Verification
Description: Spatial forecast verification arose from verifying high-resolution forecasts, where coarser-resolution models generally are favored even when a human forecaster finds the higher-resolution model to be considerably better. Most newly proposed methods, which largely come from image analysis, computer vision, and similar, are available, with more on the way.
Author: Eric Gilleland <EricG@ucar.edu>
Maintainer: Eric Gilleland <EricG@ucar.edu>

Diff between SpatialVx versions 0.2-4 dated 2015-06-01 and 0.3 dated 2015-12-18

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Package geosphere updated to version 1.5-1 with previous version 1.4-3 dated 2015-07-01

Title: Spherical Trigonometry
Description: Spherical trigonometry for geographic applications. That is, compute distances and related measures for angular (longitude/latitude) locations.
Author: Robert J. Hijmans [cre, aut], Ed Williams [ctb], Chris Vennes [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between geosphere versions 1.4-3 dated 2015-07-01 and 1.5-1 dated 2015-12-18

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Package directlabels updated to version 2015.12.16 with previous version 2013.6.15 dated 2013-07-22

Title: Direct Labels for Multicolor Plots
Description: An extensible framework for automatically placing direct labels onto multicolor lattice or ggplot2 plots. Label positions are described using Positioning Methods which can be re-used across several different plots. There are heuristics for examining "trellis" and "ggplot" objects and inferring an appropriate Positioning Method.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <tdhock5@gmail.com>

Diff between directlabels versions 2013.6.15 dated 2013-07-22 and 2015.12.16 dated 2015-12-18

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New package binaryLogic with initial version 0.2.6
Package: binaryLogic
Title: Binary Logic
Description: Convert to binary numbers (Base2). Shift, rotate, summary. Based on logical vector.
Version: 0.2.6
Author: Daniel Dörrhöfer <ddo@openmailbox.org>
Maintainer: Daniel Dörrhöfer <ddo@openmailbox.org>
URL: https://github.com/d4ndo/binaryLogic
BugReports: https://github.com/d4ndo/binaryLogic/issues
Depends: R (>= 3.0.2)
Suggests: testthat
License: GPL-3 + file LICENSE
LazyData: true
Encoding: UTF-8
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2015-12-18 14:42:38 UTC; daniel
Repository: CRAN
Date/Publication: 2015-12-18 23:23:52

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Package astrochron updated to version 0.5 with previous version 0.4.3 dated 2015-07-01

Title: A Computational Tool for Astrochronology
Description: Routines for astrochronologic testing, astronomical time scale construction, and time series analysis. Also included are a range of statistical analysis and modeling routines that are relevant to time scale development and paleoclimate analysis.
Author: Stephen Meyers
Maintainer: Stephen Meyers <smeyers@geology.wisc.edu>

Diff between astrochron versions 0.4.3 dated 2015-07-01 and 0.5 dated 2015-12-18

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Package picasso updated to version 0.5.0 with previous version 0.4.7 dated 2015-09-15

Title: Pathwise Calibrated Sparse Shooting Algorithm
Description: Implements the pathwise calibrated sparse shooting algorithm (PICASSO) for high dimensional regularized sparse linear regression, sparse logistic regression, and sparse undirected graphical model estimation. As a pathwise coordinate optimization algorithm, PICASSO exploits warm start initialization, active set updating, and strong rule for coordinate preselection to boost computation, and attains a linear convergence to a unique sparse local optimum with optimal statistical properties. Moreover, users can choose different regularizers, including L1, MCP, and SCAD regularizers. The computation is memory-optimized using the sparse matrix output.
Author: Xingguo Li, Tuo Zhao, Tong Zhang and Han Liu
Maintainer: Xingguo Li <xingguo.leo@gmail.com>

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Package pcadapt updated to version 2.1 with previous version 2.0.1 dated 2015-11-09

Title: Principal Component Analysis for Outlier Detection
Description: Methods to detect genetic markers involved in biological adaptation. 'pcadapt' provides statistical tools for outlier detection based on Principal Component Analysis.
Author: Keurcien Luu, Michael G.B. Blum
Maintainer: Keurcien Luu <keurcien.luu@imag.fr>

Diff between pcadapt versions 2.0.1 dated 2015-11-09 and 2.1 dated 2015-12-18

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Package likeLTD updated to version 6.0.1 with previous version 6.0.0 dated 2015-12-16

Title: Tools to Evaluate DNA Profile Evidence
Description: Tools to determine DNA profile Weight of Evidence. For further information see the likeLTD guide provided, or the paper under citation.
Author: David Balding, Adrian Timpson, Christopher Steele, Mayeul d'Avezac, James Hetherington.
Maintainer: Christopher Steele <c.steele.11@ucl.ac.uk>

Diff between likeLTD versions 6.0.0 dated 2015-12-16 and 6.0.1 dated 2015-12-18

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New package bodenmiller with initial version 0.1
Package: bodenmiller
Type: Package
Title: Profilling of Peripheral Blood Mononuclear Cells using CyTOF
Version: 0.1
Depends: R (>= 3.1.0)
Suggests: ggplot2, dplyr, reshape2, RColorBrewer, knitr, rmarkdown
Authors@R: c(person('Yann','Abraham',email='yann.abraham@gmail.com',role=c('aut','cre')), person('Bernd','Bodenmiller',email='bernd.bodenmiller@imls.uzh.ch',role='aut'))
Description: This data package contains a subset of the Bodenmiller et al, Nat Biotech 2012 dataset for testing single cell, high dimensional analysis and visualization methods.
License: CC0
LazyData: TRUE
URL: https://github.com/yannabraham/bodenmiller
BugReports: https://github.com/yannabraham/bodenmiller/issues
VignetteBuilder: knitr
Packaged: 2015-12-18 14:34:35 UTC; ABRAHYA1
Author: Yann Abraham [aut, cre], Bernd Bodenmiller [aut]
Maintainer: Yann Abraham <yann.abraham@gmail.com>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-12-18 22:45:47

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Package phenex updated to version 1.1-9 with previous version 1.0-7 dated 2014-02-11

Title: Auxiliary Functions for Phenological Data Analysis
Description: Provides some easy-to-use functions for spatial analyses of (plant-) phenological data sets and satellite observations of vegetation.
Author: Lange, Maximilian and Doktor, Daniel
Maintainer: Daniel Doktor <daniel.doktor@ufz.de>

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Package equateIRT updated to version 1.2-2 with previous version 1.2-1 dated 2015-11-26

Title: Direct, Chain and Average Equating Coefficients with Standard Errors Using IRT Methods
Description: Computation of direct, chain and average (bisector) equating coefficients with standard errors using Item Response Theory (IRT) methods for dichotomous items.
Author: Michela Battauz
Maintainer: Michela Battauz <michela.battauz@uniud.it>

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Package confreq updated to version 1.4 with previous version 1.3-1 dated 2015-05-01

Title: Configural Frequencies Analysis Using Log-Linear Modeling
Description: Offers several functions for Configural Frequencies Analysis (CFA), which is a useful statistical tool for the analysis of multiway contingency tables. CFA was introduced by G. A. Lienert as 'Konfigurations Frequenz Analyse - KFA'.
Author: Joerg-Henrik Heine, R.W. Alexandrowicz (function stirling_cfa() ) and intensive package testing by Mark Stemmler
Maintainer: Joerg-Henrik Heine <jhheine@googlemail.com>

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Package needs updated to version 0.0.2 with previous version 0.0.1 dated 2015-12-15

Title: Attaches and Installs Packages
Description: A simple function for easier package loading and auto-installation.
Author: Josh Katz [aut, cre]
Maintainer: Josh Katz <josh.katz@nytimes.com>

Diff between needs versions 0.0.1 dated 2015-12-15 and 0.0.2 dated 2015-12-18

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New package mangoTraining with initial version 1.0-6
Package: mangoTraining
Type: Package
Title: Mango Solutions Training Datasets
Version: 1.0-6
Date: 2015-07-07
Author: Mango Solutions <rin24hours@mango-solutions.com>
Maintainer: Aimee Gott <agott@mango-solutions.com>
Contact: Mango Solutions <rin24hours@mango-solutions.com>
Description: Datasets designed to be used in conjunction with Mango Solutions training materials and the book SAMS Teach Yourself R in 24 Hours (ISBN: 978-0-672-33848-9).
URL: http://www.mango-solutions.com
Depends: R (>= 2.10.0)
License: GPL-2
LazyLoad: yes
LazyData: yes
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2015-12-18 09:45:27 UTC; agott
Repository: CRAN
Date/Publication: 2015-12-18 11:08:07

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Package Hmisc updated to version 3.17-1 with previous version 3.17-0 dated 2015-09-21

Title: Harrell Miscellaneous
Description: Contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, importing and annotating datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of R objects to LaTeX code, and recoding variables.
Author: Frank E Harrell Jr <f.harrell@vanderbilt.edu>, with contributions from Charles Dupont and many others.
Maintainer: Frank E Harrell Jr <f.harrell@vanderbilt.edu>

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Package gimms updated to version 0.4.0 with previous version 0.3.0 dated 2015-11-13

Title: Download and Process GIMMS NDVI3g Data
Description: We provide a set of functions to retrieve information about GIMMS NDVI3g files currently available online; download and re-arrange the bi-monthly datasets according to creation time; import downloaded files from native binary (ENVI) format directly into R based on the widely applied 'raster' package; calculate monthly value composites (e.g. maximum value composites, MVC) from the bi-monthly input data; and derive long-term monotonous trends from the Mann-Kendall trend test, optionally featuring pre-whitening to account for lag-1 autocorrelation.
Author: Florian Detsch [cre, aut]
Maintainer: Florian Detsch <admin@environmentalinformatics-marburg.de>

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Package ggplot2 updated to version 2.0.0 with previous version 1.0.1 dated 2015-03-17

Title: An Implementation of the Grammar of Graphics
Description: An implementation of the grammar of graphics in R. It combines the advantages of both base and lattice graphics: conditioning and shared axes are handled automatically, and you can still build up a plot step by step from multiple data sources. It also implements a sophisticated multidimensional conditioning system and a consistent interface to map data to aesthetic attributes. See http://ggplot2.org for more information, documentation and examples.
Author: Hadley Wickham [aut, cre], Winston Chang [aut], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package CFC updated to version 1.0.0 with previous version 0.7.0 dated 2015-03-12

Title: Cause-Specific Framework for Competing-Risk Analysis
Description: Numerical integration of cause-specific survival curves to arrive at cause-specific cumulative incidence functions, with three usage modes: 1) Convenient API for parametric survival regression followed by competing-risk analysis, 2) API for CFC, accepting user-specified survival functions in R, and 3) Same as 2, but accepting survival functions in C++.
Author: Mansour T.A. Sharabiani, Alireza S. Mahani
Maintainer: Alireza S. Mahani <alireza.s.mahani@gmail.com>

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New package Ultimixt with initial version 2.0
Package: Ultimixt
Type: Package
Title: Bayesian Analysis of a Non-Informative Parametrization for Gaussian Mixture Distributions
Version: 2.0
Date: 2015-12-10
Author: Kaniav Kamary, Kate Lee
Maintainer: Kaniav Kamary <kamary@ceremade.dauphine.fr>
Depends: coda, gtools, graphics, grDevices, stats
Description: A generic reference Bayesian analysis of unidimensional mixtures of Gaussian distributions obtained by a location-scale parameterisation of the model is implemented. Included functions can be applied to produce a Bayesian analysis of Gaussian mixtures with an arbitrary number of components, with no need to define the prior distribution.
License: GPL (>= 2.0)
NeedsCompilation: no
Packaged: 2015-12-17 16:49:57 UTC; kamary
Repository: CRAN
Date/Publication: 2015-12-18 06:43:04

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New package TextoMineR with initial version 1.1
Package: TextoMineR
Type: Package
Title: Textual Statistics
Version: 1.1
Date: 2015-12-17
Author: Monica Becue-Bertaut, Daria M. Hernandez, Belchin Kostov, Josep A. Sanchez
Maintainer: Monica Becue-Bertaut <monica.becue@upc.edu>
Description: Multidimensional statistical methods for textual analysis.
License: GPL (>= 2.0)
Depends: FactoMineR, stringr, tm, gdata, MASS
Packaged: 2015-12-17 21:15:31 UTC; Usuario
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-12-18 06:43:01

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Package SEMID updated to version 0.2 with previous version 0.1 dated 2013-08-16

Title: Identifiability of Linear Structural Equation Models
Description: Provides routines to check identifiability or non-identifiability of linear structural equation models as described in Drton, Foygel & Sullivant (Ann. Statist., 2011) and Foygel, Draisma & Drton (Ann. Statist., 2012). The routines are based on the graphical representation of structural equation models by a path diagram/mixed graph.
Author: Rina Foygel Barber <rina@uchicago.edu>, Mathias Drton <md5@uw.edu>, Luca Weihs <lucaw@uw.edu>.
Maintainer: Mathias Drton <md5@uw.edu>

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Package recommenderlab updated to version 0.1-8 with previous version 0.1-7 dated 2015-07-24

Title: Lab for Developing and Testing Recommender Algorithms
Description: Provides a research infrastructure to test and develop recommender algorithms.
Author: Michael Hahsler [aut, cre, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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New package sankey with initial version 1.0.0
Package: sankey
Title: Sankey Diagrams
Version: 1.0.0
Author: Gabor Csardi, January Weiner
Maintainer: Gabor Csardi <gcsardi@mango-solutions.com>
Description: Sankey plots illustrate the flow of information or material.
License: GPL (>= 2)
LazyData: true
URL: https://github.com/mangothecat/sankey
BugReports: https://github.com/mangothecat/sankey/issues
Suggests: testthat
Imports: simplegraph, utils, graphics, grDevices
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2015-12-17 20:57:12 UTC; gaborcsardi
Repository: CRAN
Date/Publication: 2015-12-18 06:43:38

More information about sankey at CRAN
Permanent link

Package PortfolioEffectHFT updated to version 1.4 with previous version 1.3 dated 2015-11-10

Title: High Frequency Portfolio Analytics by PortfolioEffect
Description: R interface to PortfolioEffect cloud service for backtesting high frequency trading (HFT) strategies, intraday portfolio analysis and optimization. Includes auto-calibrating model pipeline for market microstructure noise, risk factors, price jumps/outliers, tail risk (high-order moments) and price fractality (long memory). Constructed portfolios could use client-side market data or access HF intraday price history for all major US Equities. See https://www.portfolioeffect.com/ for more information on the PortfolioEffect high frequency portfolio analytics platform.
Author: Aleksey Zemnitskiy [aut, cre], Andrey Kostin [aut], Oleg Nechaev [aut], Craig Otis and others [ctb, cph] (OpenFAST library), Daniel Lemire, Muraoka Taro and others [ctb, cph] (JavaFastPFOR library), Joe Walnes, Jorg Schaible and others [ctb, cph] (XStream library), Dain Sundstrom [ctb, cph] (Snappy library), Extreme! Lab, Indiana University [ctb, cph] (XPP3 library), The Apache Software Foundation [ctb, cph] (Apache Log4j and Commons Lang libraries), Google, Inc. [ctb, cph] (GSON library), Free Software Foundation [ctb, cph] (GNU Trove and GNU Crypto libraries)
Maintainer: Aleksey Zemnitskiy <aleksey.zemnitskiy@portfolioeffect.com>

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Package pbdMPI updated to version 0.3-0 with previous version 0.2-5 dated 2014-10-05

Title: Programming with Big Data -- Interface to MPI
Description: An efficient interface to MPI by utilizing S4 classes and methods with a focus on Single Program/Multiple Data ('SPMD') parallel programming style, which is intended for batch parallel execution.
Author: Wei-Chen Chen [aut, cre], George Ostrouchov [aut], Drew Schmidt [aut], Pragneshkumar Patel [aut], Hao Yu [aut], Christian Heckendorf [ctb] (FreeBSD), Brian Ripley [ctb] (Windows HPC Pack 2012), R Core team [ctb] (some functions are modified from the base packages)
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

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Package mosaicData updated to version 0.13.0 with previous version 0.9.1 dated 2014-08-22

Title: Project MOSAIC (mosaic-web.org) data sets
Description: Data sets 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 mosaic updated to version 0.13.0 with previous version 0.12 dated 2015-10-12

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>

Diff between mosaic versions 0.12 dated 2015-10-12 and 0.13.0 dated 2015-12-18

 DESCRIPTION                                                                  |   11 
 MD5                                                                          |  451 +++++-----
 NAMESPACE                                                                    |   19 
 R/Tukey.R                                                                    |    3 
 R/bargraph.R                                                                 |   14 
 R/chisq.R                                                                    |   26 
 R/confint.R                                                                  |  141 ++-
 R/dfapply.R                                                                  |   25 
 R/do.R                                                                       |    5 
 R/favstats.R                                                                 |   23 
 R/fitSpline.R                                                                |    8 
 R/inspect.R                                                                  |only
 R/interval.R                                                                 |   10 
 R/makeFun.R                                                                  |   18 
 R/mplot.R                                                                    |   65 -
 R/nmissing.R                                                                 |only
 R/plotFun.R                                                                  |    2 
 R/plotModel.R                                                                |   14 
 R/pqrdata.R                                                                  |  109 +-
 R/read.file.R                                                                |   40 
 R/resample.R                                                                 |    4 
 R/rescale.R                                                                  |   31 
 R/tally.R                                                                    |  109 +-
 build/vignette.rds                                                           |binary
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 inst/doc/LessVolume-MoreCreativity.html                                      |   30 
 inst/doc/MinimalR.R                                                          |   16 
 inst/doc/MinimalR.Rnw                                                        |   16 
 inst/doc/MinimalR.pdf                                                        |binary
 inst/doc/Resampling.R                                                        |    6 
 inst/doc/Resampling.Rnw                                                      |    6 
 inst/doc/Resampling.pdf                                                      |binary
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 man/Broyden.Rd                                                               |    2 
 man/CIAdata.Rd                                                               |    8 
 man/CIsim.Rd                                                                 |   19 
 man/Calculus.Rd                                                              |   42 
 man/FunctionsFromData.Rd                                                     |    2 
 man/MAD.Rd                                                                   |   10 
 man/MAD_.Rd                                                                  |    2 
 man/MSPE.Rd                                                                  |    2 
 man/TukeyHSD.lm.Rd                                                           |    6 
 man/adapt_seq.Rd                                                             |   11 
 man/aggregating.Rd                                                           |    8 
 man/aggregatingAux.Rd                                                        |    7 
 man/aggregatingFunction1.Rd                                                  |    4 
 man/aggregatingFunction2.Rd                                                  |    2 
 man/as-xtabs.Rd                                                              |    2 
 man/ashplot.Rd                                                               |   12 
 man/bargraph.Rd                                                              |   15 
 man/binom.test.Rd                                                            |   25 
 man/cdist.Rd                                                                 |   10 
 man/chisq.Rd                                                                 |   21 
 man/clustering.Rd                                                            |    4 
 man/coef.Rd                                                                  |    2 
 man/columns.Rd                                                               |    2 
 man/compareMean.Rd                                                           |   12 
 man/compareProportion.Rd                                                     |    4 
 man/confint.Rd                                                               |   59 -
 man/cross.Rd                                                                 |    3 
 man/cull_for_do.Rd                                                           |    6 
 man/defunct-fetch.Rd                                                         |    2 
 man/deg2rad.Rd                                                               |    2 
 man/deltaMethod.Rd                                                           |   45 
 man/derivedFactor.Rd                                                         |   30 
 man/dfapply.Rd                                                               |   21 
 man/diffmean.Rd                                                              |    6 
 man/do.Rd                                                                    |   26 
 man/docFile.Rd                                                               |    2 
 man/dotPlot.Rd                                                               |    4 
 man/dpqrdist.Rd                                                              |    7 
 man/ediff.Rd                                                                 |    8 
 man/evalFormula.Rd                                                           |    2 
 man/evalSubFormula.Rd                                                        |    2 
 man/expandFun.Rd                                                             |    2 
 man/factorize.Rd                                                             |    4 
 man/fav_stats.Rd                                                             |   11 
 man/findZeros.Rd                                                             |   12 
 man/findZerosMult.Rd                                                         |    4 
 man/fitModel.Rd                                                              |   14 
 man/fitSpline.Rd                                                             |   14 
 man/fitdistr.Rd                                                              |    2 
 man/formularise.Rd                                                           |    2 
 man/fortify.Rd                                                               |   16 
 man/fractions.Rd                                                             |    2 
 man/freqpolygon.Rd                                                           |   18 
 man/getVarFormula.Rd                                                         |    8 
 man/googleMap.Rd                                                             |    4 
 man/gwm.Rd                                                                   |   34 
 man/inferArgs.Rd                                                             |    4 
 man/inspect.Rd                                                               |only
 man/integrateODE.Rd                                                          |    4 
 man/interval.Rd                                                              |    6 
 man/is.wholenumber.Rd                                                        |    4 
 man/joinFrames.Rd                                                            |    4 
 man/ladd.Rd                                                                  |   13 
 man/latlon2xyz.Rd                                                            |    6 
 man/linear.algebra.Rd                                                        |    2 
 man/logical2factor.Rd                                                        |    2 
 man/logit.Rd                                                                 |    6 
 man/mPlotting.Rd                                                             |   25 
 man/mUSMap.Rd                                                                |   11 
 man/mWorldMap.Rd                                                             |    6 
 man/makeColorscheme.Rd                                                       |    2 
 man/makeFun.Rd                                                               |   29 
 man/makeMap.Rd                                                               |    2 
 man/mid.Rd                                                                   |    2 
 man/mm.Rd                                                                    |   18 
 man/modelVars.Rd                                                             |    2 
 man/mosaic-internal.Rd                                                       |   12 
 man/mosaic-package.Rd                                                        |   10 
 man/mosaic.options.Rd                                                        |    6 
 man/mosaicformula.Rd                                                         |    8 
 man/mplot.Rd                                                                 |   27 
 man/msummary.Rd                                                              |   11 
 man/n_missing.Rd                                                             |only
 man/named.Rd                                                                 |    2 
 man/nicenames.Rd                                                             |    4 
 man/ntiles.Rd                                                                |    2 
 man/numD.Rd                                                                  |   10 
 man/oddsRatio.Rd                                                             |    6 
 man/panel.levelcontourplot.Rd                                                |    2 
 man/panel.lmbands.Rd                                                         |    6 
 man/panel.plotFun.Rd                                                         |   24 
 man/panel.plotFun1.Rd                                                        |   26 
 man/parseFormula.Rd                                                          |    8 
 man/pdist.Rd                                                                 |    8 
 man/perctable.Rd                                                             |    9 
 man/plotCumfreq.Rd                                                           |    2 
 man/plotDist.Rd                                                              |   35 
 man/plotFun.Rd                                                               |   32 
 man/plotModel.Rd                                                             |    8 
 man/plotPoints.Rd                                                            |    4 
 man/pqrdata.Rd                                                               |   60 -
 man/pqrdata2.Rd                                                              |   16 
 man/project-methods.Rd                                                       |   28 
 man/prop.Rd                                                                  |   26 
 man/prop.test.Rd                                                             |   40 
 man/qdist.Rd                                                                 |   10 
 man/r.squared.Rd                                                             |    2 
 man/rand.Rd                                                                  |    8 
 man/read.file.Rd                                                             |   42 
 man/relm.Rd                                                                  |    2 
 man/repeater-class.Rd                                                        |    4 
 man/resample.Rd                                                              |   12 
 man/rescale.Rd                                                               |   17 
 man/rflip.Rd                                                                 |    2 
 man/rfun.Rd                                                                  |    4 
 man/rgeo-internals.Rd                                                        |    4 
 man/rgeo.Rd                                                                  |   20 
 man/rkintegrate.Rd                                                           |    2 
 man/rspin.Rd                                                                 |    4 
 man/rsquared.Rd                                                              |    2 
 man/rstudio.Rd                                                               |    4 
 man/set.rseed.Rd                                                             |    2 
 man/simplify.Rd                                                              |    2 
 man/sp2df.Rd                                                                 |   13 
 man/standardName.Rd                                                          |   12 
 man/statTally.Rd                                                             |   19 
 man/surround.Rd                                                              |    2 
 man/swap.Rd                                                                  |    8 
 man/symbolicD.Rd                                                             |    4 
 man/symbolicInt.Rd                                                           |    2 
 man/tally.Rd                                                                 |   52 -
 man/theme_map.Rd                                                             |    4 
 man/themes.Rd                                                                |   13 
 man/ttest.Rd                                                                 |   16 
 man/update_ci.Rd                                                             |    2 
 man/xchisq.test.Rd                                                           |   14 
 man/xhistogram.Rd                                                            |   28 
 man/xpnorm.Rd                                                                |   16 
 man/xqqmath.Rd                                                               |    6 
 man/zscore.Rd                                                                |    8 
 tests/testthat/test-binomtest.R                                              |    9 
 tests/testthat/test-pqrdata.R                                                |   25 
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New package Lock5withR with initial version 1.2.0
Package: Lock5withR
Type: Package
Title: Datasets for 'Statistics: Unlocking the Power of Data'
Version: 1.2.0
Date: 2015-12-17
Author: Randall Pruim
Maintainer: Randall Pruim <rpruim@calvin.edu>
Description: Data sets and other utilities for 'Statistics: Unlocking the Power of Data' by Lock, Lock, Lock, Lock and Lock.
License: GPL-2
Suggests: lubridate, lattice, mosaic
LazyLoad: yes
LazyData: yes
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2015-12-17 23:48:10 UTC; rpruim
Repository: CRAN
Date/Publication: 2015-12-18 06:42:46

More information about Lock5withR at CRAN
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Package granovaGG updated to version 1.4.0 with previous version 1.3 dated 2015-01-01

Title: Graphical Analysis of Variance Using ggplot2
Description: This collection of functions in 'granovaGG' provides what we call elemental graphics for display of anova results. The term elemental derives from the fact that each function is aimed at construction of graphical displays that afford direct visualizations of data with respect to the fundamental questions that drive the particular anova methods. This package represents a modification of the original granova package; the key change is to use 'ggplot2', Hadley Wickham's package based on Grammar of Graphics concepts (due to Wilkinson). The main function is granovagg.1w() (a graphic for one way ANOVA); two other functions (granovagg.ds() and granovagg.contr()) are to construct graphics for dependent sample analyses and contrast-based analyses respectively. (The function granova.2w(), which entails dynamic displays of data, is not currently part of 'granovaGG'.) The 'granovaGG' functions are to display data for any number of groups, regardless of their sizes (however, very large data sets or numbers of groups can be problematic). For granovagg.1w() a specialized approach is used to construct data-based contrast vectors for which anova data are displayed. The result is that the graphics use a straight line to facilitate clear interpretations while being faithful to the standard effect test in anova. The graphic results are complementary to standard summary tables; indeed, numerical summary statistics are provided as side effects of the graphic constructions. granovagg.ds() and granovagg.contr() provide graphic displays and numerical outputs for a dependent sample and contrast-based analyses. The graphics based on these functions can be especially helpful for learning how the respective methods work to answer the basic question(s) that drive the analyses. This means they can be particularly helpful for students and non-statistician analysts. But these methods can be of assistance for work-a-day applications of many kinds, as they can help to identify outliers, clusters or patterns, as well as highlight the role of non-linear transformations of data. In the case of granovagg.1w() and granovagg.ds() several arguments are provided to facilitate flexibility in the construction of graphics that accommodate diverse features of data, according to their corresponding display requirements. See the help files for individual functions.
Author: Brian A. Danielak <brian@briandk.com>, Robert M. Pruzek <RMPruzek@yahoo.com>, with contributions from: William E. J. Doane <wil@DrDoane.com>, James E. Helmreich <James.Helmreich@Marist.edu>, Jason Bryer <jason@bryer.org>
Maintainer: Brian A. Danielak <brian@briandk.com>

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Package fastR updated to version 0.10.2 with previous version 0.10 dated 2015-05-23

Title: Foundations and Applications of Statistics Using R
Description: Data sets and utilities to accompany "Foundations and Applications of Statistics: an Introduction using R" (R Pruim, published by AMS, 2011), a text covering topics from probability and mathematical statistics at an advanced undergraduate level. R is integrated throughout, and access to all the R code in the book is provided via the snippet function.
Author: Randall Pruim
Maintainer: Randall Pruim <rpruim@calvin.edu>

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Package extRemes updated to version 2.0-7 with previous version 2.0-6 dated 2015-08-27

Title: Extreme Value Analysis
Description: Functions for performing extreme value analysis.
Author: Eric Gilleland
Maintainer: Eric Gilleland <ericg@ucar.edu>

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Package DJL updated to version 1.8 with previous version 1.7 dated 2015-11-17

Title: Distance Measure Based Judgment and Learning
Description: Implements various decision support tools related to the new product development. Subroutines include combinatorial search (all possible subset regression), productivity evaluation using distance measures: DDF (directional distance function), DEA (data envelopment analysis), SBM (slack-based measure), and SF (shortage function), benchmarking, risk analysis, technology adoption model, new product target setting, etc.
Author: Dong-Joon Lim, PhD
Maintainer: Dong-Joon Lim <tgno3.com@gmail.com>

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Package clhs updated to version 0.5-5 with previous version 0.5-4 dated 2014-09-18

Title: Conditioned Latin Hypercube Sampling
Description: 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 <roudierp@landcareresearch.co.nz>

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