Mon, 28 Sep 2015

Package spgwr updated to version 0.6-28 with previous version 0.6-26 dated 2014-12-09

Title: Geographically Weighted Regression
Description: Functions for computing geographically weighted regressions are provided, based on work by Chris Brunsdon, Martin Charlton and Stewart Fotheringham.
Author: Roger Bivand [cre, aut], Danlin Yu [aut], Tomoki Nakaya [ctb], Miquel-Angel Garcia-Lopez [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between spgwr versions 0.6-26 dated 2014-12-09 and 0.6-28 dated 2015-09-28

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Package convoSPAT updated to version 1.0 with previous version 0.1 dated 2015-07-21

Title: Convolution-Based Nonstationary Spatial Modeling
Description: Fits convolution-based nonstationary Gaussian process models to point-referenced spatial data. The nonstationary covariance function allows the user to specify the underlying correlation structure and which spatial dependence parameters should be allowed to vary over space: the anisotropy, nugget variance, and process variance. The parameters are estimated via maximum likelihood, using a local likelihood approach. Also provided are functions to fit stationary spatial models for comparison, calculate the kriging predictor and standard errors, and create various plots to visualize nonstationarity.
Author: Mark D. Risser [aut, cre]
Maintainer: Mark D. Risser <markdrisser@gmail.com>

Diff between convoSPAT versions 0.1 dated 2015-07-21 and 1.0 dated 2015-09-28

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Package classInt updated to version 0.1-23 with previous version 0.1-22 dated 2015-01-06

Title: Choose Univariate Class Intervals
Description: Selected commonly used methods for choosing univariate class intervals for mapping or other graphics purposes.
Author: Roger Bivand [aut, cre], Hisaji Ono [ctb], Richard Dunlap [ctb], Matthieu Stigler [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between classInt versions 0.1-22 dated 2015-01-06 and 0.1-23 dated 2015-09-28

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Package choroplethr updated to version 3.3.0 with previous version 3.2.0 dated 2015-08-26

Title: Simplify the Creation of Choropleth Maps in R
Description: Choropleths are thematic maps where geographic regions, such as states, are colored according to some metric, such as the number of people who live in that state. This package simplifies this process by 1. Providing ready-made functions for creating choropleths of common maps. 2. Providing data and API connections to interesting data sources for making choropleths. 3. Providing a framework for creating choropleths from arbitrary shapefiles. 4. Overlaying those maps over reference maps from Google Maps. Please see the vignettes for more details.
Author: Ari Lamstein <arilamstein@gmail.com>[cre, aut], Brian P Johnson <brian@pjohnson.info> [ctb, frontend animation code]
Maintainer: Ari Lamstein <arilamstein@gmail.com>

Diff between choroplethr versions 3.2.0 dated 2015-08-26 and 3.3.0 dated 2015-09-28

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Package BTLLasso updated to version 0.1-2 with previous version 0.1-1 dated 2015-09-07

Title: Modelling Heterogeneity in Paired Comparison Data
Description: Performs 'BTLLasso', a method to model heterogeneity in paired comparison data. Subject-specific covariates are allowed to have an influence on the attractivity/strength of the objects. An L1 penalty on the pairwise differences between the object-specific parameters allows for both clustering of objects with regard to covariates and elimination of irrelevant covariates.
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther@stat.uni-muenchen.de>

Diff between BTLLasso versions 0.1-1 dated 2015-09-07 and 0.1-2 dated 2015-09-28

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Package splancs updated to version 2.01-38 with previous version 2.01-37 dated 2015-03-18

Title: Spatial and Space-Time Point Pattern Analysis
Description: The Splancs package was written as an enhancement to S-Plus for display and analysis of spatial point pattern data; it has been ported to R and is in "maintenance mode".
Author: Roger Bivand [cre], Barry Rowlingson [aut], Peter Diggle [aut], Giovanni Petris [ctb], Stephen Eglen [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between splancs versions 2.01-37 dated 2015-03-18 and 2.01-38 dated 2015-09-28

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Package spgrass6 updated to version 0.8-8 with previous version 0.8-6 dated 2014-10-14

Title: Interface Between GRASS 6+ Geographical Information System and R
Description: Interpreted interface between GRASS 6+ geographical information system and R, based on starting R from within the GRASS environment, or running free-standing R in a temporary GRASS location; the package provides facilities for using all GRASS commands from the R command line. This package may not be used for GRASS 7, for which spgrass7 should be used.
Author: Roger Bivand [cre, aut], Rainer Krug [ctb], Markus Neteler [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between spgrass6 versions 0.8-6 dated 2014-10-14 and 0.8-8 dated 2015-09-28

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Package scholar updated to version 0.1.3 with previous version 0.1.2 dated 2014-08-22

Title: Analyse Citation Data from Google Scholar
Description: Provides functions to extract citation data from Google Scholar. Convenience functions are also provided for comparing multiple scholars and predicting future h-index values.
Author: James Keirstead <j.keirstead@imperial.ac.uk>
Maintainer: James Keirstead <j.keirstead@imperial.ac.uk>

Diff between scholar versions 0.1.2 dated 2014-08-22 and 0.1.3 dated 2015-09-28

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Package entropart updated to version 1.4.1 with previous version 1.3.3 dated 2015-09-08

Title: Entropy Partitioning to Measure Diversity
Description: Measurement and partitioning of diversity, based on Tsallis entropy.
Author: Eric Marcon, Bruno Herault
Maintainer: Eric Marcon <Eric.Marcon@ecofog.gf>

Diff between entropart versions 1.3.3 dated 2015-09-08 and 1.4.1 dated 2015-09-28

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Package rPlant updated to version 2.11 with previous version 2.7 dated 2013-05-21

Title: Interface to the Agave API
Description: Provides an interface to the the many computational resources iPlant offers through their RESTful application programming interface, see <http://www.iplantcollaborative.org/> for more information about iPlant, and <http://www.iplantcollaborative.org/ci/iplant-science-apis> for its APIs. Currently, 'rPlant' functions interact with the iPlant Agave API, the Taxonomic Name Resolution Service API, and the Phylotastic Taxosaurus API. Before using 'rPlant', users will have to register with the iPlant Collaborative. See <http://agaveapi.co/> for more information on the Agave API and <http://user.iplantcollaborative.org/> to register with iPlant.
Author: Barb Banbury <darwinthesun@gmail.com> and Kurt Michels <kamichels@math.arizona.edu>, Jeremy M. Beaulieu <jeremy.beaulieu@yale.edu>, Brian O'Meara <bomeara@utk.edu>
Maintainer: Kurt Michels <kamichels@math.arizona.edu>

Diff between rPlant versions 2.7 dated 2013-05-21 and 2.11 dated 2015-09-28

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Package internetarchive updated to version 0.1.4 with previous version 0.1.2 dated 2015-03-24

Title: An API Client for the Internet Archive
Description: Search the Internet Archive, retrieve metadata, and download files.
Author: Lincoln Mullen [aut, cre]
Maintainer: Lincoln Mullen <lincoln@lincolnmullen.com>

Diff between internetarchive versions 0.1.2 dated 2015-03-24 and 0.1.4 dated 2015-09-28

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Package wkb updated to version 0.2-0 with previous version 0.1-0 dated 2015-02-28

Title: Convert Between Spatial Objects and Well-Known Binary Geometry
Description: Utility functions to convert between the 'Spatial' classes specified by the package 'sp', and the well-known binary '(WKB)' representation for geometry specified by the Open Geospatial Consortium. Supports 'Spatial' objects of class 'SpatialPoints', 'SpatialPointsDataFrame', 'SpatialLines', 'SpatialLinesDataFrame', 'SpatialPolygons', and 'SpatialPolygonsDataFrame'. Supports 'WKB' geometry types 'Point', 'LineString', 'Polygon', 'MultiPoint', 'MultiLineString', and 'MultiPolygon'. Includes extensions to enable creation of maps with 'TIBCO Spotfire'.
Author: TIBCO Software Inc.
Maintainer: Ian Cook <icook@tibco.com>

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Package rgeos updated to version 0.3-13 with previous version 0.3-12 dated 2015-09-01

Title: Interface to Geometry Engine - Open Source (GEOS)
Description: Interface to Geometry Engine - Open Source (GEOS) using the C API for topology operations on geometries. The GEOS library is external to the package, and, when installing the package from source, must be correctly installed first. Windows and Mac Intel OS X binaries are provided on CRAN.
Author: Roger Bivand [cre, aut], Colin Rundel [aut], Edzer Pebesma [ctb], Karl Ove Hufthammer [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between rgeos versions 0.3-12 dated 2015-09-01 and 0.3-13 dated 2015-09-28

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New package pwrRasch with initial version 0.1-2
Package: pwrRasch
Type: Package
Title: Statistical Power Simulation for Testing the Rasch Model
Version: 0.1-2
Date: 2015-09-28
Authors@R: c(person(given="Takuya", family="Yanagida", email="takuya.yanagida@univie.ac.at", role=c("cre","aut")), person(given="Jan", family="Steinfeld",email="jan.steinfeld@univie.ac.at", role="aut"), person(given=c("Thomas"), family="Kiefer", role="ctb"))
Author: Takuya Yanagida [cre, aut], Jan Steinfeld [aut], Thomas Kiefer [ctb]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>
Description: Statistical power simulation for testing the Rasch Model based on a three-way analysis of variance design with mixed classification.
License: GPL-3
LazyLoad: yes
LazyData: true
Depends: R (>= 3.0)
Suggests: eRm, roxygen2, utils, testthat
NeedsCompilation: no
Packaged: 2015-09-28 15:56:45 UTC; Takuya
Repository: CRAN
Date/Publication: 2015-09-28 18:46:28

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New package purrr with initial version 0.1.0
Package: purrr
Title: Functional Programming Tools
Version: 0.1.0
Authors@R: c( person("Hadley", "Wickham", , "hadley@rstudio.com", c("aut", "cre")), person("Lionel", "Henry", , "lionel.hry@gmail.com", "ctb"), person("RStudio", role = "cph") )
Description: Make your pure functions purr with the 'purrr' package. This package completes R's functional programming tools with missing features present in other programming languages.
License: GPL-3 | file LICENSE
LazyData: true
Imports: magrittr (>= 1.5), Rcpp
Suggests: testthat, dplyr (>= 0.4)
LinkingTo: Rcpp, dplyr, BH
NeedsCompilation: yes
Packaged: 2015-09-28 13:51:45 UTC; hadley
Author: Hadley Wickham [aut, cre], Lionel Henry [ctb], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>
Repository: CRAN
Date/Publication: 2015-09-28 17:19:44

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Package metafor updated to version 1.9-8 with previous version 1.9-7 dated 2015-05-22

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 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 1.9-7 dated 2015-05-22 and 1.9-8 dated 2015-09-28

 DESCRIPTION                                                |   16 
 MD5                                                        |  179 +++--
 NAMESPACE                                                  |    6 
 NEWS                                                       |   71 ++
 R/AIC.rma.r                                                |   27 
 R/BIC.rma.r                                                |   21 
 R/addpoly.default.r                                        |    4 
 R/anova.rma.r                                              |   18 
 R/baujat.rma.mh.r                                          |   16 
 R/baujat.rma.peto.r                                        |    6 
 R/baujat.rma.uni.r                                         |    7 
 R/blup.rma.uni.r                                           |    4 
 R/coef.permutest.rma.uni.r                                 |    2 
 R/coef.summary.rma.r                                       |    4 
 R/confint.rma.mv.r                                         |  406 ++++++++++++-
 R/confint.rma.uni.r                                        |  249 +++++--
 R/cooks.distance.rma.uni.r                                 |    7 
 R/cumul.rma.mh.r                                           |   18 
 R/cumul.rma.peto.r                                         |    6 
 R/cumul.rma.uni.r                                          |    7 
 R/dfbetas.rma.uni.r                                        |    7 
 R/escalc.default.r                                         |   30 
 R/fitstats.rma.r                                           |   32 -
 R/forest.cumul.rma.r                                       |    4 
 R/forest.default.r                                         |    4 
 R/forest.rma.r                                             |    4 
 R/fsn.r                                                    |    4 
 R/funnel.rma.r                                             |    2 
 R/influence.rma.uni.r                                      |    7 
 R/labbe.rma.r                                              |    7 
 R/leave1out.rma.mh.r                                       |   16 
 R/leave1out.rma.peto.r                                     |    6 
 R/leave1out.rma.uni.r                                      |    7 
 R/llplot.r                                                 |    4 
 R/misc.func.hidden.r                                       |  171 ++++-
 R/permutest.rma.uni.r                                      |   10 
 R/predict.rma.r                                            |    4 
 R/print.anova.rma.r                                        |   16 
 R/print.confint.rma.r                                      |    6 
 R/print.infl.rma.uni.r                                     |    3 
 R/print.permutest.rma.uni.r                                |   10 
 R/print.rma.glmm.r                                         |   14 
 R/print.rma.mv.r                                           |   30 
 R/print.rma.uni.r                                          |   14 
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 R/profile.rma.mv.r                                         |  115 +++
 R/profile.rma.uni.r                                        |   12 
 R/radial.rma.r                                             |    2 
 R/ranktest.rma.r                                           |    2 
 R/regtest.rma.r                                            |    4 
 R/rma.glmm.r                                               |  245 ++++---
 R/rma.mh.r                                                 |   33 -
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 R/rstudent.rma.mh.r                                        |   16 
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 man/dat.fine1993.Rd                                        |    7 
 man/dat.konstantopoulos2011.Rd                             |    7 
 man/dat.nielweise2007.Rd                                   |    3 
 man/dat.nielweise2008.Rd                                   |    3 
 man/escalc.Rd                                              |    4 
 man/fitstats.Rd                                            |   24 
 man/forest.rma.Rd                                          |    2 
 man/hc.Rd                                                  |    2 
 man/influence.rma.mv.Rd                                    |    4 
 man/influence.rma.uni.Rd                                   |    4 
 man/permutest.Rd                                           |    6 
 man/predict.rma.Rd                                         |    2 
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 tests/testthat/test_analysis_example_konstantopoulos2011.r |   10 
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 95 files changed, 1827 insertions(+), 791 deletions(-)

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New package iLaplace with initial version 1.0.0
Package: iLaplace
Type: Package
Title: Improved Laplace Approximation for Integrals of Unimodal Functions
Version: 1.0.0
Date: 2015-09-01
Authors@R: c( person("Erlis", "Ruli", email = "erlisr@yahoo.it", role = c("aut", "cre")), person("Nicola", "Sartori", role = "aut"), person("Laura", "Ventura", role = "aut"))
Description: Improved Laplace approximation for integrals of unimodal functions. The method requires user-supplied R functions for: the integrand, its gradient and its Hessian matrix. The computations are run in parallel.
Depends: R (>= 3.2.2)
Imports: doParallel, foreach, iterators, Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: devtools
License: GPL-2
URL: https://github.com/erlisR/iLaplace
BugReports: https://github.com/erlisR/iLaplace/issues
Author: Erlis Ruli [aut, cre], Nicola Sartori [aut], Laura Ventura [aut]
Maintainer: Erlis Ruli <erlisr@yahoo.it>
LazyData: true
NeedsCompilation: yes
Packaged: 2015-09-28 14:59:43 UTC; erlis
Repository: CRAN
Date/Publication: 2015-09-28 17:19:43

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New package covmat with initial version 1.0
Package: covmat
Type: Package
Title: Covariance Matrix Estimation
Version: 1.0
Date: 2015-09-28
Author: Rohit Arora
Maintainer: Rohit Arora <emailrohitarora@gmail.com>
Description: We implement a collection of techniques for estimating covariance matrices. Covariance matrices can be built using missing data. Stambaugh Estimation and FMMC methods can be used to construct such matrices. Covariance matrices can be built by denoising or shrinking the eigenvalues of a sample covariance matrix. Such techniques work by exploiting the tools in Random Matrix Theory to analyse the distribution of eigenvalues. Covariance matrices can also be built assuming that data has many underlying regimes. Each regime is allowed to follow a Dynamic Conditional Correlation model. Robust covariance matrices can be constructed by multivariate cleaning and smoothing of noisy data.
License: Artistic-2.0
Suggests: knitr, knitcitations, roxygen2, quantmod, PortfolioAnalytics, rmgarch
VignetteBuilder: knitr
LazyLoad: yes
Imports: zoo, xts, robust, robustbase, VIM, ggplot2, reshape2, Matrix, parallel, doParallel, fGarch, lhs, scales, gridExtra, optimx, DEoptim, foreach
Depends: mvtnorm, RMTstat, grid
NeedsCompilation: yes
Packaged: 2015-09-28 15:52:21 UTC; Admin
Repository: CRAN
Date/Publication: 2015-09-28 18:46:22

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Package cardioModel updated to version 1.2 with previous version 1.1 dated 2015-09-25

Title: Cardiovascular Safety Exposure-Response Modeling in Early-Phase Clinical Studies
Description: Includes 100 mixed-effects model structures describing the relationship between drug concentration and QT interval, heart rate/pulse rate or blood pressure. Given an exposure-response dataset, the tool fits each model structure to the observed data.
Author: Daniela J Conrado [aut, cre], William S Denney [aut], Gregory J Hather [aut], Danny Chen [ctb]
Maintainer: Daniela J Conrado <danielac@metrumrg.com>

Diff between cardioModel versions 1.1 dated 2015-09-25 and 1.2 dated 2015-09-28

 DESCRIPTION        |    8 ++++----
 MD5                |    4 ++--
 R/21_cardioModel.R |   48 ++++++++++++++++++++++++++----------------------
 3 files changed, 32 insertions(+), 28 deletions(-)

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Package ABCanalysis updated to version 1.1.0 with previous version 1.0.2 dated 2015-06-15

Title: Computed ABC Analysis
Description: For a given data set, the package provides a novel method of computing precise limits to acquire subsets which are easily interpreted. Closely related to the Lorenz curve, the ABC curve visualizes the data by graphically representing the cumulative distribution function. Based on an ABC analysis the algorithm calculates, with the help of the ABC curve, the optimal limits by exploiting the mathematical properties pertaining to distribution of analyzed items. The data containing positive values is divided into three disjoint subsets A, B and C, with subset A comprising very profitable values, i.e. largest data values ("the important few"), subset B comprising values where the yield equals to the effort required to obtain it, and the subset C comprising of non-profitable values, i.e., the smallest data sets ("the trivial many"). Package is based on Ultsch. A ., Lotsch J.: Computed ABC Analysis for rational Selection of most informative Variables in multivariate Data, PLoS One, 2015.
Author: Michael Thrun, Jorn Lotsch, Alfred Ultsch
Maintainer: Michael Thrun <mthrun@mathematik.uni-marburg.de>

Diff between ABCanalysis versions 1.0.2 dated 2015-06-15 and 1.1.0 dated 2015-09-28

 DESCRIPTION                  |    8 ++++----
 MD5                          |   26 +++++++++++++++-----------
 NAMESPACE                    |    4 ++++
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 R/ABCcleanData.R             |   29 ++++-------------------------
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 16 files changed, 83 insertions(+), 74 deletions(-)

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Package rms updated to version 4.4-0 with previous version 4.3-1 dated 2015-04-30

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

Diff between rms versions 4.3-1 dated 2015-04-30 and 4.4-0 dated 2015-09-28

 DESCRIPTION                      |   14 -
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 NAMESPACE                        |   24 +
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 R/Glm.s                          |   18 -
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New package rleafmap with initial version 0.2
Package: rleafmap
Title: Interactive Maps with R and Leaflet
Description: Display spatial data with interactive maps powered by the open-source JavaScript library 'Leaflet' (see <http://leafletjs.com/>). Maps can be rendered in a web browser or displayed in the HTML viewer pane of 'RStudio'. This package is designed to be easy to use and can create complex maps with vector and raster data, web served map tiles and interface elements.
Version: 0.2
Author: Francois Keck <francois.keck@gmail.com>
Maintainer: Francois Keck <francois.keck@gmail.com>
Depends: R (>= 3.0.0)
Imports: knitr (>= 1.5), sp, raster, methods, grDevices, graphics, utils
License: GPL-3
URL: http://www.francoiskeck.fr/rleafmap/, https://github.com/fkeck/rleafmap
Packaged: 2015-09-28 08:52:34 UTC; francois
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-09-28 17:02:35

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Package pdc updated to version 1.0.3 with previous version 1.0.2 dated 2014-11-21

Title: Permutation Distribution Clustering
Description: Permutation Distribution Clustering is a clustering method for time series. Dissimilarity of time series is formalized as the divergence between their permutation distributions. The permutation distribution was proposed as measure of the complexity of a time series.
Author: Andreas M. Brandmaier
Maintainer: Andreas M. Brandmaier <brandmaier@mpib-berlin.mpg.de>

Diff between pdc versions 1.0.2 dated 2014-11-21 and 1.0.3 dated 2015-09-28

 DESCRIPTION              |    9 +++++----
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 NAMESPACE                |   24 +++++++++++++++++++++++-
 NEWS                     |    4 ++++
 inst/CITATION            |   34 +++++++++++++++++++---------------
 man/codebook.Rd          |    7 +++++--
 man/complex.shapes.Rd    |    6 ++++--
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 man/entropy.heuristic.Rd |    9 +++++----
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 man/pdc-package.Rd       |   10 +++++-----
 man/pdc.dist.Rd          |    7 +++++--
 man/pdclust.Rd           |   10 +++++-----
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 man/star.shapes.Rd       |    6 ++++--
 man/trace.image.Rd       |    7 +++++--
 17 files changed, 119 insertions(+), 76 deletions(-)

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Package npIntFactRep updated to version 1.3 with previous version 1.2 dated 2015-02-19

Title: Nonparametric Interaction Tests for Factorial Designs with Repeated Measures
Description: Nonparametric aligned rank tests for interaction in two-way factorial designs, on data set with repeated measures in 'wide' format. There is a choice between 0) CHECK for alignment 1) Aligned REGULAR 2) FRIEDMAN 3) KOCH ranks.
Author: Jos Feys
Maintainer: Jos Feys <jos.feys@faber.kuleuven.be>

Diff between npIntFactRep versions 1.2 dated 2015-02-19 and 1.3 dated 2015-09-28

 DESCRIPTION         |   14 ++--
 MD5                 |    8 +-
 NAMESPACE           |    3 
 R/npIntFactRep.R    |  178 ++++++++++++++++++++++++++++++++++------------------
 man/npIntFactRep.Rd |   51 +++++++++-----
 5 files changed, 163 insertions(+), 91 deletions(-)

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New package frailtySurv with initial version 1.2.1
Title: General Semiparametric Shared Frailty Model
Priority: optional
Type: Package
Package: frailtySurv
Version: 1.2.1
Date: 2015-09-28
Authors@R: c(person("John V. Monaco", role = c("aut", "cre"), email = "vincent@vmonaco.com"), person("Malka Gorfine", role = "aut", email = "gorfinem@post.tau.ac.il"), person("Li Hsu", role = "aut", email = "lih@fredhutch.org"))
Description: Simulates and fits semiparametric shared frailty models under a wide range of frailty distributions using a consistent and asymptotically-normal estimator. Currently supports: gamma, power variance function, log-normal, and inverse Gaussian frailty models.
License: LGPL-2
URL: https://github.com/vmonaco/frailtySurv/
BugReports: https://github.com/vmonaco/frailtySurv/issues
Depends: R (>= 3.0.0), survival
Imports: stats, nleqslv, reshape2, ggplot2, numDeriv
Suggests: knitr, testthat, parallel, gridExtra
NeedsCompilation: yes
LinkingTo: Rcpp
LazyData: Yes
LazyLoad: Yes
ByteCompile: Yes
Repository: CRAN
Packaged: 2015-09-28 13:09:44 UTC; vinnie
Author: John V. Monaco [aut, cre], Malka Gorfine [aut], Li Hsu [aut]
Maintainer: John V. Monaco <vincent@vmonaco.com>
Date/Publication: 2015-09-28 17:02:30

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New package tmlenet with initial version 0.1.0
Package: tmlenet
Title: Targeted Maximum Likelihood Estimation for Network Data
Version: 0.1.0
Authors@R: c( person("Oleg", "Sofrygin", role=c("aut", "cre"), email="oleg.sofrygin@gmail.com"), person(c("Mark", "J."), "van der Laan", role="aut", email="laan@berkeley.edu"))
Description: Estimation of average causal effects for single time point interventions in network-dependent data (e.g., in the presence of spillover and/or interference). Supports arbitrary interventions (static or stochastic). Implemented estimation algorithms are the targeted maximum likelihood estimation (TMLE), the inverse-probability-of-treatment (IPTW) estimator and the parametric G-computation formula estimator. Asymptotically correct influence-curve-based confidence intervals are constructed for the TMLE and IPTW. The data are assumed to consist of rows of unit-specific observations, each row i represented by variables (F.i,W.i,A.i,Y.i), where F.i is a vector of friend IDs of unit i (i's network), W.i is a vector of i's baseline covariates, A.i is i's exposure (can be binary, categorical or continuous) and Y.i is i's binary outcome. Exposure A.i depends on (multivariate) user-specified baseline summary measure(s) sW.i, where sW.i is any function of i's baseline covariates W.i and the baseline covariates of i's friends in F.i. Outcome Y.i depends on sW.i and (multivariate) user-specified summary measure(s) sA.i, where sA.i is any function of i's baseline covariates and exposure (W.i,A.i) and the baseline covariates and exposures of i's friends. The summary measures are defined with functions def.sW and def.sA. See ?'tmlenet-package' for a general overview.
URL: https://github.com/osofr/tmlenet
BugReports: https://github.com/osofr/tmlenet/issues
Depends: R (>= 3.2.0)
Imports: assertthat, data.table, Matrix, methods, R6, Rcpp, simcausal, speedglm, stats, stringr
LinkingTo: Rcpp
Suggests: doParallel, foreach, igraph, knitr, locfit, matrixStats, RUnit
License: GPL-2
LazyData: true
NeedsCompilation: yes
Packaged: 2015-09-28 02:15:34 UTC; olegsofrygin
Author: Oleg Sofrygin [aut, cre], Mark J. van der Laan [aut]
Maintainer: Oleg Sofrygin <oleg.sofrygin@gmail.com>
Repository: CRAN
Date/Publication: 2015-09-28 09:26:59

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Package stylo updated to version 0.6.1 with previous version 0.6.0 dated 2015-08-18

Title: Functions for a Variety of Stylometric Analyses
Description: A number of functions, supplemented by GUI, to perform various analyses in the field of computational stylistics, authorship attribution, etc.
Author: Maciej Eder, Jan Rybicki, Mike Kestemont
Maintainer: Maciej Eder <maciejeder@gmail.com>

Diff between stylo versions 0.6.0 dated 2015-08-18 and 0.6.1 dated 2015-09-28

 DESCRIPTION                |    8 ++++----
 MD5                        |    6 +++---
 R/txt.to.words.ext.R       |    5 ++++-
 man/make.frequency.list.Rd |    2 +-
 4 files changed, 12 insertions(+), 9 deletions(-)

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Package SOPIE updated to version 1.5 with previous version 1.4 dated 2015-06-05

Title: Non-Parametric Estimation of the Off-Pulse Interval of a Pulsar
Description: Provides functions to non-parametrically estimate the off-pulse interval of a source function originating from a pulsar. The technique is based on a sequential application of P-values obtained from goodness-of-fit tests for the uniform distribution, such as the Kolmogorov-Smirnov, Cramer-von Mises, Anderson-Darling and Rayleigh goodness-of-fit tests.
Author: Willem Daniel Schutte
Maintainer: Willem Daniel Schutte <wd.schutte@nwu.ac.za>

Diff between SOPIE versions 1.4 dated 2015-06-05 and 1.5 dated 2015-09-28

 SOPIE-1.4/SOPIE/R/adgoftestpval.R     |only
 SOPIE-1.4/SOPIE/R/adgofteststat.R     |only
 SOPIE-1.4/SOPIE/R/ppvonmises.R        |only
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 SOPIE-1.5/SOPIE/MD5                   |   48 +--
 SOPIE-1.5/SOPIE/NAMESPACE             |    6 
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 SOPIE-1.5/SOPIE/R/CVM_pvall.R         |   55 ++--
 SOPIE-1.5/SOPIE/R/SOPIE.R             |  129 ++-------
 SOPIE-1.5/SOPIE/R/a.estimate.R        |  465 +++++++++++++---------------------
 SOPIE-1.5/SOPIE/R/b.estimate.R        |  464 +++++++++++++--------------------
 SOPIE-1.5/SOPIE/R/circ.kernel.R       |   47 +--
 SOPIE-1.5/SOPIE/R/findh.R             |  179 +++++--------
 SOPIE-1.5/SOPIE/R/von_mises_density.R |    8 
 SOPIE-1.5/SOPIE/R/von_mises_sim.R     |   34 +-
 SOPIE-1.5/SOPIE/data/J1709.rda        |binary
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Package Rssa updated to version 0.13-1 with previous version 0.13 dated 2015-03-03

Title: A Collection of Methods for Singular Spectrum Analysis
Description: Methods and tools for Singular Spectrum Analysis including decomposition, forecasting and gap-filling for univariate and multivariate time series.
Author: Anton Korobeynikov, Alex Shlemov, Konstantin Usevich, Nina Golyandina
Maintainer: Anton Korobeynikov <anton@korobeynikov.info>

Diff between Rssa versions 0.13 dated 2015-03-03 and 0.13-1 dated 2015-09-28

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Package maps updated to version 3.0.0-1 with previous version 3.0.0 dated 2015-09-27

Title: Draw Geographical Maps
Description: Display of maps. Projection code and larger maps are in separate packages ('mapproj' and 'mapdata').
Author: Original S code by Richard A. Becker and Allan R. Wilks. R version by Ray Brownrigg. Enhancements by Thomas P Minka and Alex Deckmyn.
Maintainer: Alex Deckmyn <alex.deckmyn@meteo.be>

Diff between maps versions 3.0.0 dated 2015-09-27 and 3.0.0-1 dated 2015-09-28

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New package MoTBFs with initial version 1.0
Package: MoTBFs
Type: Package
Title: Learning Hybrid Bayesian Networks using Mixtures of Truncated Basis Functions
Version: 1.0
Author: Inmaculada Pérez-Bernabé, Antonio Salmerón
Maintainer: Inmaculada Pérez-Bernabé <iperezbernabe@gmail.com>
Description: Learning, manipulation and evaluation of mixtures of truncated basis functions (MoTBFs), which include mixtures of polynomials (MOPs) and mixtures of truncated exponentials (MTEs). MoTBFs are a flexible framework for modelling hybrid Bayesian networks. The package provides functionality for learning univariate, multivariate and conditional densities, with the possibility of incorporating prior knowledge. Structural learning of hybrid Bayesian networks is also provided. A set of useful tools is provided, including plotting, printing and likelihood evaluation. This package makes use of S3 objects, with two new classes called 'motbf' and 'jointmotbf'.
Depends: R (>= 3.2.0)
Imports: quadprog, lpSolve, bnlearn, methods
Suggests: mnormt
Encoding: UTF-8
License: LGPL-3
NeedsCompilation: yes
Repository: CRAN
Packaged: 2015-09-27 21:00:24 UTC; Inma
Date/Publication: 2015-09-28 09:26:43

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Package cquad updated to version 1.3 with previous version 1.2 dated 2015-07-22

Title: Conditional Maximum Likelihood for Quadratic Exponential Models for Binary Panel Data
Description: Estimation, based on conditional maximum likelihood, of the quadratic exponential model proposed by Bartolucci, F. & Nigro, V. (2010, Econometrica) and of a simplified and a modified version of this model. The quadratic exponential model is suitable for the analysis of binary longitudinal data when state dependence (further to the effect of the covariates and a time-fixed individual intercept) has to be taken into account. Therefore, this is an alternative to the dynamic logit model having the advantage of easily allowing conditional inference in order to eliminate the individual intercepts and then getting consistent estimates of the parameters of main interest (for the covariates and the lagged response). The simplified version of this model does not distinguish, as the original model does, between the last time occasion and the previous occasions. The modified version formulates in a different way the interaction terms and it may be used to test in a easy way state dependence as shown in Bartolucci, F., Nigro, V. & Pigini, C. (2013, Econometric Reviews). The package also includes estimation of the dynamic logit model by a pseudo conditional estimator based on the quadratic exponential model, as proposed by Bartolucci, F. & Nigro, V. (2012, Journal of Econometrics).
Author: Francesco Bartolucci (University of Perugia), Claudia Pigini (University of Ancona "Politecnica delle Marche")
Maintainer: Francesco Bartolucci <francesco.bartolucci@unipg.it>

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Package APSIM updated to version 0.8.2 with previous version 0.8.1 dated 2015-07-13

Title: General Utility Functions for the 'Agricultural Production Systems Simulator'
Description: Contains functions designed to facilitate the loading and transformation of 'Agricultural Production Systems Simulator' output files <https://www.apsim.info>. Input meteorological data (also known as "weather" or "met") files can also be generated from user supplied data.
Author: Justin Fainges
Maintainer: Justin Fainges <Justin.Fainges@csiro.au>

Diff between APSIM versions 0.8.1 dated 2015-07-13 and 0.8.2 dated 2015-09-28

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