Thu, 12 May 2016

Package rscala updated to version 1.0.11 with previous version 1.0.9 dated 2016-03-12

Title: Bi-Directional Interface Between R and Scala with Callbacks
Description: The Scala interpreter is embedded in R and callbacks to R from the embedded interpreter are supported. Conversely, the R interpreter is embedded in Scala. Scala versions 2.10 and 2.11 are supported.
Author: David B. Dahl [aut, cre], Scala developers [ctb] (see http://scala-lang.org/)
Maintainer: David B. Dahl <dahl@stat.byu.edu>

Diff between rscala versions 1.0.9 dated 2016-03-12 and 1.0.11 dated 2016-05-12

 rscala-1.0.11/rscala/DESCRIPTION                         |   10 +++++-----
 rscala-1.0.11/rscala/MD5                                 |   15 +++++++--------
 rscala-1.0.11/rscala/NEWS                                |   12 +++++++++++-
 rscala-1.0.11/rscala/R/scalaInterpreter.R                |    7 ++-----
 rscala-1.0.11/rscala/inst/java/rscala_2.10-1.0.11.jar    |only
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 13 files changed, 25 insertions(+), 19 deletions(-)

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New package pewdata with initial version 0.1.0
Package: pewdata
Type: Package
Title: Reproducible Retrieval of Pew Research Center Datasets
Version: 0.1.0
Date: 2016-05-08
Authors@R: c( person("Frederick", "Solt", email = "frederick-solt@uiowa.edu", role = c("aut", "cre")), person("Eric", "Persson", email = "expersso5@gmail.com", role = c("ctb")))
Description: Reproducible, programmatic retrieval of survey datasets from the Pew Research Center.
License: MIT + file LICENSE
LazyData: TRUE
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: RSelenium
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-12 14:29:23 UTC; fredsolt
Author: Frederick Solt [aut, cre], Eric Persson [ctb]
Maintainer: Frederick Solt <frederick-solt@uiowa.edu>
Repository: CRAN
Date/Publication: 2016-05-13 01:15:15

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Package covafillr updated to version 0.3.0 with previous version 0.2.1 dated 2016-02-23

Title: Local Polynomial Regression of State Dependent Covariates in State-Space Models
Description: Facilitates local polynomial regression for state dependent covariates in state-space models. The functionality can also be used from 'C++' based model builder tools such as 'Rcpp'/'inline', 'TMB', or 'JAGS'.
Author: Christoffer Moesgaard Albertsen [aut, cre]
Maintainer: Christoffer Moesgaard Albertsen <cmoe@aqua.dtu.dk>

Diff between covafillr versions 0.2.1 dated 2016-02-23 and 0.3.0 dated 2016-05-12

 DESCRIPTION                                                     |    8 
 MD5                                                             |   39 ++--
 NEWS                                                            |only
 R/covafill.R                                                    |   37 +++-
 R/covatree.R                                                    |    6 
 R/loadJAGSModule.R                                              |    2 
 README.md                                                       |   62 +++---
 configure                                                       |   80 +++++---
 configure.ac                                                    |   64 +++----
 configure.win                                                   |   86 +++++----
 inst/examples/ssmtest/ssmtest.R                                 |    2 
 inst/include/covafill/dox/Doxyfile                              |    2 
 inst/include/covafill/dox/mainpage.md                           |   17 +
 inst/include/covafill/src/Core/covafill.hpp                     |    3 
 inst/include/covafill/src/Core/covafill_operators.hpp           |   90 +++++++++-
 inst/include/covafill/src/Interpolate/unicubicInterpolation.hpp |   24 ++
 inst/include/covafill/src/macros.hpp                            |    6 
 man/covafill-class.Rd                                           |    4 
 man/covatree-class.Rd                                           |    3 
 man/loadJAGSModule.Rd                                           |    2 
 src/headers/fill.hpp                                            |   43 ++++
 21 files changed, 405 insertions(+), 175 deletions(-)

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New package HMVD with initial version 1.0
Package: HMVD
Type: Package
Title: Group Association Test using a Hidden Markov Model
Version: 1.0
Date: 2016-05-12
Author: Yichen Cheng
Maintainer: Yichen Cheng <ycheng@fredhutch.org>
Description: Perform association test between a group of variable and the outcome.
License: GPL-3
Depends: MASS
NeedsCompilation: no
Packaged: 2016-05-12 21:51:31 UTC; ycheng
Repository: CRAN
Date/Publication: 2016-05-13 01:18:58

More information about HMVD at CRAN
Permanent link

Package switchr updated to version 0.10.13 with previous version 0.9.19 dated 2015-09-17

Title: Installing, Managing, and Switching Between Distinct Sets of Installed Packages
Description: Provides an abstraction for managing, installing, and switching between sets of installed R packages. This allows users to maintain multiple package libraries simultaneously, e.g. to maintain strict, package-version-specific reproducibility of many analyses, or work within a development/production release paradigm. Introduces a generalized package installation process which supports multiple repository and non-repository sources and tracks package provenance.
Author: Gabriel Becker[aut, cre]
Maintainer: Gabriel Becker <becker.gabriel@gene.com>

Diff between switchr versions 0.9.19 dated 2015-09-17 and 0.10.13 dated 2016-05-12

 switchr-0.10.13/switchr/DESCRIPTION                    |   13 
 switchr-0.10.13/switchr/MD5                            |  204 ++++++-----
 switchr-0.10.13/switchr/NAMESPACE                      |    5 
 switchr-0.10.13/switchr/NEWS                           |  291 +++++++++++++----
 switchr-0.10.13/switchr/R/AllClasses.R                 |   15 
 switchr-0.10.13/switchr/R/GitFunctions.R               |   32 +
 switchr-0.10.13/switchr/R/SVNFunctions.R               |   28 +
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 switchr-0.10.13/switchr/R/accessors.R                  |  102 +++++
 switchr-0.10.13/switchr/R/annotateDESCs.R              |    4 
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Package sads updated to version 0.3.1 with previous version 0.2.4 dated 2015-11-03

Title: Maximum Likelihood Models for Species Abundance Distributions
Description: Maximum likelihood tools to fit and compare models of species abundance distributions and of species rank-abundance distributions.
Author: Paulo I. Prado, Murilo Dantas Miranda and Andre Chalom
Maintainer: Paulo I. Prado <prado@ib.usp.br>

Diff between sads versions 0.2.4 dated 2015-11-03 and 0.3.1 dated 2016-05-12

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 sads-0.3.1/sads/NAMESPACE                 |   25 ++--
 sads-0.3.1/sads/NEWS                      |   15 ++
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Package RFormatter updated to version 0.1.1 with previous version 0.1.0 dated 2015-10-06

Title: R Source Code Formatter
Description: The R Formatter formats R source code. It is very much based on formatR, but tries to improve it by heuristics. For example, spaces can be forced around the division operator "/".
Author: Benjamin Fischer [aut, cre]
Maintainer: Benjamin Fischer <benjamin.fischer@evolutics.info>

Diff between RFormatter versions 0.1.0 dated 2015-10-06 and 0.1.1 dated 2016-05-12

 DESCRIPTION                 |    7 ++++---
 MD5                         |   13 +++++++------
 NAMESPACE                   |    2 +-
 NEWS.md                     |only
 R/format_R_source_code.R    |   16 ++++++++++++++--
 README.md                   |   14 +++++++++++---
 man/format_R_source_code.Rd |    8 +++++---
 tests/testthat/cases.csv    |    2 ++
 8 files changed, 44 insertions(+), 18 deletions(-)

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Package MGSDA updated to version 1.3 with previous version 1.2 dated 2015-09-01

Title: Multi-Group Sparse Discriminant Analysis
Description: Implements Multi-Group Sparse Discriminant Analysis proposal of I.Gaynanova, J.Booth and M.Wells (2015), Simultaneous sparse estimation of canonical vectors in the p>>N setting, JASA, to appear.
Author: Irina Gaynanova
Maintainer: Irina Gaynanova <irinag@stat.tamu.edu>

Diff between MGSDA versions 1.2 dated 2015-09-01 and 1.3 dated 2016-05-12

 DESCRIPTION           |   10 +-
 MD5                   |   18 ++---
 R/classifyV.R         |   62 +++++++++---------
 R/cv.dLDA.R           |  171 +++++++++++++++++++++++++++++---------------------
 R/dLDA.R              |   38 ++++++-----
 man/MGSDA-package.Rd  |    8 +-
 man/classifyV.Rd      |    2 
 man/cv.dLDA.Rd        |   10 +-
 man/dLDA.Rd           |   12 ++-
 src/solveVcoordf2st.c |   32 +++++++++
 10 files changed, 223 insertions(+), 140 deletions(-)

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Package KoulMde updated to version 2.0 with previous version 1.1 dated 2016-04-21

Title: Koul's Minimum Distance Estimation in Linear Regression and Autoregression Model
Description: Consider linear regression model and autoregressive model of order p where errors in the linear regression model and innovations in the autoregression model are independent and symmetrically distributed. Hira L. Koul proposed a nonparametric minimum distance estimation method by minimizing L2-type distance between certain weighted residual empirical distribution functions. He also proposed a simpler version of the loss function by using symmetry of the integrating measure in the distance. This package contains three functions: KoulLrMde(), KoulArMde(), and Koul2StageMDE(). KoulLrMde() and KoulArMde() provide minimum distance estimators for linear regression model and autoregression model, respectively, where both are based on Koul's method. These two functions take much less time for the computation than those based on parametric minimum distance estimation methods. Koul2StageMDE() provides estimators for regression and autoregressive coefficients of linear regression model with autoregressive errors through minimum distant method of two stages.
Author: Jiwoong Kim [aut, cre]
Maintainer: Jiwoong Kim <kimjiwo2@stt.msu.edu>

Diff between KoulMde versions 1.1 dated 2016-04-21 and 2.0 dated 2016-05-12

 DESCRIPTION          |    8 ++--
 MD5                  |   11 +++--
 NAMESPACE            |    1 
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New package DengueRT with initial version 1.0.1
Package: DengueRT
Type: Package
Title: Parameter Estimates and Real-Time Prediction of a Single Dengue Outbreak
Version: 1.0.1
Date: 2016-04-19
Author: Carlos Sebrango, Lizet Sanchez, Ziv Shkedy, Ewoud De Troyer
Maintainer: Carlos Sebrango <sebrango@uniss.edu.cu>
Description: Provides functions for parameter estimation and real-time predictions of a single dengue outbreak taking into account model uncertainty using model averaging.
LazyData: true
Depends: R (>= 2.10), ggplot2, nlme, drc
License: GPL-3
Repository: CRAN
Repository/R-Forge/Project: dengueparmest
Repository/R-Forge/Revision: 10
Repository/R-Forge/DateTimeStamp: 2016-05-12 13:58:47
Date/Publication: 2016-05-13 00:50:06
NeedsCompilation: no
Packaged: 2016-05-12 14:05:08 UTC; rforge

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Package CBPS updated to version 0.11 with previous version 0.10 dated 2015-09-21

Title: Covariate Balancing Propensity Score
Description: Implements the covariate balancing propensity score (CBPS) proposed by Imai and Ratkovic (2014) <DOI:10.1111/rssb.12027>. The propensity score is estimated such that it maximizes the resulting covariate balance as well as the prediction of treatment assignment. The method, therefore, avoids an iteration between model fitting and balance checking. The package also implements several extensions of the CBPS beyond the cross-sectional, binary treatment setting. The current version implements the CBPS for longitudinal settings so that it can be used in conjunction with marginal structural models from Imai and Ratkovic (2015) <DOI:10.1080/01621459.2014.956872>, treatments with three- and four-valued treatment variables, continuous-valued treatments from Fong, Hazlett, and Imai (2015) <http://imai.princeton.edu/research/files/CBGPS.pdf>, and the situation with multiple distinct binary treatments administered simultaneously. In the future it will be extended to other settings including the generalization of experimental and instrumental variable estimates. Recently add the optimal CBPS which chooses the optimal balancing function and results in doubly robust and efficient estimator for the treatment effect.
Author: Christian Fong <christianfong@stanford.edu>, Marc Ratkovic <ratkovic@princeton.edu>, Chad Hazlett <chazlett@ucla.edu>, Xiaolin Yang <xiaoliny@princeton.edu>, Kosuke Imai <kimai@princeton.edu>
Maintainer: Christian Fong <christianfong@stanford.edu>

Diff between CBPS versions 0.10 dated 2015-09-21 and 0.11 dated 2016-05-12

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Package archivist updated to version 2.0.4 with previous version 2.0.3 dated 2016-03-07

Title: Tools for Storing, Restoring and Searching for R Objects
Description: Data exploration and modelling is a process in which a lot of data artifacts are produced. Artifacts like: subsets, data aggregates, plots, statistical models, different versions of data sets and different versions of results. The more projects we work with the more artifacts are produced and the harder it is to manage these artifacts. Archivist helps to store and manage artifacts created in R. Archivist allows you to store selected artifacts as a binary files together with their metadata and relations. Archivist allows to share artifacts with others, either through shared folder or github. Archivist allows to look for already created artifacts by using it's class, name, date of the creation or other properties. Makes it easy to restore such artifacts. Archivist allows to check if new artifact is the exact copy that was produced some time ago. That might be useful either for testing or caching.
Author: Przemyslaw Biecek [aut, cre], Marcin Kosinski [aut], Witold Chodor [ctb]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between archivist versions 2.0.3 dated 2016-03-07 and 2.0.4 dated 2016-05-12

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Package vardpoor updated to version 0.6.3 with previous version 0.6.2 dated 2016-05-10

Title: Variance Estimation for Sample Surveys by the Ultimate Cluster Method
Description: Generation of domain variables, linearisation of several nonlinear population statistics (the ratio of two totals, weighted income percentile, relative median income ratio, at-risk-of-poverty rate, at-risk-of-poverty threshold, Gini coefficient, gender pay gap, the aggregate replacement ratio, the relative median income ratio, median income below at-risk-of-poverty gap, income quintile share ratio, relative median at-risk-of-poverty gap), computation of regression residuals in case of weight calibration, variance estimation of sample surveys by the ultimate cluster method (Hansen, Hurwitz and Madow, 1953), variance estimation for longitudinal, cross-sectional measures and measures of change for single and multistage stage cluster sampling designs (Berger, Y.G.). Several other precision measures are derived - standard error, the coefficient of variation, the margin of error, confidence interval, design effect.
Author: Juris Breidaks [aut, cre], Martins Liberts [aut], Santa Ivanova [aut]
Maintainer: Juris Breidaks <Juris.Breidaks@csb.gov.lv>

Diff between vardpoor versions 0.6.2 dated 2016-05-10 and 0.6.3 dated 2016-05-12

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New package spduration with initial version 0.15.1
Package: spduration
Title: Split-Population Duration (Cure) Regression
Version: 0.15.1
Date: 2016-05-11
Authors@R: c( person("Andreas", "Beger", role = c("aut", "cre"), email = "adbeger@gmail.com"), person("Daina", "Chiba", role = c("aut"), email = "dchiba@essex.ac.uk"), person("Daniel", "Hill", role = c("aut"), email = "dwhill@uga.edu"), person("Nils", "Metternich", role = c("aut"), email = "n.metternich@ucl.ac.uk"), person("Shahryar", "Minhas", role = c("aut"), email = "hermes829@gmail.com"), person("Michael", "Ward", role = c("cph"), email = "michael.don.ward@gmail.com") )
Description: Functions for estimating split-duration regression models and various associated generic function methods.
Depends: R (>= 3.1.2)
License: GPL-3
LazyData: true
Imports: corpcor, graphics, plyr, MASS, separationplot, stats, Rcpp (>= 0.11.0), xtable
Suggests: testthat
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-05-11 16:13:51 UTC; andybega
Author: Andreas Beger [aut, cre], Daina Chiba [aut], Daniel Hill [aut], Nils Metternich [aut], Shahryar Minhas [aut], Michael Ward [cph]
Maintainer: Andreas Beger <adbeger@gmail.com>
Repository: CRAN
Date/Publication: 2016-05-12 15:15:16

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New package sound with initial version 1.4.4
Package: sound
Version: 1.4.4
Date: 2016-05-12
Title: A Sound Interface for R
Author: Matthias Heymann <mail@MatthiasHeymann.de>
Maintainer: Stefan Langenberg <langenberg@uni-bonn.de>
Depends: R (>= 2.1.14)
Description: Basic functions for dealing with wav files and sound samples.
License: GPL (>= 2)
URL: http://www.MatthiasHeymann.de
Packaged: 2016-05-12 12:33:57 UTC; stefan
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-05-12 15:15:14

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New package SAMM with initial version 0.0
Package: SAMM
Type: Package
Title: Some Algorithms for Mixed Models
Version: 0.0
Date: 2016-05-11
Author: Deniz Akdemir
Maintainer: Deniz Akdemir <deniz.akdemir.work@gmail.com>
Description: Programs for fitting Gaussian linear mixed models (LMM).
License: GPL-3
Imports: Rcpp (>= 0.12.4)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2016-05-12 13:28:32 UTC; denizakdemir
Repository: CRAN
Date/Publication: 2016-05-12 16:24:49

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Package mcga updated to version 3.0.1 with previous version 3.0 dated 2016-03-24

Title: Machine Coded Genetic Algorithms for Real-Valued Optimization Problems
Description: Machine coded genetic algorithm (MCGA) is a fast tool for real-valued optimization problems. It uses the byte representation of variables rather than real-values. It performs the classical crossover operations (uniform) on these byte representations. Mutation operator is also similar to classical mutation operator, which is to say, it changes a randomly selected byte value of a chromosome by +1 or -1 with probability 1/2. In MCGAs there is no need for encoding-decoding process and the classical operators are directly applicable on real-values. It is fast and can handle a wide range of a search space with high precision. Using a 256-unary alphabet is the main disadvantage of this algorithm but a moderate size population is convenient for many problems. Package also includes multi_mcga function for multi objective optimization problems. This function sorts the chromosomes using their ranks calculated from the non-dominated sorting algorithm.
Author: Mehmet Hakan Satman
Maintainer: Mehmet Hakan Satman <mhsatman@istanbul.edu.tr>

Diff between mcga versions 3.0 dated 2016-03-24 and 3.0.1 dated 2016-05-12

 DESCRIPTION   |    8 ++++----
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New package opencage with initial version 0.1.0
Package: opencage
Type: Package
Title: Interface to the OpenCage API
Version: 0.1.0
Authors@R: c(person("Maëlle", "Salmon", email = "maelle.salmon@yahoo.se", role = c("aut", "cre")), person("Noam", "Ross", role = "ctb"), person("Julia", "Silge", role = c("ctb","rev"), comment = "Julia Silge reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/36."))
Description: Tool for accessing the OpenCage API, which provides forward geocoding (from placename to longitude and latitude) and reverse geocoding (from longitude and latitude to placename).
License: GPL (>= 2)
LazyData: TRUE
URL: http://github.com/ropenscilabs/opencage
BugReports: http://github.com/ropenscilabs/opencage/issues
Imports: httr, jsonlite, dplyr, memoise
RoxygenNote: 5.0.1
Suggests: testthat, lintr, knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2016-05-12 12:07:48 UTC; msalmon
Author: Maëlle Salmon [aut, cre], Noam Ross [ctb], Julia Silge [ctb] (Julia Silge reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/36.)
Maintainer: Maëlle Salmon <maelle.salmon@yahoo.se>
Repository: CRAN
Date/Publication: 2016-05-12 15:15:13

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New package extremeStat with initial version 0.5.16
Package: extremeStat
Type: Package
Title: Extreme Value Statistics and Quantile Estimation
Version: 0.5.16
Date: 2016-05-12
Imports: lmomco (>= 2.2.2), berryFunctions (>= 1.10.0), pbapply, grDevices, graphics, methods, stats, utils, evir, ismev, fExtremes, extRemes, evd, Renext
Author: Berry Boessenkool
Maintainer: Berry Boessenkool <berry-b@gmx.de>
Description: Code to fit, plot and compare several (extreme value) distribution functions. Can also compute (truncated) distribution quantile estimates and draw a plot with return periods on a linear scale.
License: GPL-3
URL: https://github.com/brry/extremeStat
RoxygenNote: 5.0.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-05-12 10:33:08 UTC; berry
Repository: CRAN
Date/Publication: 2016-05-12 15:15:11

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Package spTest updated to version 0.2.4 with previous version 0.2.3 dated 2015-11-10

Title: Nonparametric Hypothesis Tests of Isotropy and Symmetry
Description: Implements nonparametric hypothesis tests to check isotropy and symmetry properties for two-dimensional spatial data.
Author: Zachary Weller [aut, cre]
Maintainer: Zachary Weller <wellerz@stat.colostate.edu>

Diff between spTest versions 0.2.3 dated 2015-11-10 and 0.2.4 dated 2016-05-12

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Package robustloggamma updated to version 1.0-1 with previous version 0.4-31 dated 2015-02-06

Title: Robust Estimation of the Generalized log Gamma Model
Description: Robust estimation of the generalized log gamma model is provided using Quantile Tau estimator, Weighted Likelihood estimator and Truncated Maximum Likelihood estimator. Functions for regression and censored data are also available.
Author: Claudio Agostinelli <claudio.agostinelli@unitn.it>, Alfio Marazzi <Alfio.Marazzi@chuv.ch>, Victor Yohai <vyohai@uolsinectis.com.ar> and Alex Randriamiharisoa <Alex.Randriamiharisoa@chuv.ch>
Maintainer: Claudio Agostinelli <claudio.agostinelli@unitn.it>

Diff between robustloggamma versions 0.4-31 dated 2015-02-06 and 1.0-1 dated 2016-05-12

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Package roahd updated to version 1.1 with previous version 1.0 dated 2016-04-16

Title: Robust Analysis of High Dimensional Data
Description: A collection of methods for the robust analysis of univariate and multivariate functional data, possibly in high-dimensional cases, and hence with attention to computational efficiency and simplicity of use.
Author: Nicholas Tarabelloni [aut, cre], Ana Arribas-Gil [aut], Francesca Ieva [aut], Anna Maria Paganoni [aut], Juan Romo [aut]
Maintainer: Nicholas Tarabelloni <nicholas.tarabelloni@polimi.it>

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Package rnrfa updated to version 0.5.3 with previous version 0.5.1 dated 2016-03-09

Title: UK National River Flow Archive Data from R
Description: Utility functions to retrieve data from the UK National River Flow Archive. The package contains R wrappers to the UK NRFA data temporary-API. There are functions to retrieve stations falling in a bounding box, to generate a map and extracting time series and general information.
Author: Claudia Vitolo [aut, cre], Matthew Fry [ctb], Wouter Buytaert [ctb]
Maintainer: Claudia Vitolo <cvitolodev@gmail.com>

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Package rgdal updated to version 1.1-10 with previous version 1.1-9 dated 2016-05-08

Title: Bindings for the Geospatial Data Abstraction Library
Description: Provides bindings to Frank Warmerdam's Geospatial Data Abstraction Library (GDAL) (>= 1.6.3) and access to projection/transformation operations from the PROJ.4 library. The GDAL and PROJ.4 libraries are external to the package, and, when installing the package from source, must be correctly installed first. Both GDAL raster and OGR vector map data can be imported into R, and GDAL raster data and OGR vector data exported. Use is made of classes defined in the sp package. Windows and Mac Intel OS X binaries (including GDAL, PROJ.4 and Expat) are provided on CRAN.
Author: Roger Bivand [cre, aut], Tim Keitt [aut], Barry Rowlingson [aut], Edzer Pebesma [ctb], Michael Sumner [ctb], Robert Hijmans [ctb], Even Rouault [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package pubprint updated to version 0.2 with previous version 0.1.1 dated 2016-01-28

Title: Printing Results of Statistical Computing in a Publishable Way
Description: Takes the output of statistical tests and transforms it in a publish-friendly pattern. Currently only APA (American Psychological Association) style is supported with output to HTML, LaTeX, Markdown and plain text. It is easily customizable, extendable and can be used well with 'knitr'. Additionally 'pubprint' offers a memory system that allows to save and retrieve results of computations.
Author: Rudolf Siegel [aut, cre]
Maintainer: Rudolf Siegel <rs.os@t-online.de>

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Package psych updated to version 1.6.4 with previous version 1.5.8 dated 2015-08-30

Title: Procedures for Psychological, Psychometric, and Personality Research
Description: A general purpose toolbox for personality, psychometrics and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multi-levels include within and between group statistics, including correlations and factor analysis. Functions for simulating particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometrics as well as publications in personality research. For more information, see the personality-project.org/r webpage.
Author: William Revelle <revelle@northwestern.edu>
Maintainer: William Revelle <revelle@northwestern.edu>

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Package PResiduals updated to version 0.2-3 with previous version 0.2-2 dated 2016-05-05

Title: Probability-Scale Residuals and Residual Correlations
Description: Computes probability-scale residuals and residual correlations for continuous, ordinal, binary, count, and time-to-event data.
Author: Charles Dupont, Jeffrey Horner, Chun Li, Qi Liu, Bryan Shepherd
Maintainer: Bryan Shepherd <bryan.shepherd@VANDERBILT.EDU>

Diff between PResiduals versions 0.2-2 dated 2016-05-05 and 0.2-3 dated 2016-05-12

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New package PolyTrend with initial version 1.1
Package: PolyTrend
Encoding: UTF-8
Type: Package
Title: Trend Classification Algorithm
Version: 1.1
Date: 2016-05-11
Author: Sadegh Jamali, Hristo Tomov
Maintainer: Hristo Tomov <tomov.hristo@gmail.com>
Description: This algorithm can classify the trends as linear, quadratic, cubic, concealed or no-trend. The "concealed trend" are those trends that possess quadratic or cubic forms, but the net change between the start and end of the period hasn't been significant. While, the "no-trend" category includes simple linear trends that are below the significant slope coefficient.
License: GPL-2
NeedsCompilation: no
Packaged: 2016-05-11 22:15:54 UTC; hristo
Repository: CRAN
Date/Publication: 2016-05-12 14:47:16

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Package mixlm updated to version 1.1.3 with previous version 1.1.2 dated 2016-04-19

Title: Mixed Model ANOVA and Statistics for Education
Description: The main functions perform mixed models analysis by least squares or REML by adding the function r() to formulas of lm and glm. A collection of text-book statistics for higher education is also included, e.g. modifications of the functions lm, glm and associated summaries from the package stats.
Author: Kristian Hovde Liland [aut, cre], Solve Sæbø [ctb], R-Core [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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New package papayar with initial version 0.0.3
Package: papayar
Type: Package
Title: View Medical Research Images using the Papaya JavaScript Library
Version: 0.0.3
Date: 2016-05-11
Author: John Muschelli
Maintainer: John Muschelli <muschellij2@gmail.com>
Description: Users pass images and objects of class 'nifti' from the 'oro.nifti' package to a Papaya, an interactive lightweight JavaScript viewer. Although many packages can view individual slices or projections of image and matrix data, this package allows for quick and easy interactive browsing of images. The viewer is based off of the Mango software, which is a lightweight medical image viewer.
Imports: fslr, oro.nifti, servr, htmltools, utils
License: GPL-3
URL: https://github.com/rii-mango/Papaya/
BugReports: https://github.com/muschellij2/papayar/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-11 19:31:09 UTC; johnmuschelli
Repository: CRAN
Date/Publication: 2016-05-12 14:47:43

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Package markovchain updated to version 0.4.4 with previous version 0.4.3.1 dated 2016-03-05

Title: Easy Handling Discrete Time Markov Chains
Description: Functions and S4 methods to create and manage discrete time Markov chains (DTMC) more easily. In addition functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of DTMC proprieties) analysis are provided.
Author: Giorgio Alfredo Spedicato [aut,cre], Tae Seung Kang [aut], Sai Bhargav Yalamanchi [aut], Mildenberger Thoralf [ctb], Deepak Yadav [ctb]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>

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New package march with initial version 1.4
Package: march
Title: Markov Chains
Description: Computation of various Markovian models for categorical data including homogeneous Markov chains of any order, MTD models, Hidden Markov models, and Double Chain Markov Models.
Version: 1.4
Date: 2016-05-11
Author: Ogier Maitre, with contributions from Andre Berchtold and Oliver Buschor
Maintainer: Andre Berchtold <andre.berchtold@unil.ch>
Depends: R (>= 3.0.2), methods
License: GPL-2
LazyData: true
RoxygenNote: 5.0.1
Repository: CRAN
Repository/R-Forge/Project: march
Repository/R-Forge/Revision: 53
Repository/R-Forge/DateTimeStamp: 2016-05-11 12:48:14
Date/Publication: 2016-05-12 14:47:36
NeedsCompilation: no
Packaged: 2016-05-11 13:25:10 UTC; rforge

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Package lifecontingencies updated to version 1.1.12 with previous version 1.1.10 dated 2015-10-01

Title: Financial and Actuarial Mathematics for Life Contingencies
Description: Classes and methods that allow the user to manage life table, actuarial tables (also multiple decrement tables). Moreover, functions to easily perform demographic, financial and actuarial mathematics on life contingencies insurances calculations are contained therein.
Author: Giorgio Alfredo Spedicato [cre,aut], Reinhold Kainhofer [ctb], Kevin J. Owens [ctb], Christophe Dutang [ctb]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>

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New package googleAnalyticsR with initial version 0.1.0
Package: googleAnalyticsR
Type: Package
Version: 0.1.0
Title: Google Analytics API into R
Description: R library for interacting with the Google Analytics Reporting API v3 and v4.
Authors@R: c(person("Mark", "Edmondson",email = "m@sunholo.com", role = c("aut", "cre")), person(given = "Artem", family = "Klevtsov", email = "a.a.klevtsov@gmail.com", role = "ctb"), person("Johann", "deBoer", email="johanndeboer@gmail.com", role = "ctb"))
URL: https://github.com/MarkEdmondson1234/googleAnalyticsR
BugReports: https://github.com/MarkEdmondson1234/googleAnalyticsR/issues
Depends: R (>= 3.2.0)
Imports: googleAuthR (>= 0.3.0), tidyjson (>= 0.2.1), magrittr, jsonlite, testthat (>= 1.0.2)
Suggests: knitr, rmarkdown
License: MIT + file LICENSE
LazyData: TRUE
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-11 20:43:26 UTC; mark
Author: Mark Edmondson [aut, cre], Artem Klevtsov [ctb], Johann deBoer [ctb]
Maintainer: Mark Edmondson <m@sunholo.com>
Repository: CRAN
Date/Publication: 2016-05-12 14:47:28

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Package ggmcmc updated to version 1.0 with previous version 0.8 dated 2016-03-14

Title: Tools for Analyzing MCMC Simulations from Bayesian Inference
Description: Tools for assessing and diagnosing convergence of Markov Chain Monte Carlo simulations, as well as for graphically display results from full MCMC analysis. The package also facilitates the graphical interpretation of models by providing flexible functions to plot the results against observed variables.
Author: Xavier Fernández i Marín <xavier.fim@gmail.com>
Maintainer: Xavier Fernández i Marín <xavier.fim@gmail.com>

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Package DiversityOccupancy updated to version 1.0.3 with previous version 1.0.2 dated 2016-03-16

Title: Building Diversity Models from Multiple Species Occupancy Models
Description: Predictions of alpha diversity are fitted from presence data, first abundance is modeled from occupancy models and then, several diversity indices are calculated and finally GLM models are used to predict diversity in different environments and select priority areas.
Author: Derek Corcoran [aut, cre], Dylan Kesler [aut], Elisabeth Webb [aut], Nicole Michel [ctb]
Maintainer: Derek Corcoran <derek.corcoran.barrios@gmail.com>

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New package DBEST with initial version 1.0
Package: DBEST
Type: Package
Title: Detecting Breakpoints and Estimating Segments in Trend (DBEST)
Version: 1.0
Date: 2016-05-12
Author: Sadegh Jamali, Hristo Tomov
Maintainer: Hristo Tomov <tomov.hristo@gmail.com>
Description: An algorithm for analysing vegetation time series with two main application domains - generalising vegetation trends and characterizing vegetation trend changes. The algorithm simplifies the trend into linear segments using one of three parameters: a generalisation threshold parameter, the largest changes, or a threshold for the magnitude of changes. The outputs are the simplified trend, the change type (abrupt or non-abrupt), and the time and magnitude of the change.
License: GPL-2
Imports: graphics, stats, zoo
NeedsCompilation: no
Packaged: 2016-05-11 23:13:54 UTC; hristo
Repository: CRAN
Date/Publication: 2016-05-12 14:47:12

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Package cOde updated to version 0.2.2 with previous version 0.2.1 dated 2016-03-09

Title: Automated C Code Generation for Use with the 'deSolve' and 'bvpSolve' Packages
Description: Generates all necessary C functions allowing the user to work with the compiled-code interface of ode() and bvptwp(). The implementation supports "forcings" and "events". Also provides functions to symbolically compute Jacobians, sensitivity equations and adjoint sensitivities being the basis for sensitivity analysis.
Author: Daniel Kaschek
Maintainer: Daniel Kaschek <daniel.kaschek@physik.uni-freiburg.de>

Diff between cOde versions 0.2.1 dated 2016-03-09 and 0.2.2 dated 2016-05-12

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Package cruts updated to version 0.3 with previous version 0.2 dated 2016-01-11

Title: Interface to Climatic Research Unit Time-Series Version 3.21 Data
Description: Functions for reading in and manipulating CRU TS3.21: Climatic Research Unit (CRU) Time-Series (TS) Version 3.21 data.
Author: Benjamin M. Taylor Additional contributions Bikash Parida
Maintainer: Benjamin M. Taylor <b.taylor1@lancaster.ac.uk>

Diff between cruts versions 0.2 dated 2016-01-11 and 0.3 dated 2016-05-12

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Package bartMachine updated to version 1.2.3 with previous version 1.2.2 dated 2016-03-24

Title: Bayesian Additive Regression Trees
Description: An advanced implementation of Bayesian Additive Regression Trees with expanded features for data analysis and visualization.
Author: Adam Kapelner and Justin Bleich (R package)
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>

Diff between bartMachine versions 1.2.2 dated 2016-03-24 and 1.2.3 dated 2016-05-12

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