Mon, 22 May 2017

Package ZeligEI updated to version 0.1-1 with previous version 0.1-0 dated 2016-05-28

Title: Zelig Ecological Inference Models
Description: Add-on package for Zelig 5. Enables the use of a variety of ecological inference models.
Author: Christopher Gandrud [cre], James Honaker [aut]
Maintainer: Christopher Gandrud <zelig.zee@gmail.com>

Diff between ZeligEI versions 0.1-0 dated 2016-05-28 and 0.1-1 dated 2017-05-22

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Package voxel updated to version 1.3.2 with previous version 1.2.1 dated 2016-08-26

Title: Mass-Univariate Voxelwise Analysis of Medical Imaging Data
Description: Functions for the mass-univariate voxelwise analysis of medical imaging data that follows the NIfTI <http://nifti.nimh.nih.gov> format.
Author: Angel Garcia de la Garza [aut, cre], Simon Vandekar [aut], David Roalf [aut], Kosha Ruparel [aut], Ruben Gur [aut], Raquel Gur [aut], Theodore Satterthwaite [aut], R. Taki Shinohara [aut]
Maintainer: Angel Garcia de la Garza <agarciadlg@gmail.com>

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Package SubVis updated to version 2.0.2 with previous version 2.0.1 dated 2017-01-12

Title: Visual Exploration of Protein Alignments Resulting from Multiple Substitution Matrices
Description: Substitution matrices are important parameters in protein alignment algorithms. These matrices represent the likelihood that an amino acid will be substituted for another during mutation. This tool allows users to apply predefined and custom matrices and then explore the resulting alignments with interactive visualizations. 'SubVis' requires the availability of a web browser.
Author: Scott Barlowe <sabarlowe@email.wcu.edu>
Maintainer: Scott Barlowe <sabarlowe@email.wcu.edu>

Diff between SubVis versions 2.0.1 dated 2017-01-12 and 2.0.2 dated 2017-05-22

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Package sarima updated to version 0.4-5 with previous version 0.4-3 dated 2017-02-06

Title: Simulation and Prediction with Seasonal ARIMA Models
Description: Functions, classes and methods for time series modelling with ARIMA and related models. The aim of the package is to provide consistent interface for the user. For example, a single function autocorrelations() computes various kinds of theoretical and sample autocorrelations. This is work in progress, see the documentation and vignettes for the current functionality.
Author: Georgi N. Boshnakov
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between sarima versions 0.4-3 dated 2017-02-06 and 0.4-5 dated 2017-05-22

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Package samplingbook updated to version 1.2.2 with previous version 1.2.1 dated 2016-07-10

Title: Survey Sampling Procedures
Description: Sampling procedures from the book 'Stichproben - Methoden und praktische Umsetzung mit R' by Goeran Kauermann and Helmut Kuechenhoff (2010).
Author: Juliane Manitz <r@manitz.org>, contributions by Mark Hempelmann <mark.hempelmann@o2online.de>, Goeran Kauermann <gkauermann@wiwi.uni-bielefeld.de>, Helmut Kuechenhoff <kuechenhoff@stat.uni-muenchen.de>, Shuai Shao <shuai.shao@campus.lmu.de>, Cornelia Oberhauser <conny.oberhauser@gmx.de>, Nina Westerheide <nwesterheide@wiwi.uni-bielefeld.de>, Manuel Wiesenfarth <m.wiesenfarth@uni-goettingen.de>
Maintainer: Juliane Manitz <r@manitz.org>

Diff between samplingbook versions 1.2.1 dated 2016-07-10 and 1.2.2 dated 2017-05-22

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Package moveVis updated to version 0.9.1 with previous version 0.9 dated 2017-05-18

Title: Movement Data Visualization
Description: Tools to visualize movement data of any kind, e. g by creating path animations from GPS point data.
Author: Jakob Schwalb-Willmann [aut, cre]
Maintainer: Jakob Schwalb-Willmann <movevis@schwalb-willmann.de>

Diff between moveVis versions 0.9 dated 2017-05-18 and 0.9.1 dated 2017-05-22

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Package LatticeKrig updated to version 6.4 with previous version 6.2 dated 2016-12-20

Title: Multiresolution Kriging Based on Markov Random Fields
Description: Methods for the interpolation of large spatial datasets. This package follows a "fixed rank Kriging" approach using a large number of basis functions and provides spatial estimates that are comparable to standard families of covariance functions. Using a large number of basis functions allows for estimates that can come close to interpolating the observations (a spatial model with a small nugget variance.) Moreover, the covariance model for this method can approximate the Matern covariance family but also allows for a multi-resolution model and supports efficient computation of the profile likelihood for estimating covariance parameters. This is accomplished through compactly supported basis functions and a Markov random field model for the basis coefficients. These features lead to sparse matrices for the computations and this package makes of the R spam package for this. An extension of this version over previous ones ( < 5.4 ) is the support for different geometries besides a rectangular domain. The Markov random field approach combined with a basis function representation makes the implementation of different geometries simple where only a few specific functions need to be added with most of the computation and evaluation done by generic routines that have been tuned to be efficient. One benefit of this package's model/approach is the facility to do unconditional and conditional simulation of the field for large numbers of arbitrary points. There is also the flexibility for estimating non-stationary covariances and also the case when the observations are a linear combination (e.g. an integral) of the spatial process. Included are generic methods for prediction, standard errors for prediction, plotting of the estimated surface and conditional and unconditional simulation.
Author: Douglas Nychka [aut, cre], Dorit Hammerling [aut], Stephan Sain [aut], Nathan Lenssen [aut], Colette Smirniotis [aut]
Maintainer: Douglas Nychka <nychka@ucar.edu>

Diff between LatticeKrig versions 6.2 dated 2016-12-20 and 6.4 dated 2017-05-22

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Package foghorn updated to version 0.4.4 with previous version 0.4.2 dated 2017-02-08

Title: Summarizes CRAN Check Results in the Terminal
Description: The CRAN check results in your R terminal.
Author: Francois Michonneau [aut, cre], Ben Bolker [ctb]
Maintainer: Francois Michonneau <francois.michonneau@gmail.com>

Diff between foghorn versions 0.4.2 dated 2017-02-08 and 0.4.4 dated 2017-05-22

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Package FLLat updated to version 1.2-1 with previous version 1.2 dated 2015-09-16

Title: Fused Lasso Latent Feature Model
Description: Fits the Fused Lasso Latent Feature model, which is used for modeling multi-sample aCGH data to identify regions of copy number variation (CNV). Produces a set of features that describe the patterns of CNV and a set of weights that describe the composition of each sample. Also provides functions for choosing the optimal tuning parameters and the appropriate number of features, and for estimating the false discovery rate.
Author: Gen Nowak [aut, cre], Trevor Hastie [aut], Jonathan R. Pollack [aut], Robert Tibshirani [aut], Nicholas Johnson [aut]
Maintainer: Gen Nowak <gen.nowak@gmail.com>

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New package dgo with initial version 0.2.9
Package: dgo
Title: Dynamic Estimation of Group-Level Opinion
Version: 0.2.9
Date: 2017-05-21
Description: Fit dynamic group-level IRT and MRP models from individual or aggregated item response data. This package handles common preprocessing tasks and extends functions for inspecting results, poststratification, and quick iteration over alternative models.
Maintainer: James Dunham <james@jdunham.io>
Authors@R: c( person("James", "Dunham", email = "james@jdunham.io", role = c("aut", "cre")), person("Devin", "Caughey", email = "caughey@mit.edu", role = c("aut")), person("Christopher", "Warshaw", email = "cwarshaw@mit.edu", role = c("aut")) )
License: GPL-3
URL: https://jdunham.io/dgo/
BugReports: https://github.com/jamesdunham/dgo/issues
Depends: dgodata, R (>= 3.2.2), rstan (>= 2.15.1)
LazyData: true
Imports: assertthat, data.table, ggplot2, lubridate, methods, R6, Rcpp (>= 0.12.10), survey
Suggests: knitr, rmarkdown, testthat
LinkingTo: Rcpp (>= 0.12.10)
NeedsCompilation: yes
Collate: 'RcppExports.R' 'aggregate_item_responses.r' 'assertions.r' 'class-control.r' 'class-dgo_fit.r' 'class-dgirt_fit.r' 'constants.r' 'class-dgirtin.r' 'class-dgmrp_fit.r' 'dgirt.r' 'dichotomize_item_responses.r' 'expand_rownames.r' 'methods-control.r' 'methods-dgirtfit-plot.r' 'methods-dgirtfit-poststratify.r' 'methods-dgirtfit.r' 'methods-dgirtin.r' 'name_helpers.r' 'package.R' 'rake_partial.r' 'restrict_input_data.r' 'reweight_item_responses.r' 'shape.r' 'shape_hierarchical.r' 'toy_dgirt_in.r' 'toy_dgirtfit.r' 'validate_dgirtIn.r' 'validate_input_data.r'
RoxygenNote: 6.0.1
Packaged: 2017-05-23 02:17:38 UTC; james
Author: James Dunham [aut, cre], Devin Caughey [aut], Christopher Warshaw [aut]
Repository: CRAN
Date/Publication: 2017-05-23 03:39:44 UTC

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Package brglm2 updated to version 0.1.4 with previous version 0.1.3 dated 2017-04-04

Title: Bias Reduction in Generalized Linear Models
Description: Estimation and inference from generalized linear models based on various methods for bias reduction. The 'brglmFit' fitting method can achieve reduction of estimation bias by solving either the mean bias-reducing adjusted score equations in Firth (1993) <doi:10.1093/biomet/80.1.27> and Kosmidis and Firth (2009) <doi:10.1093/biomet/asp055>, or the median bias-reduction adjusted score equations in Kenne et al. (2016) <arXiv:1604.04768>, or through the direct subtraction of an estimate of the bias of the maximum likelihood estimator from the maximum likelihood estimates as in Cordeiro and McCullagh (1991) <http://www.jstor.org/stable/2345592>. Estimation in all cases takes place via a quasi Fisher scoring algorithm, and S3 methods for the construction of of confidence intervals for the reduced-bias estimates are provided. In the special case of generalized linear models for binomial and multinomial responses, the adjusted score approaches return estimates with improved frequentist properties, that are also always finite, even in cases where the maximum likelihood estimates are infinite (e.g. complete and quasi-complete separation). 'brglm2' also provides pre-fit and post-fit methods for detecting separation and infinite maximum likelihood estimates in binomial response generalized linear models.
Author: Ioannis Kosmidis [aut, cre], Kjell Konis [ctb], Euloge Clovis Kenne Pagui [ctb], Nicola Sartori [ctb]
Maintainer: Ioannis Kosmidis <i.kosmidis@ucl.ac.uk>

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Package GenomicMating updated to version 1.1 with previous version 1.0 dated 2017-03-31

Title: Efficient Breeding by Genomic Mating
Description: Implements the genomic mating approach in the recently published article: Akdemir, D., & Sanchez, J. I. (2016). Efficient Breeding by Genomic Mating. Frontiers in Genetics, 7. <DOI:10.3389/fgene.2016.00210>.
Author: Deniz Akdemir
Maintainer: Deniz Akdemir <deniz.akdemir.work@gmail.com>

Diff between GenomicMating versions 1.0 dated 2017-03-31 and 1.1 dated 2017-05-22

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Package backports updated to version 1.1.0 with previous version 1.0.5 dated 2017-01-18

Title: Reimplementations of Functions Introduced Since R-3.0.0
Description: Implementations of functions which have been introduced in R since version 3.0.0. The backports are conditionally exported which results in R resolving the function names to the version shipped with R (if available) and uses the implemented backports as fallback. This way package developers can make use of the new functions without worrying about the minimum required R version.
Author: Michel Lang <michellang@gmail.com>
Maintainer: Michel Lang <michellang@gmail.com>

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Package Rd2md updated to version 0.0.2 with previous version 0.0.1 dated 2017-05-21

Title: Markdown Reference Manuals
Description: The native R functionalities only allow PDF exports of reference manuals. This shall be extended by converting the package documentation files into markdown files and combining them into a markdown version of the package reference manual.
Author: Julian Busch [aut, cre]
Maintainer: Julian Busch <jb@quants.ch>

Diff between Rd2md versions 0.0.1 dated 2017-05-21 and 0.0.2 dated 2017-05-22

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Package DA.MRFA updated to version 1.1.2 with previous version 1.1 dated 2017-04-19

Title: Dimensionality Assessment using Minimum Rank Factor Analysis
Description: Performs Parallel Analysis for assessing the dimensionality of a set of variables using Minimum Rank Factor Analysis (see Timmerman & Lorenzo-Seva (2011) <DOI:10.1037/a0023353> and ten Berge & Kiers (1991) <DOI:10.1007/BF02294464> for more information). The package also includes the option to compute Minimum Rank Factor Analysis by itself, as well as the Greater Lower Bound calculation.
Author: David Navarro-Gonzalez, Urbano Lorenzo-Seva
Maintainer: David Navarro-Gonzalez <david.navarro@urv.cat>

Diff between DA.MRFA versions 1.1 dated 2017-04-19 and 1.1.2 dated 2017-05-22

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Package reticulate updated to version 0.8 with previous version 0.7 dated 2017-03-14

Title: R Interface to Python
Description: R interface to Python modules, classes, and functions. When calling into Python R data types are automatically converted to their equivalent Python types. When values are returned from Python to R they are converted back to R types. Compatible with all versions of Python >= 2.7.
Author: JJ Allaire [aut, cre], Kevin Ushey [ctb], RStudio [cph, fnd], Yuan Tang [aut, cph], Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Marcus Geelnard [aut, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/)
Maintainer: JJ Allaire <jj@rstudio.com>

Diff between reticulate versions 0.7 dated 2017-03-14 and 0.8 dated 2017-05-22

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New package lemon with initial version 0.3.0
Package: lemon
Type: Package
Title: Freshing Up your 'ggplot2' Plots
URL: https://github.com/stefanedwards/lemon
BugReports: https://github.com/stefanedwards/lemon/issues
Version: 0.3.0
Date: 2017-05-18
Authors@R: c( person('Stefan McKinnon', 'Edwards', email='sme@iysik.com', role=c('aut','ctb','cre')), person('Baptiste','Auguie', role='ctb', comment='For g_legend and grid_arrange_shared_legend'), person('Shaun','Jackman', role='ctb', comment='For grid_arrange_shared_legend'), person("Hadley", "Wickham", , "hadley@rstudio.com", "ctb", comment='ggplot2 functions'), person("Winston", "Chang", , "winston@rstudio.com", "ctb", comment='ggplot2 functions') )
Description: Functions for working with legends and axis lines of 'ggplot2', facets that repeat axis lines on all panels, and some 'knitr' extensions.
Depends: R (>= 3.1.0)
Imports: ggplot2 (>= 2.2.0), grid, gridExtra, gtable, RCurl, knitr (>= 1.12), lattice
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Collate: 'ggplot2.r' 'brackets.R' 'coord-capped.r' 'coord-flex.r' 'dot.r' 'facet-rep-lab.r' 'facet-wrap.r' 'gtable_show-.r' 'guides-axis.r' 'legends.r' 'lemon.r' 'lemon_print.r'
Suggests: rmarkdown, stringr, dplyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-22 12:20:14 UTC; shojedw
Author: Stefan McKinnon Edwards [aut, ctb, cre], Baptiste Auguie [ctb] (For g_legend and grid_arrange_shared_legend), Shaun Jackman [ctb] (For grid_arrange_shared_legend), Hadley Wickham [ctb] (ggplot2 functions), Winston Chang [ctb] (ggplot2 functions)
Maintainer: Stefan McKinnon Edwards <sme@iysik.com>
Repository: CRAN
Date/Publication: 2017-05-22 16:09:54 UTC

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Package diagis updated to version 0.1.2 with previous version 0.1.0 dated 2016-10-29

Title: Diagnostic Plot and Multivariate Summary Statistics of Weighted Samples from Importance Sampling
Description: Fast functions for effective sample size, weighted multivariate mean and variance computation, and weight diagnostic plot for generic importance sampling type results.
Author: Jouni Helske
Maintainer: Jouni Helske <jouni.helske@jyu.fi>

Diff between diagis versions 0.1.0 dated 2016-10-29 and 0.1.2 dated 2017-05-22

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Package leaflet.minicharts updated to version 0.3.0 with previous version 0.2.0 dated 2017-05-05

Title: Mini Charts for Interactive Maps
Description: Add and modify small charts on an interactive map created with package 'leaflet'. These charts can be used to represent at same time multiple variables on a single map.
Author: Francois Guillem [aut, cre], Jalal-Edine ZAWAM [ctb], RTE [cph]
Maintainer: Francois Guillem <francois.guillem@rte-france.com>

Diff between leaflet.minicharts versions 0.2.0 dated 2017-05-05 and 0.3.0 dated 2017-05-22

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New package DendroSync with initial version 0.1.0
Package: DendroSync
Type: Package
Title: A Set of Tools for Calculating Spatial Synchrony Between Tree-Ring Chronologies
Version: 0.1.0
Date: 2017-05-18
Author: Josu G. Alday, Tatiana A. Shestakova, Victor Resco de Dios, Jordi Voltas
Maintainer: Josu G. Alday <josucham@gmail.com>
Description: Provides functions for the calculation and plotting of synchrony in tree growth from tree-ring width chronologies (TRW index). It combines variance-covariance (VCOV) mixed modelling with functions that quantify the degree to which the TRW chronologies contain a common temporal signal. It also implements temporal trends in spatial synchrony using a moving window. These methods can also be used with other kind of ecological variables that have temporal autocorrelation corrected.
License: GPL-2
Depends: R (>= 3.1.2), nlme, ggplot2
LazyData: TRUE
Imports: stats, utils, gridExtra
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-22 11:51:00 UTC; Josu
Repository: CRAN
Date/Publication: 2017-05-22 12:18:47 UTC

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New package SpatialAcc with initial version 0.1
Package: SpatialAcc
Type: Package
Title: Spatial Accessibility Measures
Version: 0.1
Date: 2017-05-22
Authors@R: person("Stamatis", "Kalogirou", email = "skalo@hua.gr", role = c("aut", "cre"))
Depends: R (>= 3.3)
Description: Provides a set of spatial accessibility measures from a set of locations (demand) to another set of locations (supply). It aims, among others, to support research on spatial accessibility to health care facilities.
License: GPL (>= 2)
LazyData: TRUE
Suggests: sp
NeedsCompilation: no
Packaged: 2017-05-22 08:40:04 UTC; Stamatis
Author: Stamatis Kalogirou [aut, cre]
Maintainer: Stamatis Kalogirou <skalo@hua.gr>
Repository: CRAN
Date/Publication: 2017-05-22 11:46:00 UTC

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New package sotu with initial version 1.0.2
Package: sotu
Type: Package
Title: United States Presidential State of the Union Addresses
Version: 1.0.2
Authors@R: c(person(given = "Taylor B.", family = "Arnold", email = "taylor.arnold@acm.org", role = c("aut", "cre")))
Author: Taylor B. Arnold [aut, cre]
Maintainer: Taylor B. Arnold <taylor.arnold@acm.org>
Description: The President of the United States is constitutionally obligated to provide a report known as the 'State of the Union'. The report summarizes the current challenges facing the country and the president's upcoming legislative agenda. While historically the State of the Union was often a written document, in recent decades it has always taken the form of an oral address to a joint session of the United States Congress. This package provides the raw text from every such address with the intention of being used for meaningful examples of text analysis in R. The corpus is well suited to the task as it is historically important, includes material intended to be read and material intended to be spoken, and it falls in the public domain. As the corpus spans over two centuries it is also a good test of how well various methods hold up to the idiosyncrasies of historical texts. Associated data about each address, such as the year, president, party, and format, are also included.
Depends: R (>= 2.10)
Imports: utils
License: GPL-2
URL: http://github.com/statsmaths/sotu/issues
BugReports: http://github.com/statsmaths/sotu/issues
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-22 11:27:24 UTC; taylor
Repository: CRAN
Date/Publication: 2017-05-22 11:50:53 UTC

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Package ROI updated to version 0.2-6 with previous version 0.2-5 dated 2017-05-17

Title: R Optimization Infrastructure
Description: The R Optimization Infrastructure ('ROI') is a sophisticated framework for handling optimization problems in R.
Author: Kurt Hornik [aut], David Meyer [aut], Florian Schwendinger [aut], Stefan Theussl [aut, cre], Diethelm Wuertz [ctb]
Maintainer: Stefan Theussl <Stefan.Theussl@R-Project.org>

Diff between ROI versions 0.2-5 dated 2017-05-17 and 0.2-6 dated 2017-05-22

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Package dfmta updated to version 1.5 with previous version 1.4 dated 2017-03-27

Title: Phase I/II Adaptive Dose-Finding Design for MTA
Description: Phase I/II adaptive dose-finding design for single-agent Molecularly Targeted Agent (MTA), according to the paper "Phase I/II Dose-Finding Design for Molecularly Targeted Agent: Plateau Determination using Adaptive Randomization".
Author: Marie-Karelle Riviere and Jacques-Henri Jourdan
Maintainer: Marie-Karelle Riviere <eldamjh@gmail.com>

Diff between dfmta versions 1.4 dated 2017-03-27 and 1.5 dated 2017-05-22

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Package dfcomb updated to version 2.3 with previous version 2.2 dated 2017-03-27

Title: Phase I/II Adaptive Dose-Finding Design for Combination Studies
Description: Phase I/II adaptive dose-finding design for combination studies. Several methods are proposed depending on the type of combinations: (1) the combination of two cytotoxic agents, and (2) combination of a molecularly targeted agent with a cytotoxic agent.
Author: Marie-Karelle Riviere and Jacques-Henri Jourdan
Maintainer: Marie-Karelle Riviere <eldamjh@gmail.com>

Diff between dfcomb versions 2.2 dated 2017-03-27 and 2.3 dated 2017-05-22

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Package acebayes updated to version 1.4 with previous version 1.3.4 dated 2017-02-10

Title: Optimal Bayesian Experimental Design using the ACE Algorithm
Description: Optimal Bayesian experimental design using the approximate coordinate exchange (ACE) algorithm.
Author: Antony M. Overstall, David C. Woods & Maria Adamou
Maintainer: Antony M. Overstall <A.M.Overstall@soton.ac.uk>

Diff between acebayes versions 1.3.4 dated 2017-02-10 and 1.4 dated 2017-05-22

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Package carpenter updated to version 0.2.1 with previous version 0.2.0 dated 2016-07-29

Title: Build Common Tables of Summary Statistics for Reports
Description: Mainly used to build tables that are commonly presented for bio-medical/health research, such as basic characteristic tables or descriptive statistics.
Author: Luke Johnston [aut, cre]
Maintainer: Luke Johnston <lwjohnst@gmail.com>

Diff between carpenter versions 0.2.0 dated 2016-07-29 and 0.2.1 dated 2017-05-22

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New package readtext with initial version 0.50
Package: readtext
Version: 0.50
Type: Package
Title: Import and Handling for Plain and Formatted Text Files
Authors@R: c( person("Kenneth", "Benoit", email = "kbenoit@lse.ac.uk", role = c("aut", "cre", "cph")), person("Adam", "Obeng", email = "quanteda@binaryeagle.com", role = "aut"), person("Paul", "Nulty", email = "paul.nulty@gmail.com", role = "ctb"), person("Stefan", "Müller", email = "mullers@tcd.ie", role = "ctb"))
Description: Functions for importing and handling text files and formatted text files with additional meta-data, such including '.csv', '.tab', '.json', '.xml', '.pdf', '.doc', '.docx', '.xls', '.xlsx', and others.
License: GPL-3
Depends: R (>= 3.3.1)
Imports: utils, stringi, data.table, httr, antiword, pdftools, tibble, jsonlite (>= 0.9.10), streamR, XML, readxl, readODS
Suggests: quanteda (>= 0.9.9.24), knitr, rmarkdown, testthat
URL: http://github.com/kbenoit/readtext
Encoding: UTF-8
BugReports: https://github.com/kbenoit/readtext/issues
LazyData: TRUE
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-22 07:05:37 UTC; kbenoit
Author: Kenneth Benoit [aut, cre, cph], Adam Obeng [aut], Paul Nulty [ctb], Stefan Müller [ctb]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>
Repository: CRAN
Date/Publication: 2017-05-22 07:20:21 UTC

More information about readtext at CRAN
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Package testit updated to version 0.7 with previous version 0.6 dated 2016-11-09

Title: A Simple Package for Testing R Packages
Description: Provides two convenience functions assert() and test_pkg() to facilitate testing R packages.
Author: Yihui Xie
Maintainer: Yihui Xie <xie@yihui.name>

Diff between testit versions 0.6 dated 2016-11-09 and 0.7 dated 2017-05-22

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Package scclust updated to version 0.1.1 with previous version 0.1.0 dated 2017-03-28

Title: Size-Constrained Clustering
Description: Provides wrappers for 'scclust', a C library for computationally efficient size-constrained clustering with near-optimal performance. See <https://github.com/fsavje/scclust> for more information.
Author: Fredrik Savje [aut, cre], Michael Higgins [aut], Jasjeet Sekhon [aut]
Maintainer: Fredrik Savje <fredrik.savje@berkeley.edu>

Diff between scclust versions 0.1.0 dated 2017-03-28 and 0.1.1 dated 2017-05-22

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More information about scclust at CRAN
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Package RcmdrPlugin.UCA updated to version 4.1-1 with previous version 3.1-2 dated 2016-09-20

Title: UCA Rcmdr Plug-in
Description: Some extension to Rcmdr (R Commander), randomness test, variance test for one normal sample and predictions using active model, made by R-UCA project and used in teaching statistics at University of Cadiz (UCA).
Author: Manuel Munoz-Marquez <manuel.munoz@uca.es>
Maintainer: Manuel Munoz-Marquez <manuel.munoz@uca.es>

Diff between RcmdrPlugin.UCA versions 3.1-2 dated 2016-09-20 and 4.1-1 dated 2017-05-22

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Package plumber updated to version 0.3.2 with previous version 0.3.1 dated 2016-10-04

Title: An API Generator for R
Description: Gives the ability to automatically generate and serve an HTTP API from R functions using the annotations in the R documentation around your functions.
Author: Trestle Technology, LLC [aut], Jeff Allen [cre], Frans van Dunné [ctb]
Maintainer: Jeff Allen <cran@trestletech.com>

Diff between plumber versions 0.3.1 dated 2016-10-04 and 0.3.2 dated 2017-05-22

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More information about plumber at CRAN
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Package Rcpp updated to version 0.12.11 with previous version 0.12.10 dated 2017-03-19

Title: Seamless R and C++ Integration
Description: The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <http://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, JSS), and the book by Eddelbuettel (2013, Springer); see 'citation("Rcpp")' for details on these last two.
Author: Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou, Nathan Russell, Douglas Bates and John Chambers
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between Rcpp versions 0.12.10 dated 2017-03-19 and 0.12.11 dated 2017-05-22

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More information about Rcpp at CRAN
Permanent link

New package multicmp with initial version 1.0
Package: multicmp
Type: Package
Title: Flexible Modeling of Multivariate Count Data via the Multivariate Conway-Maxwell-Poisson Distribution
Version: 1.0
Authors@R: c( person("Kimberly", "Sellers", email = "Kimberly.Sellers@georgetown.edu", role = "aut"), person("Darcy" , "Steeg Morris", role = "aut"), person("Narayanaswamy" , "Balakrishnan" , role = "aut"), person("Diag", "Davenport", email = "diag.davenport@gmail.com", role = c("aut", "cre")) )
Maintainer: Diag Davenport <diag.davenport@gmail.com>
Description: A toolkit containing statistical analysis models motivated by multivariate forms of the Conway-Maxwell-Poisson (COM-Poisson) distribution for flexible modeling of multivariate count data, especially in the presence of data dispersion. Currently the package only supports bivariate data, via the bivariate COM-Poisson distribution described in Sellers et al. (2016) <doi:10.1016/j.jmva.2016.04.007>. Future development will extend the package to higher-dimensional data.
Imports: stats, numDeriv
URL: http://dx.doi.org/10.1016/j.jmva.2016.04.007
BugReports: https://github.com/diagdavenport/multicmp/issues
License: GPL-3
LazyData: TRUE
RoxygenNote: 6.0.0
NeedsCompilation: no
Packaged: 2017-05-21 23:11:32 UTC; Diag Davenport
Author: Kimberly Sellers [aut], Darcy Steeg Morris [aut], Narayanaswamy Balakrishnan [aut], Diag Davenport [aut, cre]
Repository: CRAN
Date/Publication: 2017-05-22 04:17:44 UTC

More information about multicmp at CRAN
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