Thu, 07 Dec 2017

Package jmv updated to version 0.8.1.11 with previous version 0.8 dated 2017-09-15

Title: The 'jamovi' Analyses
Description: A suite of common statistical methods such as descriptives, t-tests, ANOVAs, correlation matrices, proportion tests, contingency tables, and factor analysis. This package is also useable from the 'jamovi' statistical spreadsheet (see <https://www.jamovi.org> for more information).
Author: Ravi Selker, Jonathon Love, Damian Dropmann
Maintainer: Jonathon Love <jon@thon.cc>

Diff between jmv versions 0.8 dated 2017-09-15 and 0.8.1.11 dated 2017-12-07

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More information about jmv at CRAN
Permanent link

Package vcfR updated to version 1.6.0 with previous version 1.5.0 dated 2017-05-18

Title: Manipulate and Visualize VCF Data
Description: Facilitates easy manipulation of variant call format (VCF) data. Functions are provided to rapidly read from and write to VCF files. Once VCF data is read into R a parser function extracts matrices of data. This information can then be used for quality control or other purposes. Additional functions provide visualization of genomic data. Once processing is complete data may be written to a VCF file (*.vcf.gz). It also may be converted into other popular R objects (e.g., genlight, DNAbin). VcfR provides a link between VCF data and familiar R software.
Author: Brian J. Knaus [cre, aut] (0000-0003-1665-4343), Niklaus J. Grunwald [aut] (0000-0003-1656-7602), Eric C. Anderson [ctb], David J. Winter [ctb], Zhian N. Kamvar [ctb] (0000-0003-1458-7108), Javier F. Tabima [ctb] (0000-0002-3603-2691)
Maintainer: Brian J. Knaus <briank.lists@gmail.com>

Diff between vcfR versions 1.5.0 dated 2017-05-18 and 1.6.0 dated 2017-12-07

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More information about vcfR at CRAN
Permanent link

Package spatialEco updated to version 1.0-0 with previous version 0.1-7 dated 2017-04-11

Title: Spatial Analysis and Modelling
Description: Utilities to support spatial data manipulation, query, sampling and modelling. Functions include models for species population density, download utilities for climate and global deforestation spatial products, spatial smoothing, multivariate separability, point process model for creating pseudo- absences and sub-sampling, polygon and point-distance landscape metrics, auto-logistic model, sampling models, cluster optimization and statistical exploratory tools.
Author: Jeffrey S. Evans [aut, cre], Karthik Ram [ctb]
Maintainer: Jeffrey S. Evans <jeffrey_evans@tnc.org>

Diff between spatialEco versions 0.1-7 dated 2017-04-11 and 1.0-0 dated 2017-12-07

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Package scrm updated to version 1.7.2-1 with previous version 1.7.2-0 dated 2016-12-11

Title: Simulating the Evolution of Biological Sequences
Description: A coalescent simulator that allows the rapid simulation of biological sequences under neutral models of evolution. Different to other coalescent based simulations, it has an optional approximation parameter that allows for high accuracy while maintaining a linear run time cost for long sequences. It is optimized for simulating massive data sets as produced by Next- Generation Sequencing technologies for up to several thousand sequences.
Author: Paul Staab [aut, cre, cph], Zhu Sha [aut, cph], Dirk Metzler [aut, cph, ths], Gerton Lunter [aut, cph, ths]
Maintainer: Paul Staab <develop@paulstaab.de>

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Package s20x updated to version 3.1-26 with previous version 3.1-25 dated 2017-11-23

Title: Functions for University of Auckland Course STATS 201/208 Data Analysis
Description: A set of functions used in teaching STATS 201/208 Data Analysis at the University of Auckland. The functions are designed to make parts of R more accessible to a large undergraduate population who are mostly not statistics majors.
Author: Andrew Balemi, Dineika Chandra, James Curran, Brant Deppa, Mike Forster, Brendan McArdle, Ben Stevenson, Chris Wild
Maintainer: James Curran <j.curran@auckland.ac.nz>

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Package rpf updated to version 0.56 with previous version 0.55 dated 2017-10-11

Title: Response Probability Functions
Description: The purpose of this package is to factor out logic and math common to Item Factor Analysis fitting, diagnostics, and analysis. It is envisioned as core support code suitable for more specialized IRT packages to build upon. Complete access to optimized C functions are made available with R_RegisterCCallable().
Author: Joshua Pritikin [cre, aut], Jonathan Weeks [ctb], Li Cai [ctb], Carrie Houts [ctb], Phil Chalmers [ctb], Michael D. Hunter [ctb], Carl F. Falk [ctb]
Maintainer: Joshua Pritikin <jpritikin@pobox.com>

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Package randomcoloR updated to version 1.1.0 with previous version 1.0.0 dated 2016-03-29

Title: Generate Attractive Random Colors
Description: Simple methods to generate attractive random colors. The random colors are from a wrapper of 'randomColor.js' <https://github.com/davidmerfield/randomColor>. In addition, it also generates optimally distinct colors based on k-means (inspired by 'IWantHue' <https://github.com/medialab/iwanthue>).
Author: Ron Ammar
Maintainer: Ron Ammar <ron.ammar@gmail.com>

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Package jomo updated to version 2.5-2 with previous version 2.5-1 dated 2017-10-18

Title: Multilevel Joint Modelling Multiple Imputation
Description: Similarly to Schafer's package 'pan', 'jomo' is a package for multilevel joint modelling multiple imputation. Novel aspects of 'jomo' are the possibility of handling binary and categorical data through latent normal variables, the option to use cluster-specific covariance matrices and to impute compatibly with the substantive model.
Author: Matteo Quartagno, James Carpenter
Maintainer: Matteo Quartagno <matteo.quartagno@lshtm.ac.uk>

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Package controlTest updated to version 1.1.0 with previous version 1.0 dated 2015-06-17

Title: Quantile Comparison for Two-Sample Right-Censored Survival Data
Description: Nonparametric two-sample procedure for comparing survival quantiles.
Author: Eric S. Kawaguchi [aut, cre]
Maintainer: Eric S. Kawaguchi <erickawaguchi@ucla.edu>

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Package bea.R updated to version 1.0.4 with previous version 1.0.2 dated 2017-07-13

Title: Bureau of Economic Analysis API
Description: Provides an R interface for the Bureau of Economic Analysis (BEA) API (see <http://www.bea.gov/API/bea_web_service_api_user_guide.htm> for more information) that serves two core purposes - 1. To Extract/Transform/Load data [beaGet()] from the BEA API as R-friendly formats in the user's work space [transformation done by default in beaGet() can be modified using optional parameters; see, too, bea2List(), bea2Tab()]. 2. To enable the search of descriptive meta data [beaSearch()]. Other features of the library exist mainly as intermediate methods or are in early stages of development. Important Note - You must have an API key to use this library. Register for a key at <http://www.bea.gov/API/signup/index.cfm> .
Author: Andrea Batch [aut, cre], Jeff Chen [ctb], Walt Kampas [ctb]
Maintainer: Andrea Batch <Andrea.Julca@bea.gov>

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Package bayesDP updated to version 1.3.0 with previous version 1.2.2 dated 2017-08-17

Title: Tools for the Bayesian Discount Prior Function
Description: Functions for data augmentation using the Bayesian discount prior function for 1 arm and 2 arm clinical trials.
Author: Shawn Balcome [cre], Donnie Musgrove [aut], Tarek Haddad [aut], Christopher Jackson [ctb] (For the ppexp R code that was ported to C++.)
Maintainer: Shawn Balcome <sbalcome@mdic.org>

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Package matdist updated to version 0.1.1 with previous version 0.1.0 dated 2017-10-16

Title: Matrix Variate Distributions
Description: Provides tools for computing densities and generating random samples from matrix variate distributions, including matrix normal, Wishart, matrix Student-t, matrix Dirichlet and matrix beta distributions. For complete disposition, see Gupta and Nagar (1999) <ISBN:978-1584880462>.
Author: Kisung You [aut, cre] (0000-0002-8584-459X)
Maintainer: Kisung You <kyou@nd.edu>

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Package DOBAD updated to version 1.0.6 with previous version 1.0.5 dated 2016-03-24

Title: Analysis of Discretely Observed Linear Birth-and-Death(-and-Immigration) Markov Chains
Description: Provides Frequentist (EM) and Bayesian (MCMC) Methods for Inference of Birth-Death-Immigration Markov Chains.
Author: Charles Doss, Vladimir Minin, Marc Suchard
Maintainer: Charles Doss <cdoss@umn.edu>

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Package HistDAWass updated to version 1.0.0 with previous version 0.1.8 dated 2017-10-06

Title: Histogram-Valued Data Analysis
Description: In the framework of Symbolic Data Analysis, a relatively new approach to the statistical analysis of multi-valued data, we consider histogram-valued data, i.e., data described by univariate histograms. The methods and the basic statistics for histogram-valued data are mainly based on the L2 Wasserstein metric between distributions, i.e., the Euclidean metric between quantile functions. The package contains unsupervised classification techniques, least square regression and tools for histogram-valued data and for histogram time series. An introducing paper is Irpino A. Verde R. (2015) <doi:10.1007/s11634-014-0176-4>.
Author: Antonio Irpino [aut, cre]
Maintainer: Antonio Irpino <antonio.irpino@unicampania.it>

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Package sampleSelection updated to version 1.2-0 with previous version 1.0-4 dated 2015-11-03

Title: Sample Selection Models
Description: Two-step and maximum likelihood estimation of Heckman-type sample selection models: standard sample selection models (Tobit-2), endogenous switching regression models (Tobit-5), sample selection models with binary dependent outcome variable, interval regression with sample selection (only ML estimation), and endogenous treatment effects models.
Author: Arne Henningsen [aut, cre], Ott Toomet [aut], Sebastian Petersen [ctb]
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

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 vignettes/selection.bib                |   36 ++++
 vignettes/treatReg.Rnw                 |only
 56 files changed, 1099 insertions(+), 553 deletions(-)

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Package oddsratio updated to version 1.0.2 with previous version 1.0.0 dated 2017-06-12

Title: Odds Ratio Calculation for GAM(M)s & GLM(M)s
Description: Simplified odds ratio calculation of GAM(M)s & GLM(M)s. Provides structured output (data frame) of all predictors and their corresponding odds ratios and confident intervals for further analyses. It helps to avoid false references of predictors and increments by specifying these parameters in a list instead of using 'exp(coef(model))' (standard approach of odds ratio calculation for GLMs) which just returns a plain numeric output. For GAM(M)s, odds ratio calculation is highly simplified with this package since it takes care of the multiple 'predict()' calls of the chosen predictor while holding other predictors constant. Also, this package allows odds ratio calculation of percentage steps across the whole predictor distribution range for GAM(M)s. In both cases, confident intervals are returned additionally. Calculated odds ratio of GAM(M)s can be inserted into the smooth function plot.
Author: Patrick Schratz [aut, cre] (0000-0003-0748-6624)
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>

Diff between oddsratio versions 1.0.0 dated 2017-06-12 and 1.0.2 dated 2017-12-07

 DESCRIPTION                     |   16 ++++++++++------
 MD5                             |   11 ++++++-----
 NEWS                            |    9 ++++++++-
 NEWS.md                         |    7 ++++++-
 build/vignette.rds              |binary
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 7 files changed, 35 insertions(+), 18 deletions(-)

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Package MMDai updated to version 1.4.0 with previous version 1.3.0 dated 2017-10-02

Title: Multivariate Multinomial Distribution Approximation and Imputation for Incomplete Data
Description: Missingness in categorical data is a common problem in various real applications. Traditional approaches either utilize only the complete observations or impute the missing data by some ad hoc methods rather than the true conditional distribution of the missing data, thus losing or distorting the rich information in the partial observations. This package develops a Bayesian nonparametric approach, the Dirichlet Process Mixture of Collapsed Product-Multinomials (DPMCPM, Wang et al. (2017) <arXiv:1712.02214v1>), to model the full data jointly and compute the model efficiently. By fitting an infinite mixture of product-multinomial distributions, DPMCPM is applicable for any categorical data regardless of the true distribution, which may contain complex association among variables. Under the framework of latent class analysis, we show that DPMCPM can model general missing mechanisms by creating an extra category to denote missingness, which implicitly integrates out the missing part with regard to their true conditional distribution.
Author: Chaojie Wang
Maintainer: Chaojie Wang <wang910930@163.com>

Diff between MMDai versions 1.3.0 dated 2017-10-02 and 1.4.0 dated 2017-12-07

 DESCRIPTION        |   19 +++++++++++++------
 MD5                |   10 +++++-----
 R/ParEst.R         |   11 +++++++++++
 R/kIdentifier.R    |   10 ++++++++++
 man/ParEst.Rd      |   12 ++++++++++++
 man/kIdentifier.Rd |   11 +++++++++++
 6 files changed, 62 insertions(+), 11 deletions(-)

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New package GetDFPData with initial version 0.5
Package: GetDFPData
Title: Reading Annual Financial Reports from Bovespa's DFP, FRE and FCA System
Version: 0.5
Date: 2017-12-07
Authors@R: person("Marcelo", "Perlin", email = "marceloperlin@gmail.com", role = c("aut", "cre"))
Description: Reads annual financial reports including assets, liabilities, dividends history, stockholder composition and much more from Bovespa's DFP, FRE and FCA systems <http://www.bmfbovespa.com.br/en_us/products/listed-equities-and-derivatives/equities/listed-companies.htm>. These are web based interfaces for all financial reports of companies traded at Bovespa. The package is especially designed for large scale data importation, keeping a tabular (long) structure for easier processing.
Depends: R (>= 3.3.0)
Imports: stringr, XML, dplyr, readr, reshape2, tibble, xlsx, stats, curl
License: GPL-2
BugReports: https://github.com/msperlin/GetDFPData/issues
URL: https://github.com/msperlin/GetDFPData/
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-12-07 14:49:30 UTC; msperlin
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>
Repository: CRAN
Date/Publication: 2017-12-07 15:10:44 UTC

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Package udpipe updated to version 0.2.2 with previous version 0.2.1 dated 2017-12-06

Title: Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the 'UDPipe' 'NLP' Toolkit
Description: This natural language processing toolkit provides language-agnostic 'tokenization', 'parts of speech tagging', 'lemmatization' and 'dependency parsing' of raw text. Next to text parsing, the package also allows you to train annotation models based on data of 'treebanks' in 'CoNLL-U' format as provided at <http://universaldependencies.org/format.html>. The techniques are explained in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe', available at <doi:10.18653/v1/K17-3009>.
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic [cph], Milan Straka [cph], Jana Strakov√° [cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between udpipe versions 0.2.1 dated 2017-12-06 and 0.2.2 dated 2017-12-07

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Package Compind updated to version 1.2.1 with previous version 1.2 dated 2017-06-20

Title: Composite Indicators Functions
Description: Contains several functions to enhance approaches to the Composite Indicators methods, focusing, in particular, on the normalisation and weighting-aggregation steps.
Author: Francesco Vidoli, Elisa Fusco
Maintainer: Francesco Vidoli <fvidoli@gmail.com>

Diff between Compind versions 1.2 dated 2017-06-20 and 1.2.1 dated 2017-12-07

 DESCRIPTION               |    8 ++++----
 MD5                       |   10 +++++-----
 NEWS                      |    6 ++++++
 R/ci_geom_bod_intertemp.R |    3 ++-
 R/ci_geom_gen.R           |    2 +-
 build/vignette.rds        |binary
 6 files changed, 18 insertions(+), 11 deletions(-)

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New package togglr with initial version 0.1.3
Package: togglr
Type: Package
Title: 'Toggl.com' Api for 'Rstudio'
Version: 0.1.3
Authors@R: person("Vincent", "Guyader", email = "vincent@thinkr.fr", role = c("aut", "cre"))
Description: Use the <http://toggl.com> time tracker api through R.
License: GPL-3
LazyData: TRUE
Imports: rstudioapi, lubridate, httr, jsonlite, magrittr, prettyunits, dplyr, assertthat, purrr, glue, getPass, keyring
RoxygenNote: 6.0.1
BugReports: https://github.com/ThinkR-open/togglr/issues
URL: https://github.com/ThinkR-open/togglr
ByteCompile: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-12-07 11:26:59 UTC; vincent
Author: Vincent Guyader [aut, cre]
Maintainer: Vincent Guyader <vincent@thinkr.fr>
Repository: CRAN
Date/Publication: 2017-12-07 12:21:52 UTC

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New package PlackettLuce with initial version 0.2-1
Package: PlackettLuce
Type: Package
Title: Plackett-Luce Models for Rankings
Version: 0.2-1
Authors@R: c(person("Heather", "Turner", email = "ht@heatherturner.net", role = c("aut", "cre")), person("Ioannis", "Kosmidis", role = "aut"), person("David", "Firth", role = "aut"), person("Jacob", "van Etten", role = "ctb"))
URL: https://hturner.github.io/PlackettLuce/
BugReports: https://github.com/hturner/PlackettLuce/issues
Description: Functions to prepare rankings data and fit the Plackett-Luce model jointly attributed to Plackett (1975) <doi:10.2307/2346567> and Luce (1959, ISBN:0486441369). The standard Plackett-Luce model is generalized to accommodate ties of any order in the ranking. Partial rankings, in which only a subset of items are ranked in each ranking, are also accommodated in the implementation. Disconnected/weakly connected networks implied by the rankings are handled by adding pseudo-rankings with a hypothetical item. Methods are provided to estimate standard errors or quasi-standard errors for inference as well as to fit Plackett-Luce trees. See the package website or vignette for full details.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: MASS, Matrix, igraph, partykit, psychotools, rARPACK, qvcalc, sandwich, stats
Suggests: BiocStyle, BradleyTerry2, BradleyTerryScalable, Matrix.utils, PLMIX, StatRank, covr, hyper2, kableExtra, knitr, lbfgs, gnm, pmr, psychotree, rmarkdown, testthat, tibble
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-12-07 11:08:17 UTC; hturner
Author: Heather Turner [aut, cre], Ioannis Kosmidis [aut], David Firth [aut], Jacob van Etten [ctb]
Maintainer: Heather Turner <ht@heatherturner.net>
Repository: CRAN
Date/Publication: 2017-12-07 12:14:38 UTC

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New package alR with initial version 2.2.2
Package: alR
Version: 2.2.2
Date: 2017-12-07
Title: Arc Lengths of Statistical Functions
Description: Estimation, regression and classification are redefined using a mathematically intractible measure, namely, the arc length. Functions for parameter estimation, goodness-of-fit and regression (linear and non-linear) are provided. These methods have been implemented with parallel computing in mind, and may therefore be executed on large clusters.
Depends: R (>= 3.2)
Imports: alabama, pbdMPI, DEoptimR, Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
Author: M Theodor Loots <theodor.loots@up.ac.za>
Maintainer: M Theodor Loots <theodor.loots@up.ac.za>
License: GPL (>= 2)
URL: https://github.com/mtloots/alR
RoxygenNote: 6.0.1
Suggests: testthat
LazyData: true
NeedsCompilation: yes
Packaged: 2017-12-07 10:27:05 UTC; User
Repository: CRAN
Date/Publication: 2017-12-07 12:02:24 UTC

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New package TukeyRegion with initial version 0.1.0
Package: TukeyRegion
Type: Package
Title: Tukey Region and Median
Version: 0.1.0
Date: 2017-12-07
Authors@R: c(person("C. Bradford", "Barber", role = c("aut", "cph")), person("The Geometry Center", "University of Minnesota", role = c("cph")), person("Andrew", "Makhorin", role = c("aut", "cph")), person("Timothy A.", "Davis", role = c("aut", "cph")), person("Patrick R.", "Amestoy", role = c("aut", "cph")), person("Iain S.", "Duff", role = c("aut", "cph")), person("John K.", "Reid", role = c("aut", "cph")), person("Stefan I.", "Larimore", role = c("aut")), person("Jean-loup", "Gailly", role = c("aut", "cph")), person("Mark", "Adler", role = c("aut", "cph")), person("Niklas", "Sorensson", role = c("aut", "cph")), person("Giorgio", "Sartor", role = c("aut")), person("Heinrich", "Schuchardt", role = c("aut")), person("Cosmin", "Truta", role = c("ctb")), person("Alan", "Mishchenko", role = c("ctb")), person("Tamas", "Badics", role = c("ctb")), person("Pavlo", "Mozharovskyi", role = c("aut", "cre"), email = "pavlo.mozharovskyi@ensai.fr"))
Description: Tukey regions are polytopes in the Euclidean space, viz. upper-level sets of the Tukey depth function on given data. The bordering hyperplanes of a Tukey region are computed as well as its vertices, facets, centroid, and volume. In addition, the Tukey median set, which is the non-empty Tukey region having highest depth level, and its barycenter (= Tukey median) are calculated. Tukey regions are visualized in dimension two and three. For details see Liu, Mosler, and Mozharovskyi (2017) <arXiv:1412.5122>.
License: GPL (>= 3) | file LICENSE
SystemRequirements: C++11
Depends: rgl,ddalpha,MASS,bfp
Imports: Rcpp (>= 0.11.0)
LinkingTo: Rcpp,BH
NeedsCompilation: yes
Packaged: 2017-12-07 06:26:08 UTC; pavlo.mozharovskyi
Author: C. Bradford Barber [aut, cph], The Geometry Center University of Minnesota [cph], Andrew Makhorin [aut, cph], Timothy A. Davis [aut, cph], Patrick R. Amestoy [aut, cph], Iain S. Duff [aut, cph], John K. Reid [aut, cph], Stefan I. Larimore [aut], Jean-loup Gailly [aut, cph], Mark Adler [aut, cph], Niklas Sorensson [aut, cph], Giorgio Sartor [aut], Heinrich Schuchardt [aut], Cosmin Truta [ctb], Alan Mishchenko [ctb], Tamas Badics [ctb], Pavlo Mozharovskyi [aut, cre]
Maintainer: Pavlo Mozharovskyi <pavlo.mozharovskyi@ensai.fr>
Repository: CRAN
Date/Publication: 2017-12-07 11:35:25 UTC

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New package recurse with initial version 1.0.0
Package: recurse
Type: Package
Title: Computes Revisitation Metrics for Trajectory Data
Version: 1.0.0
Date: 2017-12-07
Author: Chloe Bracis <cbracis@uw.edu>
Maintainer: Chloe Bracis <cbracis@uw.edu>
Description: Computes revisitation metrics for trajectory data, such as the number of revisitations for each location as well as the time spent for that visit and the time since the previous visit. Also includes functions to plot data.
License: MIT + file LICENSE
Imports: Rcpp (>= 0.12.7)
LinkingTo: Rcpp
Suggests: testthat, circular, prevR, scales, fields, methods, move, knitr, rmarkdown
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-12-07 10:25:27 UTC; bunch
Repository: CRAN
Date/Publication: 2017-12-07 11:55:24 UTC

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Package antaresProcessing updated to version 0.12 with previous version 0.11 dated 2017-07-13

Title: Antares Results Processing
Description: Process results generated by Antares, a powerful software developed by RTE to simulate and study electric power systems (more information about Antares here: <https://antares.rte-france.com>). This package provides functions to create new columns like net load, load factors, upward and downward margins or to compute aggregated statistics like economic surpluses of consumers, producers and sectors.
Author: Jalal-Edine ZAWAM [aut, cre], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], RTE [cph]
Maintainer: Jalal-Edine ZAWAM <jalal-edine.zawam@rte-france.com>

Diff between antaresProcessing versions 0.11 dated 2017-07-13 and 0.12 dated 2017-12-07

 antaresProcessing-0.11/antaresProcessing/R/ramps.R                                 |only
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 antaresProcessing-0.12/antaresProcessing/R/addNetLoad.R                            |  142 +--
 antaresProcessing-0.12/antaresProcessing/R/addUpwardMargin.R                       |  188 ++--
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 antaresProcessing-0.12/antaresProcessing/man/surplusClusters.Rd                    |    4 
 antaresProcessing-0.12/antaresProcessing/man/surplusSectors.Rd                     |    5 
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 antaresProcessing-0.12/antaresProcessing/tests/testthat/helper_init.R              |   64 +
 antaresProcessing-0.12/antaresProcessing/tests/testthat/test-addDownwardMargin.R   |  140 +--
 antaresProcessing-0.12/antaresProcessing/tests/testthat/test-addLoadFactorLink.R   |  127 +--
 antaresProcessing-0.12/antaresProcessing/tests/testthat/test-addUpwardMargin.R     |  159 +--
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 antaresProcessing-0.12/antaresProcessing/tests/testthat/test-externalDependency.R  |  160 +--
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 antaresProcessing-0.12/antaresProcessing/tests/testthat/test-modulation.R          |  114 +-
 antaresProcessing-0.12/antaresProcessing/tests/testthat/test-netLoad.R             |   85 +-
 antaresProcessing-0.12/antaresProcessing/tests/testthat/test-netLoadRamp.R         |only
 antaresProcessing-0.12/antaresProcessing/tests/testthat/test-onLoad.R              |only
 antaresProcessing-0.12/antaresProcessing/tests/testthat/test-surplus.R             |  148 +--
 antaresProcessing-0.12/antaresProcessing/tests/testthat/test-thermalGeneration.R   |only
 56 files changed, 2595 insertions(+), 2239 deletions(-)

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New package EpiILMCT with initial version 1.0
Package: EpiILMCT
Title: Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics
Version: 1.0
Date: 2017-12-05
Author: Waleed Almutiry, Vineetha Warriyar K. V. and Rob Deardon
Maintainer: Waleed Almutiry <walmutir@uoguelph.ca>
Description: Provides tools for simulating from continuous-time individual level models of disease transmission, and carrying out infectious disease data analyses with the same models. The epidemic models considered are distance-based and contact network-based models within Susceptible-Infectious-Removed (SIR) or Susceptible-Infectious-Notified-Removed (SINR) compartmental frameworks.
Depends: graphics, grDevices, stats, utils, R (>= 3.2.0)
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2017-12-06 21:46:13 UTC; waleed
Repository: CRAN
Date/Publication: 2017-12-07 10:03:45 UTC

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Package Rlinsolve updated to version 0.1.2 with previous version 0.1.1 dated 2017-10-07

Title: Iterative Solvers for (Sparse) Linear System of Equations
Description: Solving a system of linear equations is one of the most fundamental computational problems for many fields of mathematical studies, such as regression problems from statistics or numerical partial differential equations. We provide basic stationary iterative solvers such as Jacobi, Gauss-Seidel, Successive Over-Relaxation and SSOR methods. Nonstationary, also known as Krylov subspace methods are also provided. Sparse matrix computation is also supported in that solving large and sparse linear systems can be manageable using 'Matrix' package along with 'RcppArmadillo'. For a more detailed description, see a book by Saad (2003) <doi:10.1137/1.9780898718003>.
Author: Kisung You [aut, cre] (0000-0002-8584-459X)
Maintainer: Kisung You <kyou@nd.edu>

Diff between Rlinsolve versions 0.1.1 dated 2017-10-07 and 0.1.2 dated 2017-12-07

 DESCRIPTION                    |   13 +++++----
 MD5                            |   56 +++++++++++++++++++++--------------------
 R/lsolve_BICG.R                |    9 ++++--
 R/lsolve_BICGSTAB.R            |    5 ++-
 R/lsolve_CG.R                  |    4 ++
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 R/lsolve_CHEBY.R               |    4 ++
 R/lsolve_GMRES.R               |    5 ++-
 R/lsolve_GS.R                  |    4 ++
 R/lsolve_JACOBI.R              |    5 ++-
 R/lsolve_QMR.R                 |    5 ++-
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Package plotrix updated to version 3.7 with previous version 3.6-6 dated 2017-08-16

Title: Various Plotting Functions
Description: Lots of plots, various labeling, axis and color scaling functions.
Author: Jim Lemon, Ben Bolker, Sander Oom, Eduardo Klein, Barry Rowlingson, Hadley Wickham, Anupam Tyagi, Olivier Eterradossi, Gabor Grothendieck, Michael Toews, John Kane, Rolf Turner, Carl Witthoft, Julian Stander, Thomas Petzoldt, Remko Duursma, Elisa Biancotto, Ofir Levy, Christophe Dutang, Peter Solymos, Robby Engelmann, Michael Hecker, Felix Steinbeck, Hans Borchers, Henrik Singmann, Ted Toal, Derek Ogle, Darshan Baral, Ulrike Groemping
Maintainer: Jim Lemon <drjimlemon@gmail.com>

Diff between plotrix versions 3.6-6 dated 2017-08-16 and 3.7 dated 2017-12-07

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Package MazamaSpatialUtils updated to version 0.5.2 with previous version 0.5.1 dated 2017-08-03

Title: Spatial Data Download and Utility Functions
Description: A suite of conversion scripts to create internally standardized spatial polygons data frames. Utility scripts use these data sets to return values such as country, state, timezone, watershed, etc. associated with a set of longitude/latitude pairs. (They also make cool maps.)
Author: Jonathan Callahan [aut, cre], Ruby Fore [aut], Will Leahy [aut], Helen Miller [aut], Henry Nguyen [aut], Robin Winstanley [aut], Alice Yang [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between MazamaSpatialUtils versions 0.5.1 dated 2017-08-03 and 0.5.2 dated 2017-12-07

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More information about MazamaSpatialUtils at CRAN
Permanent link

Package manipulateWidget updated to version 0.8.0 with previous version 0.7.0 dated 2017-06-17

Title: Add Even More Interactivity to Interactive Charts
Description: Like package 'manipulate' does for static graphics, this package helps to easily add controls like sliders, pickers, checkboxes, etc. that can be used to modify the input data or the parameters of an interactive chart created with package 'htmlwidgets'.
Author: Jalal-Edine ZAWAM [aut, cre], Francois Guillem [aut], RTE [cph], JJ Allaire [ctb], Marion Praz [ctb] (New user interface), Benoit Thieurmel [ctb], Titouan Robert [ctb]
Maintainer: Jalal-Edine ZAWAM <jalal-edine.zawam@rte-france.com>

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Package LabourMarketAreas updated to version 3.2 with previous version 3.1 dated 2017-08-29

Title: Identification, Tuning, Visualisation and Analysis of Labour Market Areas
Description: Produces Labour Market Areas from commuting flows available at elementary territorial units. It provides tools for automatic tuning based on spatial contiguity. It also allows for statistical analyses and visualisation of the new functional geography.
Author: Daniela Ichim, Luisa Franconi, Michele D'Alo', Guido van den Heuvel
Maintainer: Luisa Franconi <franconi@istat.it>

Diff between LabourMarketAreas versions 3.1 dated 2017-08-29 and 3.2 dated 2017-12-07

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Permanent link

Package jpndistrict updated to version 0.3.0 with previous version 0.2.0 dated 2017-07-23

Title: Create Japanese Administration Area and Office Maps
Description: Utilizing the data that Japanese administration area provided by the National Land Numerical Information download service (<http://nlftp.mlit.go.jp/ksj/index.html>). This package provide map data is based on the Digital Map 25000(Map Image) published by Geospatial Information Authority of Japan (Approval No.603FY2017 information usage <http://www.gsi.go.jp>).
Author: Shinya Uryu [aut, cre] (0000-0002-0493-6186), Geospatial Information Authority of Japan [dtc] (This package data sets, National Land numerical information by the Geographical Survey Institute with the approval of Geographical Survey Institute Head (Approval No.603FY2017 information usage))
Maintainer: Shinya Uryu <suika1127@gmail.com>

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New package FixedPoint with initial version 0.1
Package: FixedPoint
Type: Package
Title: Algorithms for Finding Fixed Point Vectors of Functions
Version: 0.1
Author: Stuart Baumann & Margaryta Klymak
Maintainer: Stuart Baumann <Stuart@StuartBaumann.com>
Description: For functions that take and return vectors (or scalars), this package provides 8 algorithms for finding fixed point vectors (vectors for which the inputs and outputs to the function are the same vector). These algorithms include Anderson (1965) acceleration <doi:10.1145/321296.321305>, epsilon extrapolation methods (Wynn 1962 <doi:10.2307/2004051>) and minimal polynomial methods (Cabay and Jackson 1976 <doi:10.1137/0713060>).
License: MIT + file LICENSE
Depends: MASS
Suggests: testthat, schumaker, cubature, knitr, foreach, doParallel
LazyData: TRUE
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-12-06 19:48:14 UTC; stuar
Repository: CRAN
Date/Publication: 2017-12-07 09:59:17 UTC

More information about FixedPoint at CRAN
Permanent link

Package icenReg updated to version 2.0.7 with previous version 2.0.6 dated 2017-11-06

Title: Regression Models for Interval Censored Data
Description: Regression models for interval censored data. Currently supports Cox-PH, proportional odds, and accelerated failure time models. Allows for semi and fully parametric models (parametric only for accelerated failure time models) and Bayesian parametric models. Includes functions for easy visual diagnostics of model fits and imputation of censored data.
Author: Clifford Anderson-Bergman
Maintainer: Clifford Anderson-Bergman <pistacliffcho@gmail.com>

Diff between icenReg versions 2.0.6 dated 2017-11-06 and 2.0.7 dated 2017-12-07

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Permanent link

Package EpiILM updated to version 1.3 with previous version 1.2 dated 2017-04-21

Title: Spatial and Network Based Individual Level Models for Epidemics
Description: Provides tools for simulating from discrete-time individual level models for infectious disease data analysis. This epidemic model class contains spatial and contact-network based models with two disease types: Susceptible-Infectious (SI) and Susceptible-Infectious-Removed (SIR).
Author: Vineetha Warriyar. K. V. and Rob Deardon
Maintainer: Vineetha Warriyar. K. V. <vineethawarriyar.kod@ucalgary.ca>

Diff between EpiILM versions 1.2 dated 2017-04-21 and 1.3 dated 2017-12-07

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More information about EpiILM at CRAN
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