Mon, 11 Dec 2017

Package rmcfs updated to version 1.2.8 with previous version 1.2.7 dated 2017-11-24

Title: The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery
Description: MCFS-ID (Monte Carlo Feature Selection and Interdependency Discovery) is a Monte Carlo method-based tool for feature selection. It also allows for the discovery of interdependencies between the relevant features. MCFS-ID is particularly suitable for the analysis of high-dimensional, 'small n large p' transactional and biological data. M.Draminski, A.Rada-Iglesias, S.Enroth, C.Wadelius, J. Koronacki, J.Komorowski (2008) <doi:10.1093/bioinformatics/btm486>.
Author: Michal Draminski [aut, cre], Jacek Koronacki [aut], Julian Zubek [ctb]
Maintainer: Michal Draminski <michal.draminski@ipipan.waw.pl>

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Package doMC updated to version 1.3.5 with previous version 1.3.4 dated 2015-10-13

Title: Foreach Parallel Adaptor for 'parallel'
Description: Provides a parallel backend for the %dopar% function using the multicore functionality of the parallel package.
Author: Rich Calaway [cre], Revolution Analytics [aut, cph], Steve Weston [aut]
Maintainer: Rich Calaway <richcala@microsoft.com>

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Package blogdown updated to version 0.4 with previous version 0.3 dated 2017-11-13

Title: Create Blogs and Websites with R Markdown
Description: Write blog posts and web pages in R Markdown. This package supports the static site generator 'Hugo' (<https://gohugo.io>) best, and it also supports 'Jekyll' (<http://jekyllrb.com>) and 'Hexo' (<https://hexo.io>).
Author: Yihui Xie [aut, cre] (0000-0003-0645-5666), Beilei Bian [ctb], Forest Fang [ctb], Hiroaki Yutani [ctb], JJ Allaire [ctb], Kevin Ushey [ctb], RStudio Inc [cph]
Maintainer: Yihui Xie <xie@yihui.name>

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Package RMariaDB updated to version 1.0-4 with previous version 1.0-2 dated 2017-10-04

Title: Database Interface and 'MariaDB' Driver
Description: Implements a 'DBI'-compliant interface to 'MariaDB' (<https://mariadb.org/>) and 'MySQL' (<https://www.mysql.com/>) databases.
Author: Kirill Müller [aut, cre], Jeroen Ooms [aut], David James [aut], Saikat DebRoy [aut], Hadley Wickham [aut], Jeffrey Horner [aut], RStudio [cph], Kungliga Tekniska Högskolan [ctb] (Source code for timegm)
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package junr updated to version 0.1.3 with previous version 0.1.2 dated 2017-08-09

Title: Access Open Data Through the 'Junar' API
Description: The 'Junar' API is a commercial platform to organize and publish data <http://www.junar.com>. It has been used in a number of national and local government Open Data initiatives in Latin America and the USA. This package is a wrapper to make it easier to access data made public through the 'Junar' API.
Author: Frans van Dunné [aut, cre]
Maintainer: Frans van Dunné <frans@ixpantia.com>

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Package imp4p updated to version 0.5 with previous version 0.4 dated 2017-06-01

Title: Imputation for Proteomics
Description: Functions to analyse missing value mechanisms and to impute data sets in the context of bottom-up MS-based proteomics.
Author: Quentin Giai Gianetto
Maintainer: Quentin Giai Gianetto <quentin2g@yahoo.fr>

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Package catlearn updated to version 0.5 with previous version 0.4 dated 2017-02-23

Title: Formal Psychological Models of Categorization and Learning
Description: Formal psychological models of categorization and learning, independently-replicated data sets against which to test them, and simulation archives.
Author: Andy Wills, Lenard Dome, Charlotte Edmunds, Garrett Honke, Angus Inkster, Rene Schegelmilch, Stuart Spicer
Maintainer: Andy Wills <andy@willslab.co.uk>

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Package survivalMPL updated to version 0.2 with previous version 0.1.2 dated 2017-10-13

Title: Penalised Maximum Likelihood for Survival Analysis Models
Description: Estimate the regression coefficients and the baseline hazard of proportional hazard Cox models using maximum penalised likelihood. A 'non-parametric' smooth estimate of the baseline hazard function is provided.
Author: Dominique-Laurent Couturier, Jun Ma, Stephane Heritier, Maurizio Manuguerra.
Maintainer: Maurizio Manuguerra <maurizio.manuguerra@mq.edu.au>

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Package snplist updated to version 0.18.1 with previous version 0.18 dated 2017-08-14

Title: Tools to Create Gene Sets
Description: A set of functions to create SQL tables of gene and SNP information and compose them into a SNP Set, for example for use with the RSNPset package, or to export to a PLINK set.
Author: Chanhee Yi, Alexander Sibley, and Kouros Owzar
Maintainer: Alexander Sibley <alexander.sibley@dm.duke.edu>

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Package incR updated to version 1.0.2 with previous version 1.0.1 dated 2017-10-20

Title: Analysis of Incubation Data
Description: Suite of functions to study animal incubation. At the core of incR lays an algorithm that allows for the scoring of incubation behaviour. Additionally, several functions extract biologically relevant metrics of incubation such as off-bout number and off-bout duration - for a review of avian incubation studies, see Nests, Eggs, and Incubation: New ideas about avian reproduction (2015) edited by D. Charles Deeming and S. James Reynolds <doi:10.1093/acprof:oso/9780198718666.001.0001>.
Author: Pablo Capilla-Lasheras [aut, cre]
Maintainer: Pablo Capilla-Lasheras <pacapilla@gmail.com>

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Package qrnn updated to version 2.0.1 with previous version 2.0 dated 2017-12-05

Title: Quantile Regression Neural Network
Description: Fit quantile regression neural network models with optional left censoring, partial monotonicity constraints, generalized additive model constraints, and the ability to fit multiple non-crossing quantile functions following Cannon (2011) <doi:10.1016/j.cageo.2010.07.005> and Cannon (2017) <doi:10.17605/OSF.IO/WG7SN>.
Author: Alex J. Cannon
Maintainer: Alex J. Cannon <alex.cannon@canada.ca>

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New package osmose with initial version 0.1.0
Package: osmose
Type: Package
Title: Object Oriented Simulator of Marine Ecosystems
Version: 0.1.0
Date: 2017-12-06
Authors@R: c( person("Yunne-Jai", "Shin", role="aut"), person("Travers", "Morgane", role="aut"), person("Verley", "Philippe", role="aut"), person("Ricardo", "Oliveros-Ramos", role = "aut"), person("Laure", "Velez", role = "aut"), person("Nicolas", "Barrier", email="nicolas.barrier@ird.fr", role="cre"), person("Criscely", "Lujan", role="ctb"), person("Michael", "Hurtado", role = "ctb") )
Description: The multispecies and individual-based model (IBM) 'OSMOSE' (Shin and Curry (2001) <doi:10.1016/S0990-7440(01)01106-8> and Shin and Curry (2004) <doi:10.1139/f03-154>) focuses on fish species. This model assumes opportunistic predation based on spatial co-occurrence and size adequacy between a predator and its prey (size-based opportunistic predation). It represents fish individuals grouped into schools, which are characterized by their size, weight, age, taxonomy and geographical location (2D model), and which undergo major processes of fish life cycle (growth, explicit predation, natural and starvation mortalities, reproduction and migration) and fishing exploitation. The model needs basic biological parameters that are often available for a wide range of species, and which can be found in 'FishBase' for instance (see <http://www.fishbase.org/search.php>), and fish spatial distribution data. This package provides tools to build and run simulations using the 'OSMOSE' model.
License: CeCILL
Encoding: UTF-8
Depends: R (>= 2.15)
Imports: graphics, grDevices, rlist, stats, stringr, utils
URL: http://www.osmose-model.org/
LazyData: FALSE
BugReports: https://github.com/osmose-model/osmose/issues
SystemRequirements: Java JDK 1.7 or higher
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-12-11 17:16:51 UTC; nbarrier
Author: Yunne-Jai Shin [aut], Travers Morgane [aut], Verley Philippe [aut], Ricardo Oliveros-Ramos [aut], Laure Velez [aut], Nicolas Barrier [cre], Criscely Lujan [ctb], Michael Hurtado [ctb]
Maintainer: Nicolas Barrier <nicolas.barrier@ird.fr>
Repository: CRAN
Date/Publication: 2017-12-11 18:29:58 UTC

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Package isoph updated to version 1.1.2 with previous version 1.1.1 dated 2017-06-11

Title: Isotonic Proportional Hazards Model
Description: Nonparametric estimation of an isotonic covariate effect for proportional hazards model.
Author: Yunro Chung [cre], Anastasia Ivanova, Michael G. Hudgens and Jason P. Fine
Maintainer: Yunro Chung <ychung@fredhutch.org>

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Package inferr updated to version 0.2.0 with previous version 0.1.1 dated 2017-05-02

Title: Inferential Statistics
Description: Select set of parametric and non-parametric statistical tests. 'inferr' builds upon the solid set of statistical tests provided in 'stats' package by including additional data types as inputs, expanding and restructuring the test results. The tests included are t tests, variance tests, proportion tests, chi square tests, Levene's test, McNemar Test, Cochran's Q test and Runs test.
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>

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Package reshape2 updated to version 1.4.3 with previous version 1.4.2 dated 2016-10-22

Title: Flexibly Reshape Data: A Reboot of the Reshape Package
Description: Flexibly restructure and aggregate data using just two functions: melt and 'dcast' (or 'acast').
Author: Hadley Wickham <h.wickham@gmail.com>
Maintainer: Hadley Wickham <h.wickham@gmail.com>

Diff between reshape2 versions 1.4.2 dated 2016-10-22 and 1.4.3 dated 2017-12-11

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More information about reshape2 at CRAN
Permanent link

Package gamlss.dist updated to version 5.0-4 with previous version 5.0-3 dated 2017-10-24

Title: Distributions for Generalized Additive Models for Location Scale and Shape
Description: A set of distributions which can be used for modelling the response variables in Generalized Additive Models for Location Scale and Shape, Rigby and Stasinopoulos (2005), <doi:10.1111/j.1467-9876.2005.00510.x>. The distributions can be continuous, discrete or mixed distributions. Extra distributions can be created, by transforming, any continuous distribution defined on the real line, to a distribution defined on ranges 0 to infinity or 0 to 1, by using a "log" or a "logit" transformation respectively.
Author: c(person("Mikis", "Stasinopoulos", role = c("aut", "cre", "cph"), email = "mikis.stasinopoulos@gamlss.org"), person("Bob", "Rigby", role = c("aut")), person("Calliope", "Akantziliotou", role = "ctb"), person("Vlasios", "Voudouris", role = "ctb", email= "vlasios.voudouris@abm-analytics.com"), person("Gillian", "Heller", role = "ctb"), person("Raydonal", "Ospina", role = "ctb", email= "rospina@ime.usp.br"), person("Nicoletta", "Motpan", role = "ctb"), person("Fiona", "McElduff", role = "ctb"), person("Majid", "Djennad", role = "ctb"), person("Marco", "Enea", role = "ctb"), person("Alexios", "Ghalanos", role = "ctb"), person("Christos", "Argyropoulos", role = "ctb") )
Maintainer: Mikis Stasinopoulos <mikis.stasinopoulos@gamlss.org>

Diff between gamlss.dist versions 5.0-3 dated 2017-10-24 and 5.0-4 dated 2017-12-11

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Permanent link

New package support with initial version 0.1.0
Package: support
Type: Package
Title: Support Points
Version: 0.1.0
Author: Simon Mak
Maintainer: Simon Mak <smak6@gatech.edu>
Description: Provides the function sp() for generating the support points proposed in Mak and Joseph (2017) <arXiv:1609.01811>. Support points are representative points of a possibly non-uniform distribution, and can be used as optimal sampling or integration points for a distribution of choice. The provided function sp() can be used to generate support points for standard distributions or for reducing big data (e.g., from Markov-chain Monte Carlo methods). A detailed description of the algorithm is found in Mak and Joseph (2017).
License: GPL (>= 2)
LazyData: TRUE
Imports: Rcpp (>= 0.12.4), randtoolbox, matrixStats, doParallel, nloptr, MHadaptive
LinkingTo: Rcpp, RcppArmadillo, BH
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-12-11 15:13:08 UTC; Simon
Repository: CRAN
Date/Publication: 2017-12-11 15:31:36 UTC

More information about support at CRAN
Permanent link

Package europepmc updated to version 0.2 with previous version 0.1.4 dated 2017-03-20

Title: R Interface to the Europe PubMed Central RESTful Web Service
Description: An R Client for the Europe PubMed Central RESTful Web Service (see <https://europepmc.org/RestfulWebService> for more information). It gives access to both metadata on life science literature and open access full texts. Europe PMC indexes all PubMed content and other literature sources including Agricola, a bibliographic database of citations to the agricultural literature, or Biological Patents. In addition to bibliographic metadata, the client allows users to fetch citations and reference lists. Links between life-science literature and other EBI databases, including ENA, PDB or ChEMBL are also accessible. No registration or API key is required. See the vignettes for usage examples.
Author: Najko Jahn [aut, cre, cph], Maëlle Salmon [ctb]
Maintainer: Najko Jahn <najko.jahn@gmail.com>

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New package dyncomp with initial version 0.0.1-5
Package: dyncomp
Type: Package
Title: Complexity of Short and Coarse-Grained Time Series
Version: 0.0.1-5
Author: Tim Kaiser
Maintainer: Tim Kaiser <Tim.Kaiser@sbg.ac.at>
Depends: zoo
Description: While there are many well-established measures for identifying critical fluctuations and phase transitions, these measures only work with many points of measurement and thus are unreliable when studying short and coarse-grained time series. This package provides a measure for complexity in a time series that does not rely on long time series (Kaiser (2017), <doi:10.17605/OSF.IO/GWTKX>).
License: MIT + file LICENSE
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-12-11 15:31:47 UTC; tim
Repository: CRAN
Date/Publication: 2017-12-11 15:42:48 UTC

More information about dyncomp at CRAN
Permanent link

Package descriptr updated to version 0.3.0 with previous version 0.2.0 dated 2017-08-31

Title: Generate Descriptive Statistics & Explore Statistical Distributions
Description: Generate descriptive statistics such as measures of location, dispersion, frequency tables, cross tables, group summaries and multiple one/two way tables. Visualize and compute percentiles/probabilities of normal, t, f, chi square and binomial distributions.
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>

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New package BullsEyeR with initial version 0.1.0
Package: BullsEyeR
Type: Package
Title: Topic Modelling
Version: 0.1.0
Date: 2017-12-11
Author: Krishna Harsha
Maintainer: Krishna Harsha <khkrishnaharsha123@gmail.com>
Depends: tm, NLP, topicmodels, Matrix, slam
Description: Helps in initial processing like converting text to lower case, removing punctuation, numbers, stop words, stemming, sparsity control and term frequency inverse document frequency processing. Helps in recognizing domain or corpus specific stop words. Makes use of 'ldatunig' output to pick optimal number of topics for topic modelling. Helps in extracting dominant words or key words that represent the context/topics of the content in each document.
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-12-11 13:44:55 UTC; 619036
Repository: CRAN
Date/Publication: 2017-12-11 15:25:24 UTC

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Permanent link

Package mdsOpt updated to version 0.2-2 with previous version 0.2-1 dated 2017-12-03

Title: Searching for Optimal MDS Procedure for Metric and Interval-Valued Symbolic Data
Description: Selecting the optimal multidimensional scaling (MDS) procedure for metric data via metric MDS (ratio, interval, mspline) and nonmetric MDS (ordinal). Selecting the optimal multidimensional scaling (MDS) procedure for interval-valued symbolic data via metric MDS (ratio, interval, mspline). Selecting the optimal MDS procedure for statistical data referring to the evaluation of tourist attractiveness of Lower Silesian counties (BORG I., GROENEN P.J.F., MAIR P., (2013) <doi:10.1007/978-3-642-31848-1>, DE LEEUW J., MAIR P., (2015) <doi:10.1002/9781118445112.stat06268.pub2>, WALESIAK M., (2016) <doi:10.15611/ekt.2016.2.01>).
Author: Marek Walesiak <marek.walesiak@ue.wroc.pl>, Andrzej Dudek <andrzej.dudek@ue.wroc.pl>
Maintainer: Andrzej Dudek <andrzej.dudek@ue.wroc.pl>

Diff between mdsOpt versions 0.2-1 dated 2017-12-03 and 0.2-2 dated 2017-12-11

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Package glmmTMB updated to version 0.2.0 with previous version 0.1.4 dated 2017-10-26

Title: Generalized Linear Mixed Models using Template Model Builder
Description: Fit linear and generalized linear mixed models with various extensions, including zero-inflation. The models are fitted using maximum likelihood estimation via 'TMB' (Template Model Builder). Random effects are assumed to be Gaussian on the scale of the linear predictor and are integrated out using the Laplace approximation. Gradients are calculated using automatic differentiation.
Author: Arni Magnusson [aut], Hans Skaug [aut], Anders Nielsen [aut], Casper Berg [aut], Kasper Kristensen [aut], Martin Maechler [aut], Koen van Bentham [aut], Ben Bolker [aut], Mollie Brooks [aut, cre]
Maintainer: Mollie Brooks <mollieebrooks@gmail.com>

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New package fitteR with initial version 0.1.0
Package: fitteR
Type: Package
Title: Fit Hundreds of Theoretical Distributions to Empirical Data
Version: 0.1.0
Date: 2017-12-11
Author: Markus Boenn
Maintainer: Markus Boenn <markus.boenn.sf@gmail.com>
Description: Systematic fit of hundreds of theoretical univariate distributions to empirical data via maximum likelihood estimation. Fits are reported and summarized by a data.frame, a csv file or a 'shiny' app (here with additional features like visual representation of fits). All output formats provide assessment of goodness-of-fit by the following methods: Kolmogorov-Smirnov test, Shapiro-Wilks test, Anderson-Darling test.
License: GPL (>= 2)
Depends: R (>= 3.3.0), methods
Imports: stats, utils, DT, shiny, dplyr, maxLik, R.utils, tools
Suggests: actuar, ald, benchden, BiasedUrn, bridgedist, Davies, DiscreteInverseWeibull, DiscreteLaplace, DiscreteWeibull, emdbook, emg, EnvStats, evd, evir, ExtDist, extremefit, FAdist, FatTailsR, fBasics, fExtremes, flexsurv, gambin, gb, GenBinomApps, GeneralizedHyperbolic, gld, GLDEX, glogis, GSM, hermite, HyperbolicDist, ihs, KScorrect, loglognorm, marg, mc2d, minimax, msm, nCDunnett, NormalLaplace, normalp, ParetoPosStable, PearsonDS, poistweedie, polyaAeppli, qmap, QRM, ReIns, reliaR, Renext, revdbayes, RMKdiscrete, RMTstat, sadists, skellam, SkewHyperbolic, skewt, SMR, sn, stabledist, STAR, statmod, trapezoid, triangle, truncnorm, VarianceGamma
NeedsCompilation: no
Packaged: 2017-12-11 08:26:09 UTC; mb61pezy
Repository: CRAN
Date/Publication: 2017-12-11 14:27:45 UTC

More information about fitteR at CRAN
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New package filling with initial version 0.1.0
Package: filling
Type: Package
Title: Matrix Completion, Imputation, and Inpainting Methods
Version: 0.1.0
Authors@R: person(given="Kisung",family="You",role=c("aut","cre"),email="kyou@nd.edu",comment=c(ORCID="0000-0002-8584-459X"))
Description: Filling in the missing entries of a partially observed data is one of fundamental problems in various disciplines of mathematical science. For many cases, data at our interests have canonical form of matrix in that the problem is posed upon a matrix with missing values to fill in the entries under preset assumptions and models. We provide a collection of methods from multiple disciplines under Matrix Completion, Imputation, and Inpainting. See Davenport and Romberg (2016) <doi:10.1109/JSTSP.2016.2539100> for an overview of the topic.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: stats, CVXR, Rcpp, Rdpack, ROptSpace, RSpectra, nabor
LinkingTo: Rcpp, RcppArmadillo
RdMacros: Rdpack
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-12-11 04:10:50 UTC; kisung
Author: Kisung You [aut, cre] (0000-0002-8584-459X)
Maintainer: Kisung You <kyou@nd.edu>
Repository: CRAN
Date/Publication: 2017-12-11 14:09:14 UTC

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Package ECharts2Shiny updated to version 0.2.13 with previous version 0.2.12 dated 2017-08-19

Title: Embedding Interactive Charts Generated with ECharts Library into Shiny Applications
Description: Embed interactive charts to their Shiny applications. These charts will be generated by ECharts library developed by Baidu (<http://echarts.baidu.com/>). Current version supports line chart, bar chart, pie chart, scatter plot, gauge, word cloud, radar chart, tree map, and heat map.
Author: Xiaodong Deng [aut, cre], Hao Zhu [ctr], Yiheng Li [ctr], Janet Wagner [ctr], ChinYong Lim [ctr]
Maintainer: Xiaodong Deng <xd_deng@hotmail.com>

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Package symbolicDA updated to version 0.4-3 with previous version 0.4-2 dated 2015-03-14

Title: Analysis of Symbolic Data
Description: Symbolic data analysis methods: importing/ exporting data from ASSO XML Files, distance calculation for symbolic data (Ichino-Yaguchi, de Carvalho measure), zoom star plot, 3d interval plot, multidimensional scaling for symbolic interval data, dynamic clustering based on distance matrix, HINoV method for symbolic data, Ichino's feature selection method, principal component analysis for symbolic interval data, decision trees for symbolic data based on optimal split with bagging, boosting and random forest approach (+visualization), kernel discriminant analysis for symbolic data, Kohonen's self-organizing maps for symbolic, replication and profiling, artificial symbolic data generation.
Author: Andrzej Dudek, Marcin Pelka <marcin.pelka@ue.wroc.pl>, Justyna Wilk<justyna.wilk@ue.wroc.pl>
Maintainer: Andrzej Dudek <andrzej.dudek@ue.wroc.pl>

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New package matrixsampling with initial version 1.0.0
Package: matrixsampling
Type: Package
Title: Simulations of Matrix Variate Distributions
Version: 1.0.0
Date: 2017-12-10
Author: Stéphane Laurent
Maintainer: Stéphane Laurent <laurent_step@yahoo.fr>
Description: Provides samplers for various matrix variate distributions: Wishart, inverse-Wishart, normal, t, inverted-t, Beta type I and Beta type II. Allows to simulate the noncentral Wishart distribution without the integer restriction on the degrees of freedom.
License: GPL-3
URL: https://github.com/stla/matrixsampling
BugReports: https://github.com/stla/matrixsampling/issues
Encoding: UTF-8
LazyData: true
Imports: stats, keep
ByteCompile: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-12-10 17:05:33 UTC; SDL96354
Repository: CRAN
Date/Publication: 2017-12-11 13:22:22 UTC

More information about matrixsampling at CRAN
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Package lexicon updated to version 0.6.3 with previous version 0.4.1 dated 2017-10-29

Title: Lexicons for Text Analysis
Description: A collection of lexical hash tables, dictionaries, and word lists.
Author: Tyler Rinker [aut, cre]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

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More information about lexicon at CRAN
Permanent link

Package TMB updated to version 1.7.12 with previous version 1.7.11 dated 2017-08-09

Title: Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'
Description: With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through 'BLAS' and parallel user templates.
Author: Kasper Kristensen [aut, cre, cph], Brad Bell [cph], Hans Skaug [ctb], Arni Magnusson [ctb], Casper Berg [ctb], Anders Nielsen [ctb], Martin Maechler [ctb], Theo Michelot [ctb], Mollie Brooks [ctb], Alex Forrence [ctb], Christoffer Moesgaard Albertsen [ctb], Cole Monnahan [ctb]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

Diff between TMB versions 1.7.11 dated 2017-08-09 and 1.7.12 dated 2017-12-11

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New package styler with initial version 1.0.0
Package: styler
Title: Non-Invasive Pretty Printing of R Code
Version: 1.0.0
Authors@R: c(person("Kirill", "Müller", role = c("aut"), email = "krlmlr+r@mailbox.org"), person("Lorenz", "Walthert", role = c("cre", "aut"), email = "lorenz.walthert@icloud.com"))
Description: Pretty-prints R code without changing the user's formatting intent.
Imports: backports, cli, enc, magrittr, purrr, rematch2, rlang, rprojroot, tibble, withr
Suggests: data.tree, dplyr, here, knitr, mockr, rmarkdown, rstudioapi, testthat
License: GPL-3
Encoding: UTF-8
LazyData: true
Date: 2017-12-05
BugReports: https://github.com/r-lib/styler/issues
URL: https://github.com/r-lib/styler, https://r-lib.github.io/styler/
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Collate: 'addins.R' 'communicate.R' 'compat-tidyr.R' 'dplyr.R' 'expr-is.R' 'indent.R' 'initialize.R' 'nest.R' 'nested_to_tree.R' 'parse.R' 'reindent.R' 'token-define.R' 'relevel.R' 'rules-line_break.R' 'rules-other.R' 'rules-replacement.R' 'rules-spacing.R' 'serialize.R' 'serialized_tests.R' 'set-assert-args.R' 'style_guides.R' 'styler.R' 'token-create.R' 'transform-code.R' 'transform-files.R' 'ui.R' 'unindent.R' 'utils.R' 'vertical.R' 'visit.R' 'zzz.R'
NeedsCompilation: no
Packaged: 2017-12-09 19:28:34 UTC; lorenz
Author: Kirill Müller [aut], Lorenz Walthert [cre, aut]
Maintainer: Lorenz Walthert <lorenz.walthert@icloud.com>
Repository: CRAN
Date/Publication: 2017-12-11 12:52:26 UTC

More information about styler at CRAN
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Package recurse updated to version 1.0.1 with previous version 1.0.0 dated 2017-12-07

Title: Computes Revisitation Metrics for Trajectory Data
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.
Author: Chloe Bracis <cbracis@uw.edu>
Maintainer: Chloe Bracis <cbracis@uw.edu>

Diff between recurse versions 1.0.0 dated 2017-12-07 and 1.0.1 dated 2017-12-11

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 tests/testthat/test_recurse.R      |   14 ++++++++++++++
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Package gamlss updated to version 5.0-6 with previous version 5.0-5 dated 2017-11-12

Title: Generalised Additive Models for Location Scale and Shape
Description: Functions for fitting the Generalized Additive Models for Location Scale and Shape introduced by Rigby and Stasinopoulos (2005), <doi:10.1111/j.1467-9876.2005.00510.x>. The models use a distributional regression approach where all the parameters of the conditional distribution of the response variable are modelled using explanatory variables.
Author: Mikis Stasinopoulos [aut, cre, cph], Bob Rigby [aut], Vlasios Voudouris [ctb], Calliope Akantziliotou [ctb], Marco Enea [ctb], Daniil Kiose [ctb]
Maintainer: Mikis Stasinopoulos <mikis.stasinopoulos@gamlss.org>

Diff between gamlss versions 5.0-5 dated 2017-11-12 and 5.0-6 dated 2017-12-11

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Package epiR updated to version 0.9-93 with previous version 0.9-91 dated 2017-10-27

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, and computing confidence intervals around incidence risk and incidence rate estimates. Miscellaneous functions for use in meta-analysis, diagnostic test interpretation, and sample size calculations.
Author: Mark Stevenson <mark.stevenson1@unimelb.edu.au> with contributions from Telmo Nunes, Cord Heuer, Jonathon Marshall, Javier Sanchez, Ron Thornton, Jeno Reiczigel, Jim Robison-Cox, Paola Sebastiani, Peter Solymos, Kazuki Yoshida, Geoff Jones, Sarah Pirikahu, Simon Firestone, Ryan Kyle, Johann Popp and Mathew Jay.
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

Diff between epiR versions 0.9-91 dated 2017-10-27 and 0.9-93 dated 2017-12-11

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Permanent link

Package DescTools updated to version 0.99.23 with previous version 0.99.22 dated 2017-09-13

Title: Tools for Descriptive Statistics
Description: A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'camel style' was consequently applied to functions borrowed from contributed R packages as well.
Author: Andri Signorell. Includes R source code and/or documentation previously published by (in alphabetical order): Ken Aho, Andreas Alfons, Nanina Anderegg, Tomas Aragon, Antti Arppe, Adrian Baddeley, Kamil Barton, Ben Bolker, Frederico Caeiro, Stephane Champely, Daniel Chessel, Leanne Chhay, Clint Cummins, Michael Dewey, Harold C. Doran, Stephane Dray, Charles Dupont, Dirk Eddelbuettel, Jeff Enos, Claus Ekstrom, Martin Elff, Kamil Erguler, Richard W. Farebrother, John Fox, Romain Francois, Michael Friendly, Tal Galili, Matthias Gamer, Joseph L. Gastwirth, Yulia R. Gel, Juergen Gross, Gabor Grothendieck, Frank E. Harrell Jr, Richard Heiberger, Michael Hoehle, Christian W. Hoffmann, Torsten Hothorn, Markus Huerzeler, Wallace W. Hui, Pete Hurd, Rob J. Hyndman, Pablo J. Villacorta Iglesias, Matthias Kohl, Mikko Korpela, Max Kuhn, Detlew Labes, Friederich Leisch, Jim Lemon, Dong Li, Martin Maechler, Arni Magnusson, Daniel Malter, George Marsaglia, John Marsaglia, Alina Matei, David Meyer, Weiwen Miao, Giovanni Millo, Yongyi Min, David Mitchell, Markus Naepflin, Daniel Navarro, Henric Nilsson, Klaus Nordhausen, Derek Ogle, Hong Ooi, Nick Parsons, Sandrine Pavoine, Tony Plate, Roland Rapold, William Revelle, Tyler Rinker, Brian D. Ripley, Caroline Rodriguez, Nathan Russell, Nick Sabbe, Venkatraman E. Seshan, Greg Snow, Michael Smithson, Werner A. Stahel, Mark Stevenson, Matthias Templ, Terry Therneau, Yves Tille, Adrian Trapletti, Kevin Ushey, Jeremy VanDerWal, Bill Venables, John Verzani, Gregory R. Warnes, Stefan Wellek, Hadley Wickham, Rand R. Wilcox, Peter Wolf, Daniel Wollschlaeger, Thomas Yee, Achim Zeileis
Maintainer: Andri Signorell <andri@signorell.net>

Diff between DescTools versions 0.99.22 dated 2017-09-13 and 0.99.23 dated 2017-12-11

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New package MultiplierDEA with initial version 0.1.17
Package: MultiplierDEA
Type: Package
Title: Multiplier Data Envelopment Analysis and Cross Efficiency
Version: 0.1.17
Date: 2017-12-06
Author: Aurobindh Kalathil Puthanpura <kalat2@pdx.edu>
Maintainer: Aurobindh Kalathil Puthanpura <kalat2@pdx.edu>
Description: Functions are provided for calculating efficiency using multiplier DEA (Data Envelopment Analysis): Measuring the efficiency of decision making units (Charnes et al., 1978 <doi:10.1016/0377-2217(78)90138-8>) and cross efficiency using single and two-phase approach. In addition, it includes some datasets for calculating efficiency and cross efficiency.
License: LGPL-2
Repository: CRAN
Depends: lpSolveAPI
NeedsCompilation: no
LazyData: true
Packaged: 2017-12-08 19:46:34 UTC; Auro
Date/Publication: 2017-12-11 11:26:43 UTC

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Permanent link

Package ReIns updated to version 1.0.6 with previous version 1.0.5 dated 2017-09-07

Title: Functions from "Reinsurance: Actuarial and Statistical Aspects"
Description: Functions from the book "Reinsurance: Actuarial and Statistical Aspects" (2017) by Hansjoerg Albrecher, Jan Beirlant and Jef Teugels <http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470772689.html>.
Author: Tom Reynkens [aut, cre], Roel Verbelen [aut] (R code for Mixed Erlang distribution), Anastasios Bardoutsos [ctb] (Original R code for cEPD estimator), Dries Cornilly [ctb] (Original R code for EVT estimators for truncated data), Yuri Goegebeur [ctb] (Original S-Plus code for basic EVT estimators), Klaus Herrmann [ctb] (Original R code for GPD estimator)
Maintainer: Tom Reynkens <tomreynkens@hotmail.com>

Diff between ReIns versions 1.0.5 dated 2017-09-07 and 1.0.6 dated 2017-12-11

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Package gMCP updated to version 0.8-13 with previous version 0.8-12 dated 2017-12-04

Title: Graph Based Multiple Comparison Procedures
Description: Functions and a graphical user interface for graphical described multiple test procedures.
Author: Kornelius Rohmeyer [aut, cre], Florian Klinglmueller [aut]
Maintainer: Kornelius Rohmeyer <rohmeyer@small-projects.de>

Diff between gMCP versions 0.8-12 dated 2017-12-04 and 0.8-13 dated 2017-12-11

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More information about gMCP at CRAN
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Package Rfmtool (with last version 1.2.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-12-10 1.2.2

Permanent link
Package minimaxdesign updated to version 0.1.3 with previous version 0.1.2 dated 2017-05-03

Title: Minimax and Minimax Projection Designs
Description: Provides two main functions: mMcPSO() and miniMaxPro(), which generates minimax designs and minimax projection designs using a hybrid clustering - particle swarm optimization (PSO) algorithm. These designs can be used in a variety of settings, e.g., as space-filling designs for computer experiments or sensor allocation designs. A detailed description of the two designs and the employed algorithms can be found in Mak and Joseph (2017) <DOI:10.1080/10618600.2017.1302881>.
Author: Simon Mak
Maintainer: Simon Mak <smak6@gatech.edu>

Diff between minimaxdesign versions 0.1.2 dated 2017-05-03 and 0.1.3 dated 2017-12-11

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Package nnfor updated to version 0.9.2 with previous version 0.9 dated 2017-10-24

Title: Time Series Forecasting with Neural Networks
Description: Contains functions to facilitate automatic time series modelling with neural networks. Allows fully automatic, semi-manual or fully manual specification of networks. For details of the specification methodology see: (i) Crone and Kourentzes (2010) <doi:10.1016/j.neucom.2010.01.017>; and (ii) Kourentzes et al. (2014) <doi:10.1016/j.eswa.2013.12.011>.
Author: Nikolaos Kourentzes [aut, cre]
Maintainer: Nikolaos Kourentzes <nikolaos@kourentzes.com>

Diff between nnfor versions 0.9 dated 2017-10-24 and 0.9.2 dated 2017-12-11

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Package Knoema updated to version 0.1.12 with previous version 0.1.9 dated 2017-10-03

Title: Interface to the Knoema API
Description: Using this package, users can access to the largest collection of public data and statistics on the Internet featuring about 2.5 billion time series from thousands of sources collected in 'Knoema' repository and use rich R calculations in order to analyze the data. Because data in 'Knoema' is time series data, 'Knoema' function offers data in a number of formats usable in R such as 'ts', 'xts' or 'zoo'. For more information about 'Knoema' API go to <https://knoema.com/dev/docs>.
Author: Pavel Pimenov [aut, cre], Ekaterina Chirkova [aut], Knoema [cph]
Maintainer: Pavel Pimenov <pimenov@knoema.com>

Diff between Knoema versions 0.1.9 dated 2017-10-03 and 0.1.12 dated 2017-12-11

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Package DBItest updated to version 1.5-1 with previous version 1.5 dated 2017-06-19

Title: Testing 'DBI' Back Ends
Description: A helper that tests 'DBI' back ends for conformity to the interface.
Author: Kirill Müller [aut, cre], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between DBItest versions 1.5 dated 2017-06-19 and 1.5-1 dated 2017-12-11

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 MD5                               |   12 ++++++------
 NEWS.md                           |    5 +++++
 R/spec-connection-disconnect.R    |   10 +++-------
 build/vignette.rds                |binary
 inst/doc/test.html                |   26 +++++++++++++-------------
 man/spec_connection_disconnect.Rd |    3 ++-
 7 files changed, 33 insertions(+), 31 deletions(-)

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