Fri, 25 May 2018

Package xtensor (with last version 0.6.0-0) was removed from CRAN

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

2018-05-25 0.6.0-0

Permanent link
Package ptw updated to version 1.9-13 with previous version 1.9-12 dated 2017-03-06

Title: Parametric Time Warping
Description: Parametric Time Warping aligns patterns, i.e. it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation). Both warping of peak profiles and of peak lists are supported.
Author: Jan Gerretzen [ctb], Paul Eilers [aut], Hans Wouters [ctb], Tom Bloemberg [aut], Ron Wehrens [aut, cre]
Maintainer: Ron Wehrens <ron.wehrens@gmail.com>

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Package pkgmaker updated to version 0.27 with previous version 0.22 dated 2018-05-10

Title: Development Utilities for R Packages
Description: Provides some low-level utilities to use for package development. It currently provides managers for multiple package specific options and registries, vignette, unit test and bibtex related utilities. It serves as a base package for packages like NMF, RcppOctave, doRNG, and as an incubator package for other general purposes utilities, that will eventually be packaged separately. It is still under heavy development and changes in the interface(s) are more than likely to happen.
Author: Renaud Gaujoux [aut, cre]
Maintainer: Renaud Gaujoux <renozao@protonmail.com>

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Package mice updated to version 3.0.0 with previous version 2.46.0 dated 2017-10-24

Title: Multivariate Imputation by Chained Equations
Description: Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm as described in Van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. Each variable has its own imputation model. Built-in imputation models are provided for continuous data (predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data (proportional odds). MICE can also impute continuous two-level data (normal model, pan, second-level variables). Passive imputation can be used to maintain consistency between variables. Various diagnostic plots are available to inspect the quality of the imputations.
Author: Stef van Buuren [aut, cre], Karin Groothuis-Oudshoorn [aut], Alexander Robitzsch [ctb], Gerko Vink [ctb], Lisa Doove [ctb], Shahab Jolani [ctb], Rianne Schouten [ctb], Philipp Gaffert [ctb], Florian Meinfelder [ctb], Bernie Gray [ctb]
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>

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Package sparklyr updated to version 0.8.4 with previous version 0.8.3 dated 2018-05-12

Title: R Interface to Apache Spark
Description: R interface to Apache Spark, a fast and general engine for big data processing, see <http://spark.apache.org>. This package supports connecting to local and remote Apache Spark clusters, provides a 'dplyr' compatible back-end, and provides an interface to Spark's built-in machine learning algorithms.
Author: Javier Luraschi [aut, cre], Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>), Kevin Ushey [aut], JJ Allaire [aut], RStudio [cph], The Apache Software Foundation [aut, cph]
Maintainer: Javier Luraschi <javier@rstudio.com>

Diff between sparklyr versions 0.8.3 dated 2018-05-12 and 0.8.4 dated 2018-05-25

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Package rcongresso updated to version 0.4.6 with previous version 0.3.2 dated 2018-01-26

Title: Wraps the API for the Brazilian Chamber of Deputies
Description: Provides propositions, votings, deputies and parties data from Brazilian lower house <https://dadosabertos.camara.leg.br> in data frames.
Author: Paulo Vinícius Soares [aut, cre], Nazareno Andrade [aut], Laboratório Analytics (UFCG) [cph, fnd]
Maintainer: Paulo Vinícius Soares <paulo.soares@ccc.ufcg.edu.br>

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Package DisHet updated to version 1.0.0 with previous version 0.2.2 dated 2018-03-13

Title: Estimate the Gene Expression Levels and Component Proportions of the Normal, Stroma (Immune) and Tumor Components of Bulk Tumor Samples
Description: Model cell type heterogeneity of bulk renal cell carcinoma. The observed gene expression in bulk tumor sample is modeled by a log-normal distribution with the location parameter structured as a linear combination of the component-specific gene expressions.
Author: Tao Wang
Maintainer: Tao Wang <tao.wang@utsouthwestern.edu>

Diff between DisHet versions 0.2.2 dated 2018-03-13 and 1.0.0 dated 2018-05-25

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More information about DisHet at CRAN
Permanent link

Package FuncMap updated to version 1.0.10 with previous version 1.0.8 dated 2015-07-15

Title: Hive Plots of R Package Function Calls
Description: Analyzes the function calls in an R package and creates a hive plot of the calls, dividing them among functions that only make outgoing calls (sources), functions that have only incoming calls (sinks), and those that have both incoming calls and make outgoing calls (managers). Function calls can be mapped by their absolute numbers, their normalized absolute numbers, or their rank. FuncMap should be useful for comparing packages at a high level for their overall design. Plus, it's just plain fun. The hive plot concept was developed by Martin Krzywinski (www.hiveplot.com) and inspired this package. Note: this package is maintained for historical reasons. HiveR is a full package for creating hive plots.
Author: Bryan A. Hanson DePauw University, Greencastle Indiana USA
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

Diff between FuncMap versions 1.0.8 dated 2015-07-15 and 1.0.10 dated 2018-05-25

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More information about FuncMap at CRAN
Permanent link

Package BNSP updated to version 2.0.5 with previous version 2.0.4 dated 2018-05-24

Title: Bayesian Non- And Semi-Parametric Model Fitting
Description: Markov chain Monte Carlo algorithms for non- and semi-parametric models: 1. Dirichlet process mixtures & 2. spike-slab for variable selection in mean/variance regression models.
Author: Georgios Papageorgiou
Maintainer: Georgios Papageorgiou <gpapageo@gmail.com>

Diff between BNSP versions 2.0.4 dated 2018-05-24 and 2.0.5 dated 2018-05-25

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Package sigr updated to version 0.2.6 with previous version 0.2.5 dated 2018-04-24

Title: Succinct and Correct Statistical Summaries for Reports
Description: Succinctly and correctly format statistical summaries of various models and tests (F-test, Chi-Sq-test, Fisher-test, T-test, and rank-significance). The main purpose is unified reporting and planning of experimental results, working around issue such as the difficulty of extracting model summary facts (such as with 'lm'/'glm'). This package also includes empirical tests, such as bootstrap estimates.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between sigr versions 0.2.5 dated 2018-04-24 and 0.2.6 dated 2018-05-25

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Package pillar updated to version 1.2.3 with previous version 1.2.2 dated 2018-04-26

Title: Coloured Formatting for Columns
Description: Provides a 'pillar' generic designed for formatting columns of data using the full range of colours provided by modern terminals.
Author: Kirill Müller [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between pillar versions 1.2.2 dated 2018-04-26 and 1.2.3 dated 2018-05-25

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More information about pillar at CRAN
Permanent link

Package lessR updated to version 3.7.4 with previous version 3.7.2 dated 2018-03-30

Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting including the introduced here Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, Trellis graphics and a built-in help system. A confirmatory factor analysis of multiple indicator measurement models is available, as are pedagogical routines for data simulation such as for the Central Limit Theorem. Compatible with 'RStudio' and 'knitr' including generation of R markdown instructions for interpretative output.
Author: David W. Gerbing, The School of Business, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>

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New package xtensor with initial version 0.6.0-0
Package: xtensor
Type: Package
Title: Headers for the 'xtensor' Library
Version: 0.6.0-0
Author: Johan Mabille, Sylvain Corlay and Wolf Vollprecht
Maintainer: Sylvain Corlay <sylvain.corlay@gmail.com>
Description: The 'xtensor' C++ library for numerical analysis with multi-dimensional array expressions is provided as a header-only C++14 library. It offers an extensible expression system enabling lazy broadcasting; an API following the idioms of the C++ standard library; and tools to manipulate array expressions and build upon 'xtensor'.
URL: https://github.com/QuantStack/xtensor
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Imports: Rcpp
LinkingTo: Rcpp
LazyData: true
NeedsCompilation: yes
Packaged: 2018-05-25 13:20:58 UTC; scorlay
Repository: CRAN
Date/Publication: 2018-05-25 16:02:22 UTC

More information about xtensor at CRAN
Permanent link

Package SNPknock updated to version 0.7.0 with previous version 0.5.1 dated 2018-01-09

Title: Knockoffs for Hidden Markov Models and Genetic Data
Description: Generates knockoff variables from discrete Markov chains and hidden Markov models, with specific support for genetic data. For more information, see the website below and the accompanying paper: Sesia et al., "Gene Hunting with Knockoffs for Hidden Markov Models", 2017, <arXiv:1706.04677>.
Author: Matteo Sesia
Maintainer: Matteo Sesia <msesia@stanford.edu>

Diff between SNPknock versions 0.5.1 dated 2018-01-09 and 0.7.0 dated 2018-05-25

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More information about SNPknock at CRAN
Permanent link

Package readstata13 updated to version 0.9.1 with previous version 0.9.0 dated 2017-05-05

Title: Import 'Stata' Data Files
Description: Function to read and write the 'Stata' file format.
Author: Jan Marvin Garbuszus [aut], Sebastian Jeworutzki [aut, cre] (<https://orcid.org/0000-0002-2671-5253>), R Core Team [cph], Magnus Thor Torfason [ctb], Luke M. Olson [ctb], Giovanni Righi [ctb], Kevin Jin [ctb]
Maintainer: Sebastian Jeworutzki <Sebastian.Jeworutzki@ruhr-uni-bochum.de>

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More information about readstata13 at CRAN
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Package cricketr updated to version 0.0.15 with previous version 0.0.14 dated 2017-03-12

Title: Analyze Cricketers Based on ESPN Cricinfo Statsguru
Description: Tools for analyzing performances of cricketers based on stats in ESPN Cricinfo Statsguru. The toolset can be used for analysis of Tests,ODIs and Twenty20 matches of both batsmen and bowlers.
Author: Tinniam V Ganesh
Maintainer: Tinniam V Ganesh <tvganesh.85@gmail.com>

Diff between cricketr versions 0.0.14 dated 2017-03-12 and 0.0.15 dated 2018-05-25

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More information about cricketr at CRAN
Permanent link

Package RobustAFT updated to version 1.4-2 with previous version 1.4-1 dated 2015-12-08

Title: Truncated Maximum Likelihood Fit and Robust Accelerated Failure Time Regression for Gaussian and Log-Weibull Case
Description: R functions for the computation of the truncated maximum likelihood and the robust accelerated failure time regression for gaussian and log-Weibull case.
Author: Alfio Marazzi <Alfio.Marazzi@chuv.ch>, Jean-Luc Muralti
Maintainer: A. Randriamiharisoa <Alex.Randriamiharisoa@chuv.ch>

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New package planor with initial version 1.3-9
Package: planor
Type: Package
Title: Generation of Regular Factorial Designs
Version: 1.3-9
Date: 2018-05-10
Authors@R: c(person("Hervé", "Monod", role = c("aut", "cre"), email = "herve.monod@inra.fr"), person("Annie", "Bouvier", role = "aut"), person("André", "Kobilinsky", role = "aut"), person("INRA", role = "cph", comment = "Institut National de la Recherche Agronomique, France"))
Description: Automatic generation of regular factorial designs, including fractional designs, orthogonal block designs, row-column designs and split-plots. Kobilinsky, Monod and Bailey (2017) <doi:10.1016/j.csda.2016.09.003>.
License: GPL (>= 2)
Imports: stats, conf.design, utils, bit64, Rcpp (>= 0.12.7)
LinkingTo: Rcpp, RcppArmadillo
Depends: methods
Collate: zzz.R generic.R designfactors.R keymatrix.R keyring.R listofkeyrings.R planor.R basep.R randomize.R designkey.R listofdesignkeys.R planordesign.R makedesignkey.R
Encoding: UTF-8
URL: http://genome.jouy.inra.fr/logiciels/planor
NeedsCompilation: yes
Packaged: 2018-05-13 17:53:20 UTC; root
Author: Hervé Monod [aut, cre], Annie Bouvier [aut], André Kobilinsky [aut], INRA [cph] (Institut National de la Recherche Agronomique, France)
Maintainer: Hervé Monod <herve.monod@inra.fr>
Repository: CRAN
Date/Publication: 2018-05-25 15:23:18 UTC

More information about planor at CRAN
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Package PeakSegOptimal updated to version 2018.05.25 with previous version 2017.07.12 dated 2017-07-12

Title: Optimal Segmentation Subject to Up-Down Constraints
Description: Computes optimal changepoint models using the Poisson likelihood for non-negative count data, subject to the PeakSeg constraint: the first change must be up, second change down, third change up, etc. For more info about the models and algorithms, read "A log-linear time algorithm for constrained changepoint detection" <arXiv:1703.03352> by TD Hocking et al.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between PeakSegOptimal versions 2017.07.12 dated 2017-07-12 and 2018.05.25 dated 2018-05-25

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Package openCR updated to version 1.2.0 with previous version 1.1.2 dated 2018-04-21

Title: Open Population Capture-Recapture
Description: Functions for non-spatial and spatial open-population capture-recapture analysis.
Author: Murray Efford [aut, cre] (<https://orcid.org/0000-0001-5231-5184>)
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

Diff between openCR versions 1.1.2 dated 2018-04-21 and 1.2.0 dated 2018-05-25

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Permanent link

New package MFPCA with initial version 1.2-2
Package: MFPCA
Type: Package
Title: Multivariate Functional Principal Component Analysis for Data Observed on Different Dimensional Domains
Version: 1.2-2
Date: 2018-05-23
Authors@R: person("Clara", "Happ", email = "clara.happ@stat.uni-muenchen.de", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4737-3835"))
Maintainer: Clara Happ <clara.happ@stat.uni-muenchen.de>
Description: Calculate a multivariate functional principal component analysis for data observed on different dimensional domains. The estimation algorithm relies on univariate basis expansions for each element of the multivariate functional data (Happ & Greven, 2018) <doi:10.1080/01621459.2016.1273115>. Multivariate and univariate functional data objects are represented by S4 classes for this type of data implemented in the package 'funData'. For more details on the general concepts of both packages and a case study, see Happ (2018) <arXiv:1707.02129>.
License: GPL-2
Imports: abind, foreach, irlba, Matrix, methods, mgcv, plyr, stats
Depends: R (>= 3.2.0), funData (>= 1.2)
Suggests: covr, testthat
NeedsCompilation: yes
SystemRequirements: libfftw3 (>= 3.3.4)
RoxygenNote: 6.0.1
Packaged: 2018-05-24 09:45:20 UTC; happ
Author: Clara Happ [aut, cre] (<https://orcid.org/0000-0003-4737-3835>)
Repository: CRAN
Date/Publication: 2018-05-25 18:00:14

More information about MFPCA at CRAN
Permanent link

Package fingertipsR updated to version 0.1.7 with previous version 0.1.6 dated 2018-05-14

Title: Fingertips Data for Public Health
Description: Fingertips (<http://fingertips.phe.org.uk/>) contains data for many indicators of public health in England. The underlying data is now more easily accessible by making use of the API.
Author: Sebastian Fox [aut, cre], Julian Flowers [aut, ctb], Simon Thelwall [ctb], Duncan Gormansway [ctb], Carl Ganz [ctb], Crown Copyright 2018 [cph]
Maintainer: Sebastian Fox <sebastian.fox@phe.gov.uk>

Diff between fingertipsR versions 0.1.6 dated 2018-05-14 and 0.1.7 dated 2018-05-25

 DESCRIPTION                          |   16 ++++--
 MD5                                  |   32 ++++++-------
 NAMESPACE                            |    2 
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Package directlabels updated to version 2018.05.22 with previous version 2017.03.31 dated 2017-04-08

Title: Direct Labels for Multicolor Plots
Description: An extensible framework for automatically placing direct labels onto multicolor 'lattice' or 'ggplot2' plots. Label positions are described using Positioning Methods which can be re-used across several different plots. There are heuristics for examining "trellis" and "ggplot" objects and inferring an appropriate Positioning Method.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between directlabels versions 2017.03.31 dated 2017-04-08 and 2018.05.22 dated 2018-05-25

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More information about directlabels at CRAN
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Package clampSeg updated to version 1.0-4 with previous version 1.0-3 dated 2018-04-12

Title: Idealisation of Patch Clamp Recordings
Description: Allows for idealisation of patch clamp recordings by implementing the non-parametric JUmp Local dEconvolution Segmentation (JULES) filter, see F. Pein, I. Tecuapetla-Gómez, O. Schütte, C. Steinem, and A. Munk (2017) <arXiv:1706.03671>.
Author: Pein Florian [aut, cre], Thomas Hotz [ctb], Inder Tecuapetla-Gómez [ctb], Timo Aspelmeier [ctb]
Maintainer: Pein Florian <fpein@uni-goettingen.de>

Diff between clampSeg versions 1.0-3 dated 2018-04-12 and 1.0-4 dated 2018-05-25

 ChangeLog   |    8 ++++++--
 DESCRIPTION |    8 ++++----
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 3 files changed, 12 insertions(+), 8 deletions(-)

More information about clampSeg at CRAN
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Package tuneRanger updated to version 0.2 with previous version 0.1 dated 2018-03-14

Title: Tune Random Forest of the 'ranger' Package
Description: Tuning random forest with one line. The package is mainly based on the packages 'ranger' and 'mlrMBO'.
Author: Philipp Probst [aut, cre], Simon Klau [ctb]
Maintainer: Philipp Probst <philipp_probst@gmx.de>

Diff between tuneRanger versions 0.1 dated 2018-03-14 and 0.2 dated 2018-05-25

 DESCRIPTION       |    8 ++++----
 MD5               |    6 +++---
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 4 files changed, 21 insertions(+), 14 deletions(-)

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Package rAmCharts updated to version 2.1.7 with previous version 2.1.6 dated 2018-02-07

Title: JavaScript Charts Tool
Description: Provides an R interface for using 'AmCharts' Library. Based on 'htmlwidgets', it provides a global architecture to generate 'JavaScript' source code for charts. Most of classes in the library have their equivalent in R with S4 classes; for those classes, not all properties have been referenced but can easily be added in the constructors. Complex properties (e.g. 'JavaScript' object) can be passed as named list. See examples at <http://datastorm- open.github.io/introduction_ramcharts/> and <http://www.amcharts.com/> for more information about the library. The package includes the free version of 'AmCharts' Library. Its only limitation is a small link to the web site displayed on your charts. If you enjoy this library, do not hesitate to refer to this page <http://www.amcharts.com/online-store/> to purchase a licence, and thus support its creators and get a period of Priority Support. See also <http://www.amcharts.com/about/> for more information about 'AmCharts' company.
Author: Benoit Thieurmel [aut, cre], Antanas Marcelionis [aut, cph] ('AmCharts' library in th directory htmlwidgets/lib/amcharts, refer to http://www.amcharts.com/), Jeffery Petit [aut, ctb], Elena Salette [aut, ctb], Titouan Robert [aut, ctb]
Maintainer: Benoit Thieurmel <benoit.thieurmel@datastorm.fr>

Diff between rAmCharts versions 2.1.6 dated 2018-02-07 and 2.1.7 dated 2018-05-25

 DESCRIPTION                          |    8 ++--
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Package TAM updated to version 2.12-18 with previous version 2.11-93 dated 2018-05-02

Title: Test Analysis Modules
Description: Includes marginal maximum likelihood estimation and joint maximum likelihood estimation for unidimensional and multidimensional item response models. The package functionality covers the Rasch model, 2PL model, 3PL model, generalized partial credit model, multi-faceted Rasch model, nominal item response model, structured latent class model, mixture distribution IRT models, and located latent class models. Latent regression models and plausible value imputation are also supported. For details see Adams, Wilson and Wang, 1997 <doi:10.1177/0146621697211001>, Adams, Wilson and Wu, 1997 <doi:10.3102/10769986022001047>, Formann, 1982 <doi:10.1002/bimj.4710240209>, Formann, 1992 <doi:10.1080/01621459.1992.10475229>.
Author: Alexander Robitzsch [aut, cre], Thomas Kiefer [aut], Margaret Wu [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between TAM versions 2.11-93 dated 2018-05-02 and 2.12-18 dated 2018-05-25

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 398 files changed, 7295 insertions(+), 7259 deletions(-)

More information about TAM at CRAN
Permanent link

New package mQTL with initial version 1.0
Package: mQTL
Type: Package
Title: Metabolomic Quantitative Trait Locus Mapping
Version: 1.0
Date: 2013-09-18
Author: Lyamine Hedjazi and Jean-Baptiste Cazier
Maintainer: Lyamine Hedjazi <l.hedjazi@fondation-ican.com>
Description: mQTL provides a complete QTL analysis pipeline for metabolomic data. Distinctive features include normalisation using PQN approach, peak alignment using RSPA approach, dimensionality reduction using SRV approach and finally QTL mapping using R/qtl package.
License: GPL
LazyLoad: yes
LazyData: yes
NeedsCompilation: yes
Repository: CRAN
Depends: R (>= 2.15.0), qtl, MASS, outliers
Packaged: 2013-10-21 09:31:01 UTC; Utilisateur
Date/Publication: 2013-10-21 12:44:23

More information about mQTL at CRAN
Permanent link

Package kohonen updated to version 3.0.5 with previous version 3.0.4 dated 2017-08-28

Title: Supervised and Unsupervised Self-Organising Maps
Description: Functions to train self-organising maps (SOMs). Also interrogation of the maps and prediction using trained maps are supported. The name of the package refers to Teuvo Kohonen, the inventor of the SOM.
Author: Ron Wehrens and Johannes Kruisselbrink
Maintainer: Ron Wehrens <ron.wehrens@gmail.com>

Diff between kohonen versions 3.0.4 dated 2017-08-28 and 3.0.5 dated 2018-05-25

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 13 files changed, 147 insertions(+), 108 deletions(-)

More information about kohonen at CRAN
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Package aws.s3 updated to version 0.3.12 with previous version 0.3.11 dated 2018-04-11

Title: 'AWS S3' Client Package
Description: A simple client package for the Amazon Web Services ('AWS') Simple Storage Service ('S3') 'REST' 'API' <https://aws.amazon.com/s3/>.
Author: Thomas J. Leeper [aut, cre] (<https://orcid.org/0000-0003-4097-6326>), Boettiger Carl [ctb], Andrew Martin [ctb], Mark Thompson [ctb], Tyler Hunt [ctb], Steven Akins [ctb], Bao Nguyen [ctb], Thierry Onkelinx [ctb]
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>

Diff between aws.s3 versions 0.3.11 dated 2018-04-11 and 0.3.12 dated 2018-05-25

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 README.md                                  |   28 +++++-----------------------
 tests/testthat/test-authenticated-object.R |    4 ++--
 8 files changed, 28 insertions(+), 41 deletions(-)

More information about aws.s3 at CRAN
Permanent link

Package googleway updated to version 2.7.0 with previous version 2.6 dated 2018-04-29

Title: Accesses Google Maps APIs to Retrieve Data and Plot Maps
Description: Provides a mechanism to plot a 'Google Map' from 'R' and overlay it with shapes and markers. Also provides access to 'Google Maps' APIs, including places, directions, roads, distances, geocoding, elevation and timezone.
Author: David Cooley [aut, cre], Paulo Barcelos [ctb] (Author of c++ decode_pl), Rstudio [ctb] (Functions written for the Leaflet pacakge)
Maintainer: David Cooley <dcooley@symbolix.com.au>

Diff between googleway versions 2.6 dated 2018-04-29 and 2.7.0 dated 2018-05-25

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 41 files changed, 584 insertions(+), 287 deletions(-)

More information about googleway at CRAN
Permanent link

Package googlePolylines updated to version 0.6.1 with previous version 0.6.0 dated 2018-04-26

Title: Encoding Coordinates into 'Google' Polylines
Description: Encodes simple feature ('sf') objects and coordinates, and decodes polylines using the 'Google' polyline encoding algorithm (<https://developers.google.com/maps/documentation/utilities/polylinealgorithm>).
Author: David Cooley [aut, cre], Paulo Barcelos [ctb] (Author of c++ decode_polyline)
Maintainer: David Cooley <dcooley@symbolix.com.au>

Diff between googlePolylines versions 0.6.0 dated 2018-04-26 and 0.6.1 dated 2018-05-25

 DESCRIPTION                  |    8 ++---
 MD5                          |   10 +++---
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 6 files changed, 48 insertions(+), 55 deletions(-)

More information about googlePolylines at CRAN
Permanent link

Package mbest updated to version 0.6 with previous version 0.5 dated 2016-03-08

Title: Moment-Based Estimation for Hierarchical Models
Description: Fast moment-based hierarchical model fitting. Implements methods from the papers "Fast Moment-Based Estimation for Hierarchical Models," by Perry (2017) and "Fitting a Deeply Nested Hierarchical Model to a Large Book Review Dataset Using a Moment-Based Estimator," by Zhang, Schmaus, and Perry (2018).
Author: Patrick O. Perry [aut, cre], Timothy Sweetser [ctb], Kyle Schmaus [ctb], Ningshan Zhang [aut, ctb]
Maintainer: Patrick O. Perry <patperry@gmail.com>

Diff between mbest versions 0.5 dated 2016-03-08 and 0.6 dated 2018-05-25

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Package greybox updated to version 0.2.2 with previous version 0.2.1 dated 2018-05-01

Title: Toolbox for Model Building and Forecasting
Description: Implements functions and instruments for regression model building and its application to forecasting. The main scope of the package is in variables selection and models specification for cases of time series data. This includes promotional modelling, selection between different dynamic regressions with non-standard distributions of errors, selection based on cross validation, solutions to the fat regressions model problem and more. Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them.
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

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Package glm2 updated to version 1.2 with previous version 1.1.3 dated 2017-10-24

Title: Fitting Generalized Linear Models
Description: Fits generalized linear models using the same model specification as glm in the stats package, but with a modified default fitting method that provides greater stability for models that may fail to converge using glm.
Author: Ian Marschner [aut] (using code from glm and glm.fit in the stats package), Mark W. Donoghoe [cre, ctb]
Maintainer: Mark W. Donoghoe <markdonoghoe@gmail.com>

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Package dtwSat updated to version 0.2.4 with previous version 0.2.3 dated 2017-05-16

Title: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis
Description: Provides an implementation of the Time-Weighted Dynamic Time Warping (TWDTW) method for land cover mapping using satellite image time series. TWDTW is based on the Dynamic Time Warping technique and has achieved high accuracy for land cover classification using satellite data. The method is based on comparing unclassified satellite image time series with a set of known temporal patterns (e.g. phenological cycles associated with the vegetation). Using 'dtwSat' the user can build temporal patterns for land cover types, apply the TWDTW analysis for satellite datasets, visualize the results of the time series analysis, produce land cover maps, create temporal plots for land cover change, and compute accuracy assessment metrics.
Author: Victor Maus [aut, cre] (<https://orcid.org/0000-0002-7385-4723>), Marius Appel [ctb], Toni Giorgino [ctb]
Maintainer: Victor Maus <vwmaus1@gmail.com>

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Package bigsplines updated to version 1.1-1 with previous version 1.1-0 dated 2017-02-03

Title: Smoothing Splines for Large Samples
Description: Fits smoothing spline regression models using scalable algorithms designed for large samples. Seven marginal spline types are supported: linear, cubic, different cubic, cubic periodic, cubic thin-plate, ordinal, and nominal. Random effects and parametric effects are also supported. Response can be Gaussian or non-Gaussian: Binomial, Poisson, Gamma, Inverse Gaussian, or Negative Binomial.
Author: Nathaniel E. Helwig <helwig@umn.edu>
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

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Package pulver (with last version 0.1.1) was removed from CRAN

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Package reReg updated to version 1.1-3 with previous version 1.1-2 dated 2018-04-17

Title: Recurrent Event Regression
Description: A collection of regression models for recurrent event process and failure time. Available methods include these from Xu et al. (2017) <doi:10.1080/01621459.2016.1173557>, Lin et al. (2000) <doi:10.1111/1467-9868.00259>, Wang et al. (2001) <doi:10.1198/016214501753209031>, Ghosh and Lin (2003) <doi:10.1111/j.0006-341X.2003.00102.x>, and Huang and Wang (2004) <doi:10.1198/016214504000001033>.
Author: Sy Han (Steven) Chiou
Maintainer: Sy Han (Steven) Chiou <schiou@utdallas.edu>

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Package phyloclim updated to version 0.9.5 with previous version 0.9-4 dated 2013-07-13

Title: Integrating Phylogenetics and Climatic Niche Modeling
Description: Implements some methods in phyloclimatic modeling: estimation of ancestral climatic niches, age-range-correlation, niche equivalency test and background-similarity test.
Author: Christoph Heibl, Clement Calenge (\code{import.ascii})
Maintainer: Christoph Heibl <christoph.heibl@gmx.net>

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Package ppitables updated to version 0.2.0 with previous version 0.1.2 dated 2018-03-05

Title: Lookup Tables to Generate Poverty Likelihoods and Rates using the Poverty Probability Index (PPI)
Description: The Poverty Probability Index (PPI) is a poverty measurement tool for organizations and businesses with a mission to serve the poor. The PPI is statistically-sound, yet simple to use: the answers to 10 questions about a household’s characteristics and asset ownership are scored to compute the likelihood that the household is living below the poverty line – or above by only a narrow margin. This package contains country-specific lookup data tables used as reference to determine the poverty likelihood of a household based on their score from the country-specific PPI questionnaire. These lookup tables have been extracted from documentation of the PPI found at <https://www.povertyindex.org> and managed by Innovations for Poverty Action <https://www.poverty-action.org>.
Author: Ernest Guevarra [aut, cre] (<https://orcid.org/0000-0002-4887-4415>)
Maintainer: Ernest Guevarra <ernestgmd@gmail.com>

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