Mon, 25 Jan 2016

Package spaMM updated to version 1.7.2 with previous version 1.7.1 dated 2016-01-21

Title: Mixed Models, Particularly Spatial GLMMs
Description: Inference in mixed models, including GLMMs with spatial correlations and models with non-Gaussian random effects (e.g., Beta Binomial, or negative-binomial mixed models). Heteroscedasticity can further be fitted by a linear model. The algorithms are currently various Laplace approximations methods for ML or REML, in particular h-likelihood and penalized-likelihood methods.
Author: François Rousset [aut, cre, cph], Jean-Baptiste Ferdy [aut, cph], Alexandre Courtiol [ctb], GSL authors [ctb] (src/gsl_bessel.*)
Maintainer: François Rousset <francois.rousset@univ-montp2.fr>

Diff between spaMM versions 1.7.1 dated 2016-01-21 and 1.7.2 dated 2016-01-25

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Package rvg updated to version 0.0.6 with previous version 0.0.5 dated 2016-01-06

Title: R Graphics Devices for Vector Graphics Output
Description: Vector Graphics devices for SVG, DrawingML for Microsoft Word and DrawingML for Microsoft PowerPoint.
Author: David Gohel [aut, cre]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package rnoaa updated to version 0.5.2 with previous version 0.5.0 dated 2015-12-02

Title: 'NOAA' Weather Data from R
Description: Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at http://www.ncdc.noaa.gov/cdo-web/webservices/v2, with functions for each of the 'API' 'endpoints': data, data categories, data sets, data types, locations, location categories, and stations. In addition, we have an interface for 'NOAA' sea ice data, the 'NOAA' severe weather inventory, 'NOAA' Historical Observing 'Metadata' Repository ('HOMR') data, 'NOAA' storm data via 'IBTrACS', tornado data via the 'NOAA' storm prediction center, and more.
Author: Scott Chamberlain [aut, cre], Karthik Ram [ctb], Adam Erickson [ctb], Nicholas Potter [ctb], Joseph Stachelek [ctb], Hart Edmund [ctb]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between rnoaa versions 0.5.0 dated 2015-12-02 and 0.5.2 dated 2016-01-25

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Package RNetLogo updated to version 1.0-2 with previous version 1.0-1 dated 2014-10-12

Title: Provides an Interface to the Agent-Based Modelling Platform NetLogo
Description: Interface to use and access Wilensky's NetLogo (Wilensky 1999) from R using either headless (no GUI) or interactive GUI mode. Provides functions to load models, execute commands, and get values from reporters. Mostly analogous to the NetLogo Mathematica Link https://github.com/NetLogo/Mathematica-Link.
Author: Jan C. Thiele
Maintainer: Jan C. Thiele <rnetlogo@gmx.de>

Diff between RNetLogo versions 1.0-1 dated 2014-10-12 and 1.0-2 dated 2016-01-25

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 R/NLCommand.R                                                                          |    4 
 R/NLDfToList.R                                                                         |    2 
 R/NLDoCommand.R                                                                        |    6 
 R/NLDoCommandWhile.R                                                                   |    4 
 R/NLDoReport.R                                                                         |    4 
 R/NLDoReportWhile.R                                                                    |    4 
 R/NLGetAgentSet.R                                                                      |   40 --
 R/NLGetGraph.R                                                                         |   12 
 R/NLGetPatches.R                                                                       |   44 ---
 R/NLLoadModel.R                                                                        |    4 
 R/NLQuit.R                                                                             |   12 
 R/NLReport.R                                                                           |    4 
 R/NLSetAgentSet.R                                                                      |   31 --
 R/NLSetPatchSet.R                                                                      |   24 -
 R/NLSetPatches.R                                                                       |   33 --
 R/NLSourceFromString.R                                                                 |    4 
 R/NLStart.R                                                                            |    5 
 R/onLoad.R                                                                             |   31 --
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 inst/NEWS.Rd                                                                           |   17 +
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 inst/quickStartGuide.txt                                                               |    4 
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 man/NLDfToList.Rd                                                                      |    2 
 man/NLDoCommand.Rd                                                                     |    2 
 man/NLDoCommandWhile.Rd                                                                |    2 
 man/NLDoReport.Rd                                                                      |    2 
 man/NLDoReportWhile.Rd                                                                 |    2 
 man/NLGetAgentSet.Rd                                                                   |    2 
 man/NLGetGraph.Rd                                                                      |    2 
 man/NLGetPatches.Rd                                                                    |    2 
 man/NLLoadModel.Rd                                                                     |    2 
 man/NLQuit.Rd                                                                          |    2 
 man/NLReport.Rd                                                                        |    2 
 man/NLSetAgentSet.Rd                                                                   |    2 
 man/NLSetPatchSet.Rd                                                                   |    2 
 man/NLSetPatches.Rd                                                                    |    2 
 man/NLSourceFromString.Rd                                                              |    2 
 man/NLStart.Rd                                                                         |   10 
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Package reproducer updated to version 0.1.4 with previous version 0.1.3 dated 2015-05-22

Title: Reproduce Statistical Analyses and Meta-Analyses
Description: The reproducer R package includes data analysis functions and data sets (e.g., related to software defect prediction) to streamline reproducible research in software engineering.
Author: Lech Madeyski [cre, aut, ctb], Marian Jureczko [ctb] (Data contributor), Barbara Kitchenham [ctb] (Data contributor), David Bodgen [ctb] (Data contributor), Pearl Brereton [ctb] (Data contributor), Jacky Keung [ctb] (Data contributor), Stuart Charters [ctb] (Data contributor), Shirley Gibbs [ctb] (Data contributor), Amnart Pohthong [ctb] (Data contributor)
Maintainer: Lech Madeyski <lech.madeyski@gmail.com>

Diff between reproducer versions 0.1.3 dated 2015-05-22 and 0.1.4 dated 2016-01-25

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 man/Madeyski15EISEJ.StudProjects.Rd                                                     |    3 
 man/Madeyski15SQJ.NDC.Rd                                                                |    3 
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 man/boxplotHV.Rd                                                                        |    5 
 man/cloudOfWords.Rd                                                                     |    2 
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 man/fmt.Rd                                                                              |only
 man/printXTable.Rd                                                                      |    2 
 man/readExcelSheet.Rd                                                                   |    2 
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Package R6 updated to version 2.1.2 with previous version 2.1.1 dated 2015-08-18

Title: Classes with Reference Semantics
Description: The R6 package allows the creation of classes with reference semantics, similar to R's built-in reference classes. Compared to reference classes, R6 classes are simpler and lighter-weight, and they are not built on S4 classes so they do not require the methods package. These classes allow public and private members, and they support inheritance, even when the classes are defined in different packages.
Author: Winston Chang [aut, cre]
Maintainer: Winston Chang <winston@stdout.org>

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Package pmclust updated to version 0.1-7 with previous version 0.1-6 dated 2014-02-03

Title: Parallel Model-Based Clustering using Expectation-Gathering-Maximization Algorithm for Finite Mixture Gaussian Model
Description: Aims to utilize model-based clustering (unsupervised) for high dimensional and ultra large data, especially in a distributed manner. The code employs pbdMPI to perform a expectation-gathering-maximization algorithm for finite mixture Gaussian models. The unstructured dispersion matrices are assumed in the Gaussian models. The implementation is default in the single program multiple data programming model. The code can be executed through pbdMPI and independent to most MPI applications. See the High Performance Statistical Computing website for more information, documents and examples.
Author: Wei-Chen Chen [aut, cre], George Ostrouchov [aut]
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

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Package pdolsms updated to version 0.2 with previous version 0.1 dated 2016-01-24

Title: Panel Dynamic OLS Estimation of Cointegrating Vectors
Description: Estimates panel data cointegrating relationships following the estimator of Mark and Sul (2003), <DOI:10.1111/j.1468-0084.2003.00066.x>.
Author: Raad Khraishi [aut, cre]
Maintainer: Raad Khraishi <raadkhraishi+pdolsms@gmail.com>

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Package pbdPROF updated to version 0.3-0 with previous version 0.2-3 dated 2014-05-26

Title: Programming with Big Data --- MPI Profiling Tools
Description: MPI profiling tools.
Author: Wei-Chen Chen [aut, cre], Drew Schmidt [aut], Gaurav Sehrawat [aut], Pragneshkumar Patel [aut], George Ostrouchov [aut]
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

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Package omics updated to version 0.1-2 with previous version 0.1-1 dated 2015-12-05

Title: '--omics' Data Analysis Toolbox
Description: A collection of functions to analyse '--omics' datasets such as DNA methylation and gene expression profiles.
Author: Gianluca Campanella [aut, cre]
Maintainer: Gianluca Campanella <gianluca@campanella.org>

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Package MRS updated to version 1.1 with previous version 1.0 dated 2015-12-07

Title: Multi-Resolution Scanning for Cross-Sample Differences
Description: An implementation of the MRS algorithm for comparison across distributions. The model is based on a nonparametric process taking the form of a Markov model that transitions between a "null" and an "alternative" state on a multi-resolution partition tree of the sample space. MRS effectively detects and characterizes a variety of underlying differences. These differences can be visualized using several plotting functions.
Author: Jacopo Soriano and Li Ma
Maintainer: Jacopo Soriano <jsoriano.stat@gmail.com>

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Package miscset updated to version 1.0.0 with previous version 0.4 dated 2014-09-04

Title: Miscellaneous Tools Set
Description: A collection of miscellaneous methods to simplify various tasks, including plotting, data.frame and matrix transformations, environment functions, regular expression methods, and string and logical operations, as well as numerical and statistical tools. Most of the methods are simple but useful wrappers of common base R functions, which extend S3 generics or provide default values for important parameters.
Author: Sven E. Templer
Maintainer: Sven E. Templer <sven.templer@gmail.com>

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Package HiveR updated to version 0.2.46 with previous version 0.2.44 dated 2015-07-27

Title: 2D and 3D Hive Plots for R
Description: Creates and plots 2D and 3D hive plots. Hive plots are a unique method of displaying networks of many types in which node properties are mapped to axes using meaningful properties rather than being arbitrarily positioned. The hive plot concept was invented by Martin Krzywinski at the Genome Science Center (www.hiveplot.net/). Keywords: networks, food webs, linnet, systems biology, bioinformatics.
Author: Bryan A. Hanson [aut, cre], Vesna Memisevic [ctb], Jonathan Chung [ctb]
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

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Package FunChisq updated to version 2.2.1 with previous version 2.2.0 dated 2016-01-24

Title: Chi-Square and Exact Tests for Non-Parametric Functional Dependencies
Description: Statistical hypothesis testing methods for non-parametric functional dependencies based on asymptotic chi-square and exact statistics. These tests were designed to reveal evidence for causality based on functional dependencies. They include asymptotic functional chi-square tests, an exact functional test, a comparative functional chi-square test, and also a comparative chi-square test. The normalized non-constant functional chi-square test was used by the Best Performer NMSUSongLab in HPN-DREAM (DREAM8) Breast Cancer Network Inference Challenges. These tests offer an advantage over regression analysis when a parametric functional form cannot be assumed.
Author: Yang Zhang, Hua Zhong, and Joe Song
Maintainer: Joe Song <joemsong@cs.nmsu.edu>

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Package crmPack updated to version 0.1.7 with previous version 0.1.6 dated 2015-12-22

Title: Object-Oriented Implementation of CRM Designs
Description: Implements a wide range of model-based dose escalation designs, ranging from classical and modern continual reassessment methods (CRMs) based on dose-limiting toxicity endpoints to dual-endpoint designs taking into account a biomarker/efficacy outcome. The focus is on Bayesian inference, making it very easy to setup a new design with its own JAGS code. However, it is also possible to implement 3+3 designs for comparison or models with non-Bayesian estimation. The whole package is written in a modular form in the S4 class system, making it very flexible for adaptation to new models, escalation or stopping rules.
Author: Daniel Sabanes Bove <sabanesd@roche.com>, Wai Yin Yeung <w.yeung1@lancaster.ac.uk>, Giuseppe Palermo <giuseppe.palermo@roche.com>, Thomas Jaki <jaki.thomas@gmail.com>
Maintainer: Daniel Sabanes Bove <sabanesd@roche.com>

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Package ChannelAttribution updated to version 1.5 with previous version 1.4 dated 2016-01-08

Title: Markov Model for the Online Multi-Channel Attribution Problem
Description: Advertisers use a variety of online marketing channels to reach consumers and they want to know the degree each channel contributes to their marketing success. It's called the online multi-channel attribution problem. This package contains a probabilistic algorithm for the attribution problem. The model uses a k-order Markov representation to identifying structural correlations in the customer journey data. The package also contains three heuristic algorithms (first-touch, last-touch and linear-touch approach) for the same problem. The algorithms are implemented in C++. For customizations or interest in other statistical methodologies for web data analysis please contact <davide.altomare@gmail.com>.
Author: Davide Altomare
Maintainer: Davide Altomare <davide.altomare@gmail.com>

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New package activpalProcessing with initial version 1.0
Package: activpalProcessing
Type: Package
Title: Process activPAL Events Files
Version: 1.0
Date: 2015-12-30
Author: Kate Lyden
Maintainer: Kate Lyden <activpalProcessing@gmail.com>
Description: Performs estimation of physical activity and sedentary behavior variables from activPAL (PAL Technologies, Glasgow, Scotland) events files. See <http://paltechnologies.com> for more information on the activPAL.
License: GPL-2 | GPL-3
LazyLoad: yes
Depends: R (>= 2.10), graphics, grDevices, stats, utils
Imports: chron
LazyData: yes
Packaged: 2016-01-25 18:57:01 UTC; klyden
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-01-26 00:22:47

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Package Tmisc updated to version 0.1.4 with previous version 0.1.2 dated 2015-11-14

Title: Turner Miscellaneous
Description: Miscellaneous data and utility functions for manipulating data and your R environment.
Author: Stephen Turner <vustephen@gmail.com>
Maintainer: Stephen Turner <vustephen@gmail.com>

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Package shotGroups updated to version 0.7 with previous version 0.6.2 dated 2015-11-12

Title: Analyze Shot Group Data
Description: Analyzes shooting data with respect to group shape, precision, and accuracy. This includes graphical methods, descriptive statistics, and inference tests using standard, but also non-parametric and robust statistical methods. Implements distributions for radial error in bivariate normal variables. Works with files exported by OnTarget PC/TDS or Taran, as well as with custom data files in text format. Supports inference from range statistics like extreme spread. Includes a set of web-based graphical user interfaces.
Author: Daniel Wollschlaeger
Maintainer: Daniel Wollschlaeger <dwoll@kuci.org>

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Package oaxaca updated to version 0.1.3 with previous version 0.1.2 dated 2015-02-18

Title: Blinder-Oaxaca Decomposition
Description: An implementation of the Blinder-Oaxaca decomposition for linear regression models.
Author: Marek Hlavac <hlavac@fas.harvard.edu>
Maintainer: Marek Hlavac <hlavac@fas.harvard.edu>

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

Title: Non-Parametric Measures of Actigraphy Data
Description: Computes interday stability (IS), intraday variability (IV) & the relative amplitude (RA) from actigraphy data as described in van Someren et al. (1999). Additionally, it also computes L5 (i.e. the 5 hours with lowest average actigraphy amplitude) and M10 (the 10 hours with highest average amplitude) as well as the respective start times. The flex versions will also compute the L-value for a user-defined number of minutes. IS describes the strength of coupling of a rhythm to supposedly stable zeitgebers. It varies between 0 (Gaussian Noise) and 1 for perfect IS. IV describes the fragmentation of a rhythm, i.e. the frequency and extent of transitions between rest and activity. It is near 0 for a perfect sine wave, about 2 for Gaussian noise and may be even higher when a definite ultradian period of about 2 hrs is present. RA is the relative amplitude of a rhythm. Note that to obtain reliable results, actigraphy data should cover a reasonable number of days.
Author: Christine Blume <christine.blume@sbg.ac.at> Nayantara Santhi <n.santhi@surrey.ac.uk> Manuel Schabus <manuel.schabus@sbg.ac.at>
Maintainer: Christine Blume <christine.blume@sbg.ac.at>

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Package DetMCD updated to version 0.0.3 with previous version 0.0.2 dated 2015-02-03

Title: Implementation of the DetMCD Algorithm (Robust and Deterministic Estimation of Location and Scatter)
Description: Implementation of DetMCD, a new algorithm for robust and deterministic estimation of location and scatter. The benefits of robust and deterministic estimation are explained in Hubert, M., Rousseeuw, P.J. and Verdonck, T. (2012),"A deterministic algorithm for robust location and scatter", Journal of Computational and Graphical Statistics, Volume 21, Number 3, Pages 618--637.
Author: Vakili Kaveh [aut, cre], Mia Hubert [ths]
Maintainer: Vakili Kaveh <vakili.kaveh.email@gmail.com>

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New package coenoflex with initial version 2.1-0
Package: coenoflex
Version: 2.1-0
Date: 2016-01-23
Title: Gradient-Based Coenospace Vegetation Simulator
Author: David W. Roberts <droberts@montana.edu>
Maintainer: David W. Roberts <droberts@montana.edu>
Depends: mgcv
Description: Simulates the composition of samples of vegetation according to gradient-based vegetation theory. Features a flexible algorithm incorporating competition and complex multi-gradient interaction.
License: GPL (>= 2)
Packaged: 2016-01-23 23:35:52 UTC; dvrbts
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2016-01-25 14:37:43

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Package causaleffect updated to version 1.2.2 with previous version 1.2.0 dated 2015-08-03

Title: Deriving Expressions of Joint Interventional Distributions and Transport Formulas in Causal Models
Description: Functions for identification and transportation of causal effects. Provides a conditional causal effect identification algorithm (IDC) by Ilya Shpitser and Judea Pearl, and algorithms for z-identifiability, transportability, z-transportability and meta-transportability of causal effects by Elias Bareinboim and Judea Pearl. All of the previously mentioned algorithms are based on a causal effect identification algorithm by Jin Tian.
Author: Santtu Tikka
Maintainer: Santtu Tikka <santtuth@gmail.com>

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Package BCEA updated to version 2.2-2 with previous version 2.1-1 dated 2015-05-06

Title: Bayesian Cost Effectiveness Analysis
Description: Produces an economic evaluation of a Bayesian model in the form of MCMC simulations. Given suitable variables of cost and effectiveness / utility for two or more interventions, This package computes the most cost-effective alternative and produces graphical summaries and probabilistic sensitivity analysis.
Author: Gianluca Baio, Andrea Berardi, Anna Heath
Maintainer: Gianluca Baio <gianluca@stats.ucl.ac.uk>

Diff between BCEA versions 2.1-1 dated 2015-05-06 and 2.2-2 dated 2016-01-25

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Package surveyoutliers updated to version 0.1 with previous version 0.0 dated 2015-12-21

Title: Helps Manage Outliers in Sample Surveys
Description: At present, the only functionality is the calculation of optimal one-sided winsorizing cutoffs. The main function is optimal.onesided.cutoff.bygroup. It calculates the optimal tuning parameter for one-sided winsorisation, and so calculates winsorised values for a variable of interest. See the help file for this function for more details and an example.
Author: Robert Clark
Maintainer: "Robert Clark" <rclark@uow.edu.au>

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Package plfMA updated to version 1.0.2 with previous version 1.0.1 dated 2015-08-27

Title: A GUI to View, Design and Export Various Graphs of Data
Description: Provides a graphical user interface for viewing and designing various types of graphs of the data. The graphs can be saved in different formats of an image.
Author: Dhammapal Bharne, Vaibhav Vindal
Maintainer: Dhammapal Bharne <dhammapalb@uohyd.ac.in>

Diff between plfMA versions 1.0.1 dated 2015-08-27 and 1.0.2 dated 2016-01-25

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Package memisc updated to version 0.99.3.2 with previous version 0.99.3 dated 2016-01-17

Title: Tools for Management of Survey Data and the Presentation of Analysis Results
Description: One of the aims of this package is to make life easier for useRs who deal with survey data sets. It provides an infrastructure for the management of survey data including value labels, definable missing values, recoding of variables, production of code books, and import of (subsets of) SPSS and Stata files. Further, it provides functionality to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates, which can be exported to LaTeX and HTML.
Author: Martin Elff (with contributions from Christopher N. Lawrence, Dave Atkins, Jason W. Morgan, Achim Zeileis)
Maintainer: Martin Elff <memisc@elff.eu>

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Package easyVerification updated to version 0.2.0 with previous version 0.1.8 dated 2015-10-15

Title: Ensemble Forecast Verification for Large Data Sets
Description: Set of tools to simplify application of atomic forecast verification metrics for (comparative) verification of ensemble forecasts to large data sets. The forecast metrics are imported from the 'SpecsVerification' package, and additional forecast metrics are provided with this package. Alternatively, new user-defined forecast scores can be implemented using the example scores provided and applied using the functionality of this package.
Author: Jonas Bhend [aut, cre], Jacopo Ripoldi [ctb], Claudia Mignani [ctb], Irina Mahlstein [ctb], Rebecca Hiller [ctb], Christoph Spirig [ctb], Mark Liniger [ctb], Andreas Weigel [ctb], Joaqu'in Bedia Jimenez [ctb], Matteo De Felice [ctb]
Maintainer: Jonas Bhend <jonas.bhend@meteoswiss.ch>

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