Mon, 27 Jan 2020

New package soobench with initial version 1.9.12
Package: soobench
Title: Single Objective Optimization Benchmark Functions
Description: Collection of different single objective test functions useful for benchmarks and algorithm development.
Author: Olaf Mersmann <olafm@p-value.net>, Bernd Bischl <bernd_bischl@gmx.net>, Jakob Bossek <jakob.bossek@tu-dortmund.de> and Leonard Judt <judt@gmx.net>
Maintainer: Eric Kalosa-Kenyon <eric@opsani.com>
License: BSD_2_clause + file LICENSE
LazyData: yes
Version: 1.9.12
Suggests: rgl, testthat
RoxygenNote: 7.0.2
NeedsCompilation: yes
Packaged: 2020-01-27 18:43:02 UTC; eric
Repository: CRAN
Date/Publication: 2020-01-27 23:00:02 UTC

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Package R62S3 updated to version 1.4.0 with previous version 1.3.1 dated 2019-06-26

Title: Automatic Method Generation from R6
Description: After defining an R6 class, R62S3 is used to automatically generate optional S3/S4 generics and methods for dispatch. Also allows piping for R6 objects.
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>)
Maintainer: Raphael Sonabend <raphael.sonabend.15@ucl.ac.uk>

Diff between R62S3 versions 1.3.1 dated 2019-06-26 and 1.4.0 dated 2020-01-27

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Package ari updated to version 0.3.4 with previous version 0.3.3 dated 2020-01-12

Title: Automated R Instructor
Description: Create videos from 'R Markdown' documents, or images and audio files. These images can come from image files or HTML slides, and the audio files can be provided by the user or computer voice narration can be created using 'Amazon Polly'. The purpose of this package is to allow users to create accessible, translatable, and reproducible lecture videos. See <https://aws.amazon.com/polly/> for more information.
Author: Sean Kross [aut, cre], John Muschelli [ctb]
Maintainer: Sean Kross <sean@seankross.com>

Diff between ari versions 0.3.3 dated 2020-01-12 and 0.3.4 dated 2020-01-27

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Package PLNmodels updated to version 0.9.5 with previous version 0.9.4 dated 2020-01-14

Title: Poisson Lognormal Models
Description: The Poisson-lognormal model and variants can be used for a variety of multivariate problems when count data are at play, including principal component analysis for count data (Chiquet, Mariadassou and Robin, 2018 <doi:10.1214/18-AOAS1177>), discriminant analysis and network inference (Chiquet, Mariadassou and Robin, 2018 <http://proceedings.mlr.press/v97/chiquet19a.html>). Implements variational algorithms to fit such models accompanied with a set of functions for visualization and diagnostic.
Author: Julien Chiquet [aut, cre] (<https://orcid.org/0000-0002-3629-3429>), Mahendra Mariadassou [aut] (<https://orcid.org/0000-0003-2986-354X>), Stéphane Robin [ctb]
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>

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Package microdemic updated to version 0.5.0 with previous version 0.4.0 dated 2018-10-25

Title: 'Microsoft Academic' API Client
Description: The 'Microsoft Academic Knowledge' API provides programmatic access to scholarly articles in the 'Microsoft Academic Graph' (<https://academic.microsoft.com/>). Includes methods matching all 'Microsoft Academic' API routes, including search, graph search, text similarity, and interpret natural language query string.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Christopher Baker [aut], rOpenSci [fnd] (https://ropensci.org)
Maintainer: Scott Chamberlain <myrmecocystus+r@gmail.com>

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Package tidyselect updated to version 1.0.0 with previous version 0.2.5 dated 2018-10-11

Title: Select from a Set of Strings
Description: A backend for the selecting functions of the 'tidyverse'. It makes it easy to implement select-like functions in your own packages in a way that is consistent with other 'tidyverse' interfaces for selection.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>

Diff between tidyselect versions 0.2.5 dated 2018-10-11 and 1.0.0 dated 2020-01-27

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Package Rtrack updated to version 0.9.6 with previous version 0.9.3 dated 2019-11-06

Title: Spatial Navigation Strategy Analysis
Description: A toolkit for the analysis of paths from spatial tracking experiments (such as the Morris water maze) and calculation of goal-finding strategies. This package is centered on an approach using machine learning for path classification.
Author: Rupert Overall [aut, cre] (<https://orcid.org/0000-0002-3882-6073>)
Maintainer: Rupert Overall <rtrack@rupertoverall.net>

Diff between Rtrack versions 0.9.3 dated 2019-11-06 and 0.9.6 dated 2020-01-27

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Package geomorph updated to version 3.2.1 with previous version 3.2.0 dated 2019-12-19

Title: Geometric Morphometric Analyses of 2D/3D Landmark Data
Description: Read, manipulate, and digitize landmark data, generate shape variables via Procrustes analysis for points, curves and surfaces, perform shape analyses, and provide graphical depictions of shapes and patterns of shape variation.
Author: Dean Adams [aut, cre], Michael Collyer [aut], Antigoni Kaliontzopoulou [aut]
Maintainer: Dean Adams <dcadams@iastate.edu>

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Package showtext updated to version 0.7-1 with previous version 0.7 dated 2019-06-11

Title: Using Fonts More Easily in R Graphs
Description: Making it easy to use various types of fonts ('TrueType', 'OpenType', Type 1, web fonts, etc.) in R graphs, and supporting most output formats of R graphics including PNG, PDF and SVG. Text glyphs will be converted into polygons or raster images, hence after the plot has been created, it no longer relies on the font files. No external software such as 'Ghostscript' is needed to use this package.
Author: Yixuan Qiu and authors/contributors of the included software. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

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Package SIS updated to version 0.8-8 with previous version 0.8-7 dated 2019-11-20

Title: Sure Independence Screening
Description: Variable selection techniques are essential tools for model selection and estimation in high-dimensional statistical models. Through this publicly available package, we provide a unified environment to carry out variable selection using iterative sure independence screening (SIS) (Fan and Lv (2008)<doi:10.1111/j.1467-9868.2008.00674.x>) and all of its variants in generalized linear models (Fan and Song (2009)<doi:10.1214/10-AOS798>) and the Cox proportional hazards model (Fan, Feng and Wu (2010)<doi:10.1214/10-IMSCOLL606>).
Author: Yang Feng [aut, cre], Jianqing Fan [aut], Diego Franco Saldana [aut], Yichao Wu [aut], Richard Samworth [aut]
Maintainer: Yang Feng <yangfengstat@gmail.com>

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Package seagull updated to version 1.0.4 with previous version 1.0.3 dated 2020-01-19

Title: Lasso, Group Lasso, and Sparse-Group Lasso for Mixed Models
Description: Proximal gradient descent solver for the operators lasso, group lasso, and sparse-group lasso. The implementation involves backtracking line search and warm starts. Input data needs to be clustered/grouped for the (sparse-)group lasso before calling these algorithms.
Author: Jan Klosa [aut, cre], Noah Simon [ths], Dörte Wittenburg [ths]
Maintainer: Jan Klosa <klosa@fbn-dummerstorf.de>

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Package esquisse updated to version 0.3.0 with previous version 0.2.3 dated 2020-01-09

Title: Explore and Visualize Your Data Interactively
Description: A 'shiny' gadget to create 'ggplot2' charts interactively with drag-and-drop to map your variables. You can quickly visualize your data accordingly to their type, export to 'PNG' or 'PowerPoint', and retrieve the code to reproduce the chart.
Author: Fanny Meyer [aut], Victor Perrier [aut, cre], Ian Carroll [ctb] (Faceting support)
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package WR updated to version 0.1.1 with previous version 0.1.0 dated 2019-10-06

Title: Win Ratio Analysis
Description: Contains win-ratio analysis routines for prioritized composite time-to-event outcomes, e.g., death and non-fatal events. These routines include functions to fit the proportional win-fractions (PW) model and to compute and plot the standardized score process to assess the proportionality assumption.
Author: Lu Mao and Tuo Wang
Maintainer: Lu Mao <lmao@biostat.wisc.edu>

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Package tidyquant updated to version 0.5.10 with previous version 0.5.9 dated 2019-12-15

Title: Tidy Quantitative Financial Analysis
Description: Bringing financial analysis to the 'tidyverse'. The 'tidyquant' package provides a convenient wrapper to various 'xts', 'zoo', 'quantmod', 'TTR' and 'PerformanceAnalytics' package functions and returns the objects in the tidy 'tibble' format. The main advantage is being able to use quantitative functions with the 'tidyverse' functions including 'purrr', 'dplyr', 'tidyr', 'ggplot2', 'lubridate', etc. See the 'tidyquant' website for more information, documentation and examples.
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>

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Package bestNormalize updated to version 1.4.3 with previous version 1.4.2 dated 2019-08-20

Title: Normalizing Transformation Functions
Description: Estimate a suite of normalizing transformations, including a new adaptation of a technique based on ranks which can guarantee normally distributed transformed data if there are no ties: ordered quantile normalization (ORQ). ORQ normalization combines a rank-mapping approach with a shifted logit approximation that allows the transformation to work on data outside the original domain. It is also able to handle new data within the original domain via linear interpolation. The package is built to estimate the best normalizing transformation for a vector consistently and accurately. It implements the Box-Cox transformation, the Yeo-Johnson transformation, three types of Lambert WxF transformations, and the ordered quantile normalization transformation. It also estimates the normalization efficacy of other commonly used transformations.
Author: Ryan Andrew Peterson [aut, cre]
Maintainer: Ryan Andrew Peterson <ryan.a.peterson@cuanschutz.edu>

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Package sociome updated to version 1.3.2 with previous version 1.3.0 dated 2019-11-06

Title: Operationalizing Social Determinants of Health Data for Researchers
Description: Accesses raw data via API and calculates social determinants of health measures for user-specified locations in the US, returning them in tidyverse- and sf-compatible data frames.
Author: Nik Krieger [aut, cre], Jarrod Dalton [aut], Cindy Wang [aut], Adam Perzynski [aut], National Institutes of Health/National Institute on Aging [fnd] (The development of this software package was supported by a research grant from the National Institutes of Health/National Institute on Aging, (Principal Investigators: Jarrod E. Dalton, PhD and Adam T. Perzynski, PhD; Grant Number: 5R01AG055480-02). All of its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH.)
Maintainer: Nik Krieger <nk@case.edu>

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Package sidrar updated to version 0.2.5 with previous version 0.2.4 dated 2017-07-25

Title: An Interface to IBGE's SIDRA API
Description: Allows the user to connect with IBGE's (Instituto Brasileiro de Geografia e Estatistica, see <http://www.ibge.gov.br/> for more information) SIDRA API in a flexible way. SIDRA is the acronym to "Sistema IBGE de Recuperacao Automatica" and is the system where IBGE turns available aggregate data from their researches.
Author: Renato Prado Siqueira [aut, cre]
Maintainer: Renato Prado Siqueira <rpradosiqueira@gmail.com>

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Package egor updated to version 0.20.01 with previous version 0.19.10 dated 2019-10-07

Title: Import and Analyse Ego-Centered Network Data
Description: Tools for importing, analyzing and visualizing ego-centered network data. Supports several data formats, including the export formats of 'EgoNet', 'EgoWeb 2.0' and 'openeddi'. An interactive (shiny) app for the intuitive visualization of ego-centered networks is provided. Also included are procedures for creating and visualizing Clustered Graphs (Lerner 2008 <DOI:10.1109/PACIFICVIS.2008.4475458>).
Author: Till Krenz [aut, cre], Pavel N. Krivitsky [aut], Raffaele Vacca [aut], Michal Bojanowski [aut], Markus Gamper [ctb], Andreas Herz [aut], Christopher McCarty [ctb]
Maintainer: Till Krenz <egor@tillt.net>

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Package cabinets updated to version 0.4.0 with previous version 0.3.1 dated 2019-11-01

Title: Project Specific Workspace Organization Templates
Description: Creates project specific directory and file templates that are written to a .Rprofile file. Upon starting a new R session, these templates can be used to streamline the creation of new directories that are standardized to the user's preferences.
Author: Nick Williams [aut, cre] (<https://orcid.org/0000-0002-1378-4831>)
Maintainer: Nick Williams <ntwilliams.personal@gmail.com>

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Package processR updated to version 0.2.3 with previous version 0.1.0 dated 2019-03-07

Title: Implementation of the 'PROCESS' Macro
Description: Perform moderation, mediation, moderated mediation and moderated moderation. Inspired from famous 'PROCESS' macro for 'SPSS' and 'SAS' created by Andrew Hayes.
Author: Keon-Woong Moon [aut, cre], Sokyoung Hong [ctb]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

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Package statgenGWAS updated to version 1.0.3 with previous version 1.0.2 dated 2020-01-20

Title: Genome Wide Association Studies
Description: Fast single trait Genome Wide Association Studies (GWAS) following the method described in Kang et al. (2010), <doi:10.1038/ng.548>. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris.
Author: Bart-Jan van Rossum [aut, cre], Willem Kruijer [aut] (<https://orcid.org/0000-0001-7179-1733>), Fred van Eeuwijk [ctb] (<https://orcid.org/0000-0003-3672-2921>), Martin Boer [ctb], Marcos Malosetti [ctb] (<https://orcid.org/0000-0002-8150-1397>), Daniela Bustos-Korts [ctb] (<https://orcid.org/0000-0003-3827-6726>), Emilie Millet [ctb] (<https://orcid.org/0000-0002-2913-4892>), Joao Paulo [ctb] (<https://orcid.org/0000-0002-4180-0763>), Maikel Verouden [ctb] (<https://orcid.org/0000-0002-4893-3323>), Ron Wehrens [ctb] (<https://orcid.org/0000-0002-8798-5599>), Choazhi Zheng [ctb] (<https://orcid.org/0000-0001-6030-3933>)
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package nlmixr updated to version 1.1.1-5 with previous version 1.1.1-3 dated 2019-11-13

Title: Nonlinear Mixed Effects Models in Population Pharmacokinetics and Pharmacodynamics
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'RxODE' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut] (<https://orcid.org/0000-0001-8538-6691>), Yuan Xiong [aut], Rik Schoemaker [aut] (<https://orcid.org/0000-0002-7538-3005>), Justin Wilkins [aut] (<https://orcid.org/0000-0002-7099-9396>), Richard Hooijmaijers [aut], Teun Post [aut], Wenping Wang [aut, cre], Robert Leary [ctb], Mirjam Trame [ctb], Hadley Wickham [ctb], Dirk Eddelbuettel [cph], Johannes Pfeifer [ctb], Robert B. Schnabel [ctb], Elizabeth Eskow [ctb], Emmanuelle Comets [ctb], Audrey Lavenu [ctb], Marc Lavielle [ctb], David Ardia [cph], Bill Denney [ctb] (<https://orcid.org/0000-0002-5759-428X>), Daniel C. Dillon [ctb], Katharine Mullen [cph], Ben Goodrich [ctb]
Maintainer: Wenping Wang <wwang8198@gmail.com>

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Package lightr updated to version 1.0 with previous version 0.1 dated 2019-11-19

Title: Read Spectrometric Data and Metadata
Description: Parse various reflectance/transmittance/absorbance spectra file formats to extract spectral data and metadata, as described in Gruson, White & Maia (2019) <doi:10.21105/joss.01857>. This package has been peer-reviewed by rOpenSci (v. 0.1).
Author: Hugo Gruson [cre, aut] (<https://orcid.org/0000-0002-4094-1476>), Rafael Maia [aut] (<https://orcid.org/0000-0002-7563-9795>), Thomas White [aut] (<https://orcid.org/0000-0002-3976-1734>), Kotya Karapetyan [cph] (Author of the MATLAB script to read Avantes binary files (CC-BY))
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>

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Package restriktor updated to version 0.2-600 with previous version 0.2-500 dated 2019-12-09

Title: Restricted Statistical Estimation and Inference for Linear Models
Description: Allow for easy-to-use testing or evaluating of linear equality and inequality restrictions about parameters and effects in (generalized) linear statistical models.
Author: Leonard Vanbrabant [aut, cre], Yves Rosseel [ctb]
Maintainer: Leonard Vanbrabant <info@restriktor.org>

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Package difNLR updated to version 1.3.1 with previous version 1.3.0 dated 2019-08-20

Title: DIF and DDF Detection by Non-Linear Regression Models
Description: Detection of differential item functioning (DIF) among dichotomously scored items and differential distractor functioning (DDF) among unscored items with non-linear regression procedures based on generalized logistic regression models (Drabinova and Martinkova, 2017, doi:10.1111/jedm.12158).
Author: Adela Hladka [aut, cre], Patricia Martinkova [aut], Karel Zvara [ctb]
Maintainer: Adela Hladka <hladka@cs.cas.cz>

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Package tfprobability updated to version 0.9.0.0 with previous version 0.8.0.0 dated 2019-10-30

Title: Interface to 'TensorFlow Probability'
Description: Interface to 'TensorFlow Probability', a 'Python' library built on 'TensorFlow' that makes it easy to combine probabilistic models and deep learning on modern hardware ('TPU', 'GPU'). 'TensorFlow Probability' includes a wide selection of probability distributions and bijectors, probabilistic layers, variational inference, Markov chain Monte Carlo, and optimizers such as Nelder-Mead, BFGS, and SGLD.
Author: Sigrid Keydana [aut, cre], Daniel Falbel [ctb], Kevin Kuo [ctb] (<https://orcid.org/0000-0001-7803-7901>), RStudio [cph]
Maintainer: Sigrid Keydana <sigrid@rstudio.com>

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Package ctsem updated to version 3.1.0 with previous version 3.0.9 dated 2019-12-18

Title: Continuous Time Structural Equation Modelling
Description: Hierarchical continuous time state space modelling, for linear and nonlinear systems measured by continuous variables, with limited support for binary data. The subject specific dynamic system is modelled as a stochastic differential equation (SDE), measurement models are typically multivariate normal factor models. Using the original ctsem formulation based on OpenMx, described in the JSS paper "Continuous Time Structural Equation Modeling with R Package ctsem", with updated version as CRAN vignette <https://cran.r-project.org/package=ctsem/vignettes/ctsem.pdf> , linear mixed effects SDE's estimated via maximum likelihood and optimization are possible. Using the Stan based formulation, described in <https://github.com/cdriveraus/ctsem/raw/master/vignettes/hierarchicalmanual.pdf> , nonlinearity (state dependent parameters) and random effects on all parameters are possible, using either optimization (with optional importance sampling) or Stan's Hamiltonian Monte Carlo sampling. Priors may be used. For the conceptual overview of the hierarchical Bayesian linear SDE approach, see <https://www.researchgate.net/publication/324093594_Hierarchical_Bayesian_Continuous_Time_Dynamic_Modeling>. Exogenous inputs may also be included, for an overview of such possibilities see <https://www.researchgate.net/publication/328221807_Understanding_the_Time_Course_of_Interventions_with_Continuous_Time_Dynamic_Models> . Stan based functions are not available on 32 bit Windows systems at present.
Author: Charles Driver [aut, cre, cph], Manuel Voelkle [aut, cph], Han Oud [aut, cph], Trustees of Columbia University [cph]
Maintainer: Charles Driver <driver@mpib-berlin.mpg.de>

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Package clustermole updated to version 1.0.1 with previous version 1.0.0 dated 2020-01-20

Title: Unbiased Single-Cell Transcriptomic Data Cell Type Identification
Description: Assignment of cell type labels to single-cell RNA sequencing (scRNA-seq) clusters is often a time-consuming process that involves manual inspection of the cluster marker genes complemented with a detailed literature search. This is especially challenging when unexpected or poorly described populations are present. The clustermole R package provides methods to query thousands of human and mouse cell identity markers sourced from a variety of databases.
Author: Igor Dolgalev [aut, cre]
Maintainer: Igor Dolgalev <igor.dolgalev@nyumc.org>

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Package archetypal updated to version 1.1.0 with previous version 1.0.0 dated 2019-06-13

Title: Finds the Archetypal Analysis of a Data Frame
Description: Performs archetypal analysis by using Principal Convex Hull Analysis (PCHA) under a full control of all algorithmic parameters. It contains a set of functions for determining the initial solution, the optimal algorithmic parameters and the optimal number of archetypes. Post run tools are also available for the assessment of the derived solution. Morup, M., Hansen, LK (2012) <doi:10.1016/j.neucom.2011.06.033>. Hochbaum, DS, Shmoys, DB (1985) <doi:10.1287/moor.10.2.180>. Eddy, WF (1977) <doi:10.1145/355759.355768>. Barber, CB, Dobkin, DP, Huhdanpaa, HT (1996) <doi:10.1145/235815.235821>. Christopoulos, DT (2016) <doi:10.2139/ssrn.3043076>. Christopoulos, DT (2015) <doi:10.1016/j.jastp.2015.03.009> . Falk, A. et al. (2018), <doi:10.1093/qje/qjy013> .
Author: Demetris Christopoulos [aut, cre], David Midgley [ctb], Sunil Venaik [ctb], INSEAD Fontainebleau France [fnd, cph]
Maintainer: Demetris Christopoulos <dchristop@econ.uoa.gr>

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Package nesRdata (with last version 0.3.0) was removed from CRAN

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

2019-12-10 0.3.0
2018-09-10 0.2.0
2017-11-09 0.1.0

Permanent link
Package rankFD updated to version 0.0.4 with previous version 0.0.3 dated 2019-05-10

Title: Rank-Based Tests for General Factorial Designs
Description: The rankFD() function calculates the Wald-type statistic (WTS) and the ANOVA-type statistic (ATS) for nonparametric factorial designs, e.g., for count, ordinal or score data in a crossed design with an arbitrary number of factors.
Author: Frank Konietschke, Sarah Friedrich, Edgar Brunner, Markus Pauly
Maintainer: Frank Konietschke <frank.konietschke@charite.de>

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Package mev updated to version 1.13.1 with previous version 1.13 dated 2019-12-17

Title: Multivariate Extreme Value Distributions
Description: Various tools for the analysis of univariate, multivariate and functional extremes. Exact simulation from max-stable processes [Dombry, Engelke and Oesting (2016) <doi:10.1093/biomet/asw008>, R-Pareto processes for various parametric models, including Brown-Resnick (Wadsworth and Tawn, 2014, <doi:10.1093/biomet/ast042>) and Extremal Student (Thibaud and Opitz, 2015, <doi:10.1093/biomet/asv045>). Threshold selection methods, including Wadsworth (2016) <doi:10.1080/00401706.2014.998345>, and Northrop and Coleman (2014) <doi:10.1007/s10687-014-0183-z>. Multivariate extreme diagnostics. Estimation and likelihoods for univariate extremes, e.g., Coles (2001) <doi:10.1007/978-1-4471-3675-0>.
Author: Leo Belzile [aut, cre] (<https://orcid.org/0000-0002-9135-014X>), Jennifer L. Wadsworth [aut], Paul J. Northrop [aut], Scott D. Grimshaw [aut], Jin Zhang [ctb], Michael A. Stephens [ctb], Art B. Owen [ctb], Raphael Huser [aut]
Maintainer: Leo Belzile <belzilel@gmail.com>

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Package effectsize updated to version 0.1.1 with previous version 0.0.1 dated 2019-11-15

Title: Indices of Effect Size and Standardized Parameters
Description: Provide utilities to work with indices of effect size and standardized parameters for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), allowing computation and conversion of indices such as Cohen's d, r, odds, etc.
Author: Dominique Makowski [aut, cre] (<https://orcid.org/0000-0001-5375-9967>), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Ken Kelley [ctb], David Stanley [ctb]
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

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Package doRNG updated to version 1.8.2 with previous version 1.7.1 dated 2018-06-22

Title: Generic Reproducible Parallel Backend for 'foreach' Loops
Description: Provides functions to perform reproducible parallel foreach loops, using independent random streams as generated by L'Ecuyer's combined multiple-recursive generator [L'Ecuyer (1999), <DOI:10.1287/opre.47.1.159>]. It enables to easily convert standard %dopar% loops into fully reproducible loops, independently of the number of workers, the task scheduling strategy, or the chosen parallel environment and associated foreach backend.
Author: Renaud Gaujoux [aut, cre]
Maintainer: Renaud Gaujoux <renozao@protonmail.com>

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Package broom updated to version 0.5.4 with previous version 0.5.3 dated 2019-12-14

Title: Convert Statistical Analysis Objects into Tidy Tibbles
Description: Summarizes key information about statistical objects in tidy tibbles. This makes it easy to report results, create plots and consistently work with large numbers of models at once. Broom provides three verbs that each provide different types of information about a model. tidy() summarizes information about model components such as coefficients of a regression. glance() reports information about an entire model, such as goodness of fit measures like AIC and BIC. augment() adds information about individual observations to a dataset, such as fitted values or influence measures.
Author: David Robinson [aut], Alex Hayes [aut, cre] (<https://orcid.org/0000-0002-4985-5160>), Matthieu Gomez [ctb], Boris Demeshev [ctb], Dieter Menne [ctb], Benjamin Nutter [ctb], Luke Johnston [ctb], Ben Bolker [ctb], Francois Briatte [ctb], Jeffrey Arnold [ctb], Jonah Gabry [ctb], Luciano Selzer [ctb], Gavin Simpson [ctb], Jens Preussner [ctb], Jay Hesselberth [ctb], Hadley Wickham [ctb], Matthew Lincoln [ctb], Alessandro Gasparini [ctb], Lukasz Komsta [ctb], Frederick Novometsky [ctb], Wilson Freitas [ctb], Michelle Evans [ctb], Jason Cory Brunson [ctb], Simon Jackson [ctb], Ben Whalley [ctb], Michael Kuehn [ctb], Jorge Cimentada [ctb], Erle Holgersen [ctb], Karl Dunkle Werner [ctb]
Maintainer: Alex Hayes <alexpghayes@gmail.com>

Diff between broom versions 0.5.3 dated 2019-12-14 and 0.5.4 dated 2020-01-27

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Package bayestestR updated to version 0.5.1 with previous version 0.5.0 dated 2020-01-18

Title: Understand and Describe Bayesian Models and Posterior Distributions
Description: Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors).
Author: Dominique Makowski [aut, cre] (<https://orcid.org/0000-0001-5375-9967>), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Michael D. Wilson [aut] (<https://orcid.org/0000-0003-4143-7308>), Paul-Christian Bürkner [rev], Tristan Mahr [rev] (<https://orcid.org/0000-0002-8890-5116>), Henrik Singmann [ctb] (<https://orcid.org/0000-0002-4842-3657>), Quentin F. Gronau [ctb] (<https://orcid.org/0000-0001-5510-6943>)
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

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Package AzureRMR updated to version 2.3.1 with previous version 2.3.0 dated 2019-10-31

Title: Interface to 'Azure Resource Manager'
Description: A lightweight but powerful R interface to the 'Azure Resource Manager' REST API. The package exposes a comprehensive class framework and related tools for creating, updating and deleting 'Azure' resource groups, resources and templates. While 'AzureRMR' can be used to manage any 'Azure' service, it can also be extended by other packages to provide extra functionality for specific services. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi@microsoft.com>

Diff between AzureRMR versions 2.3.0 dated 2019-10-31 and 2.3.1 dated 2020-01-27

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More information about AzureRMR at CRAN
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