Sun, 10 Jan 2021

Package spmoran updated to version 0.2.1 with previous version 0.2.0-2 dated 2020-08-03

Title: Moran Eigenvector-Based Scalable Spatial Additive Mixed Models
Description: Functions for estimating spatial additive mixed models and other spatial regression models for Gaussian and non-Gaussian data. Moran eigenvectors are used to an approximate Gaussian process modeling which is interpretable in terms of the Moran coefficient. The GP is used for modeling the spatial processes in residuals and regression coefficients. For details see Murakami (2020) <arXiv:1703.04467>.
Author: Daisuke Murakami <dmuraka@ism.ac.jp>
Maintainer: Daisuke Murakami <dmuraka@ism.ac.jp>

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Package RXshrink updated to version 1.6 with previous version 1.5 dated 2020-12-16

Title: Maximum Likelihood Shrinkage using Generalized Ridge or Least Angle Regression Methods
Description: Functions are provided to calculate and display ridge TRACE diagnostics for a wide variety of alternative shrinkage Paths. While all methods focus on Maximum Likelihood estimation of unknown true effects under Normal-distribution theory, some estimates are modified to be Unbiased or to have "Correct Range" when estimating either [1] the noncentrality of the F-ratio for testing that true Beta coefficients are Zeros or [2] the "relative" MSE Risk (i.e. MSE divided by true sigma-square, where the "relative" variance of OLS is known.) The unr.ridge() function implements the "Unrestricted Path" introduced in Obenchain (2020) <arXiv:2005.14291>. This "new" p-parameter Shrinkage-Path is more efficient than the Paths used by qm.ridge(), aug.lars() and uc.lars(). Functions unr.aug() and unr.biv() augment the calculations made by unr.ridge() to provide plots of the bivariate confidence ellipses corresponding to any of the p*(p-1) possible pairs of shrunken regression coefficients.
Author: Bob Obenchain
Maintainer: Bob Obenchain <wizbob@att.net>

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Package quantreg updated to version 5.82 with previous version 5.75 dated 2020-10-27

Title: Quantile Regression
Description: Estimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also now included.
Author: Roger Koenker [cre, aut], Stephen Portnoy [ctb] (Contributions to Censored QR code), Pin Tian Ng [ctb] (Contributions to Sparse QR code), Blaise Melly [ctb] (Contributions to preprocessing code), Achim Zeileis [ctb] (Contributions to dynrq code essentially identical to his dynlm code), Philip Grosjean [ctb] (Contributions to nlrq code), Cleve Moler [ctb] (author of several linpack routines), Victor Chernozhukov [ctb] (contributions to extreme value inference code), Ivan Fernandez-Val [ctb] (contributions to extreme value inference code), Brian D Ripley [trl, ctb] (Initial (2001) R port from S (to my everlasting shame -- how could I have been so slow to adopt R!) and for numerous other suggestions and useful advice)
Maintainer: Roger Koenker <rkoenker@illinois.edu>

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Package odds.n.ends updated to version 0.1.3 with previous version 0.1.2 dated 2021-01-06

Title: Odds Ratios, Contingency Table, and Model Significance from a Generalized Linear Model Object
Description: Computes odds ratios and 95% confidence intervals from a generalized linear model object. It also computes model significance with the chi-squared statistic and p-value and it computes model fit using a contingency table to determine the percent of observations for which the model correctly predicts the value of the outcome. Calculates model sensitivity and specificity.
Author: Jenine Harris [aut, cre]
Maintainer: Jenine Harris <harrisj@wustl.edu>

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Package Mercator updated to version 0.99.0 with previous version 0.11.5 dated 2020-11-12

Title: Clustering and Visualizing Distance Matrices
Description: Defines the classes used to explore, cluster and visualize distance matrices, especially those arising from binary data.
Author: Kevin R. Coombes, Caitlin E. Coombes
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package httpcache updated to version 1.2.0 with previous version 1.1.0 dated 2017-10-17

Title: Query Cache for HTTP Clients
Description: In order to improve performance for HTTP API clients, 'httpcache' provides simple tools for caching and invalidating cache. It includes the HTTP verb functions GET, PUT, PATCH, POST, and DELETE, which are drop-in replacements for those in the 'httr' package. These functions are cache-aware and provide default settings for cache invalidation suitable for RESTful APIs; the package also enables custom cache-management strategies. Finally, 'httpcache' includes a basic logging framework to facilitate the measurement of HTTP request time and cache performance.
Author: Neal Richardson [aut, cre]
Maintainer: Neal Richardson <neal.p.richardson@gmail.com>

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Package gratia updated to version 0.5.0 with previous version 0.4.1 dated 2020-05-30

Title: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'
Description: Graceful 'ggplot'-based graphics and utility functions for working with generalized additive models (GAMs) fitted using the 'mgcv' package. Provides a reimplementation of the plot() method for GAMs that 'mgcv' provides, as well as 'tidyverse' compatible representations of estimated smooths.
Author: Gavin L. Simpson [aut, cre] (<https://orcid.org/0000-0002-9084-8413>), Henrik Singmann [ctb] (<https://orcid.org/0000-0002-4842-3657>)
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>

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 gratia-0.5.0/gratia/DESCRIPTION                                                                                   |   12 
 gratia-0.5.0/gratia/MD5                                                                                           |  197 
 gratia-0.5.0/gratia/NAMESPACE                                                                                     |   23 
 gratia-0.5.0/gratia/NEWS.md                                                                                       |   74 
 gratia-0.5.0/gratia/R/add-methods.R                                                                               |   65 
 gratia-0.5.0/gratia/R/confint-methods.R                                                                           |   41 
 gratia-0.5.0/gratia/R/datasets.R                                                                                  |    6 
 gratia-0.5.0/gratia/R/derivatives.R                                                                               |   86 
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 gratia-0.5.0/gratia/R/posterior-samples.R                                                                         |   30 
 gratia-0.5.0/gratia/R/residuals.R                                                                                 |only
 gratia-0.5.0/gratia/R/simulate-methods.R                                                                          |   33 
 gratia-0.5.0/gratia/R/smooth-differences.R                                                                        |    2 
 gratia-0.5.0/gratia/R/utililties.R                                                                                |  102 
 gratia-0.5.0/gratia/build                                                                                         |only
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 gratia-0.5.0/gratia/man/appraise.Rd                                                                               |    6 
 gratia-0.5.0/gratia/man/basis.Rd                                                                                  |    4 
 gratia-0.5.0/gratia/man/bird_move.Rd                                                                              |    2 
 gratia-0.5.0/gratia/man/confint.gam.Rd                                                                            |   11 
 gratia-0.5.0/gratia/man/data_sim.Rd                                                                               |    2 
 gratia-0.5.0/gratia/man/draw.evaluated_smooth.Rd                                                                  |   33 
 gratia-0.5.0/gratia/man/draw.gam.Rd                                                                               |   22 
 gratia-0.5.0/gratia/man/draw.mgcv_smooth.Rd                                                                       |    2 
 gratia-0.5.0/gratia/man/draw.smooth_samples.Rd                                                                    |    2 
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 gratia-0.5.0/gratia/man/posterior_samples.Rd                                                                      |    6 
 gratia-0.5.0/gratia/man/predicted_samples.Rd                                                                      |   26 
 gratia-0.5.0/gratia/man/simulate.Rd                                                                               |   61 
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 gratia-0.5.0/gratia/man/smooth_samples.Rd                                                                         |    6 
 gratia-0.5.0/gratia/man/term_variables.Rd                                                                         |    2 
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 gratia-0.5.0/gratia/man/zooplankton.Rd                                                                            |    2 
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 gratia-0.5.0/gratia/tests/figs/deps.txt                                                                           |    2 
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Package Delaporte updated to version 8.0.1 with previous version 8.0.0 dated 2021-01-05

Title: Statistical Functions for the Delaporte Distribution
Description: Provides probability mass, distribution, quantile, random-variate generation, and method-of-moments parameter-estimation functions for the Delaporte distribution with parameterization based on Vose (2008) <isbn:9780470512845>. The Delaporte is a discrete probability distribution which can be considered the convolution of a negative binomial distribution with a Poisson distribution. Alternatively, it can be considered a counting distribution with both Poisson and negative binomial components. It has been studied in actuarial science as a frequency distribution which has more variability than the Poisson, but less than the negative binomial.
Author: Avraham Adler [aut, cph, cre] (<https://orcid.org/0000-0002-3039-0703>)
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

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Package CNVScope updated to version 3.5.6 with previous version 3.3.9 dated 2020-12-15

Title: A Versatile Toolkit for Copy Number Variation Relationship Data Analysis and Visualization
Description: Provides the ability to create interaction maps, discover CNV map domains (edges), gene annotate interactions, and create interactive visualizations of these CNV interaction maps.
Author: James Dalgeish, Yonghong Wang, Jack Zhu, Paul Meltzer
Maintainer: James Dalgleish <james.dalgleish@nih.gov>

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Package stablelearner updated to version 0.1-3 with previous version 0.1-2 dated 2020-04-17

Title: Stability Assessment of Statistical Learning Methods
Description: Graphical and computational methods that can be used to assess the stability of results from supervised statistical learning.
Author: Michel Philipp [aut, cre], Carolin Strobl [aut], Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>), Thomas Rusch [aut], Kurt Hornik [aut] (<https://orcid.org/0000-0003-4198-9911>), Lennart Schneider [aut] (<https://orcid.org/0000-0003-4152-5308>)
Maintainer: Michel Philipp <michel.philipp.mp@gmail.com>

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Package pivotaltrackR updated to version 0.2.0 with previous version 0.1.0 dated 2018-01-19

Title: A Client for the 'Pivotal Tracker' API
Description: 'Pivotal Tracker' <https://www.pivotaltracker.com> is a project management software-as-a-service that provides a REST API. This package provides an R interface to that API, allowing you to query it and work with its responses.
Author: Neal Richardson [aut, cre]
Maintainer: Neal Richardson <neal.p.richardson@gmail.com>

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Package lgr updated to version 0.4.2 with previous version 0.4.1 dated 2020-10-20

Title: A Fully Featured Logging Framework
Description: A flexible, feature-rich yet light-weight logging framework based on 'R6' classes. It supports hierarchical loggers, custom log levels, arbitrary data fields in log events, logging to plaintext, 'JSON', (rotating) files, memory buffers. For extra appenders that support logging to databases, email and push notifications see the the package lgr.app.
Author: Stefan Fleck [aut, cre] (<https://orcid.org/0000-0003-3344-9851>)
Maintainer: Stefan Fleck <stefan.b.fleck@gmail.com>

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Package IsoplotRgui updated to version 3.6.1 with previous version 3.6 dated 2020-12-17

Title: Web Interface to 'IsoplotR'
Description: Provides a graphical user interface to the 'IsoplotR' package for radiometric geochronology. The GUI runs in an internet browser and can either be used offline, or hosted on a server to provide online access to the 'IsoplotR' toolbox.
Author: Pieter Vermeesch [aut, cre], Tim Band [ctb]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

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Package coronavirus updated to version 0.3.1 with previous version 0.3.0 dated 2020-08-03

Title: The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Dataset
Description: Provides a daily summary of the Coronavirus (COVID-19) cases by state/province. Data source: Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) Coronavirus <https://systems.jhu.edu/research/public-health/ncov/>.
Author: Rami Krispin [aut, cre], Jarrett Byrnes [aut] (<https://orcid.org/0000-0002-9791-9472>)
Maintainer: Rami Krispin <rami.krispin@gmail.com>

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Package cicerone updated to version 1.0.4 with previous version 1.0.3 dated 2020-08-04

Title: Provide Tours of 'Shiny' Applications
Description: Provide step by step guided tours of 'Shiny' applications.
Author: John Coene [aut, cre] (<https://orcid.org/0000-0002-6637-4107>), Etienne Bacher [ctb]
Maintainer: John Coene <jcoenep@gmail.com>

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Package gaussplotR updated to version 0.2.3 with previous version 0.2.0 dated 2020-11-28

Title: Fit, Predict and Plot 2D Gaussians
Description: Functions to fit two-dimensional Gaussian functions, predict values from fits, and produce plots of predicted data via either 'ggplot2' or base R plotting.
Author: Vikram B. Baliga [aut, cre, cph] (<https://orcid.org/0000-0002-9367-8974>)
Maintainer: Vikram B. Baliga <vbaliga87@gmail.com>

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Package clinmon updated to version 0.5.5 with previous version 0.2.0 dated 2020-09-29

Title: Hemodynamic Indexes Calculated from Clinical Monitoring
Description: Every research team have their own script for calculation of hemodynamic indexes. This package makes it possible to insert a long-format dataframe, and add both periods of interest (trigger-periods), and delete artifacts with deleter-files.
Author: Markus Harboe Olsen [cre, aut], Christian Riberholt [aut]
Maintainer: Markus Harboe Olsen <oel@oelfam.com>

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Package smicd updated to version 1.1.2 with previous version 1.1.1 dated 2020-07-18

Title: Statistical Methods for Interval-Censored Data
Description: Functions that provide statistical methods for interval-censored (grouped) data. The package supports the estimation of linear and linear mixed regression models with interval-censored dependent variables. Parameter estimates are obtained by a stochastic expectation maximization algorithm. Furthermore, the package enables the direct (without covariates) estimation of statistical indicators from interval-censored data via an iterative kernel density algorithm. Survey and Organisation for Economic Co-operation and Development (OECD) weights can be included into the direct estimation (see, Walter, P. (2019) <doi:10.17169/refubium-1621>).
Author: Paul Walter
Maintainer: Paul Walter <paul.walter@fu-berlin.de>

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Package serpstatr updated to version 0.1.0 with previous version 0.0.2 dated 2020-05-15

Title: 'Serpstat' API Wrapper
Description: The primary goal of 'Serpstat' API <https://serpstat.com/api/> is to reduce manual SEO (search engine optimization) and PPC (pay-per-click) tasks. You can automate your keywords research or competitors analysis with this API wrapper.
Author: Alex Danilin [aut, cre]
Maintainer: Alex Danilin <alexnikdanilin@gmail.com>

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Package sjPlot updated to version 2.8.7 with previous version 2.8.6 dated 2020-10-28

Title: Data Visualization for Statistics in Social Science
Description: Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, principal component analysis and correlation matrices, cluster analyses, scatter plots, stacked scales, effects plots of regression models (including interaction terms) and much more. This package supports labelled data.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Alexander Bartel [ctb] (<https://orcid.org/0000-0002-1280-6138>), Carsten Schwemmer [ctb], Chuck Powell [ctb] (<https://orcid.org/0000-0002-3606-2188>), Amir Djalovski [ctb], Johannes Titz [ctb] (<https://orcid.org/0000-0002-1102-5719>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package ComplexUpset updated to version 1.0.3 with previous version 0.7.3 dated 2020-12-08

Title: Create Complex UpSet Plots Using 'ggplot2' Components
Description: UpSet plots are an improvement over Venn Diagram for set overlap visualizations. Striving to bring the best of the 'UpSetR' and 'ggplot2', this package offers a way to create complex overlap visualisations, using simple and familiar tools, i.e. geoms of 'ggplot2'. For introduction to UpSet concept, see Lex et al. (2014) <doi:10.1109/TVCG.2014.2346248>.
Author: Michał Krassowski [aut, cre] (<https://orcid.org/0000-0002-9638-7785>)
Maintainer: Michał Krassowski <krassowski.michal+r@gmail.com>

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Package rotasym updated to version 1.1.0 with previous version 1.0.9 dated 2020-08-27

Title: Tests for Rotational Symmetry on the Hypersphere
Description: Implementation of the tests for rotational symmetry on the hypersphere proposed in García-Portugués, Paindaveine and Verdebout (2020) <doi:10.1080/01621459.2019.1665527>. The package also implements the proposed distributions on the hypersphere, based on the tangent-normal decomposition, and allows for the replication of the data application considered in the paper.
Author: Eduardo García-Portugués [aut, cre] (<https://orcid.org/0000-0002-9224-4111>), Davy Paindaveine [aut], Thomas Verdebout [aut]
Maintainer: Eduardo García-Portugués <edgarcia@est-econ.uc3m.es>

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Package flashlight updated to version 0.7.4 with previous version 0.7.3 dated 2020-06-20

Title: Shed Light on Black Box Machine Learning Models
Description: Shed light on black box machine learning models by the help of model performance, variable importance, global surrogate models, ICE profiles, partial dependence (Friedman J. H. (2001) <doi:10.1214/aos/1013203451>), accumulated local effects (Apley D. W. (2016) <arXiv:1612.08468>), further effects plots, scatter plots, interaction strength, and variable contribution breakdown (approximate SHAP) for single observations (Gosiewska and Biecek (2019) <arxiv:1903.11420>). All tools are implemented to work with case weights and allow for stratified analysis. Furthermore, multiple flashlights can be combined and analyzed together.
Author: Michael Mayer [aut, cre, cph]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

Diff between flashlight versions 0.7.3 dated 2020-06-20 and 0.7.4 dated 2021-01-10

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Package fad updated to version 0.3-3 with previous version 0.2-1 dated 2020-01-24

Title: Factor Analysis for Data
Description: Compute maximum likelihood estimators of parameters in a Gaussian factor model using the the matrix-free methodology described in Dai et al. (2020) <doi:10.1080/10618600.2019.1704296>. In contrast to the factanal() function from 'stats' package, fad() can handle high-dimensional datasets where number of variables exceed the sample size and is also substantially faster than the EM algorithms.
Author: Somak Dutta [aut, cre], Fan Dai [aut], Ranjan Maitra [ctb]
Maintainer: Somak Dutta <somakd@iastate.edu>

Diff between fad versions 0.2-1 dated 2020-01-24 and 0.3-3 dated 2021-01-10

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Package addinslist updated to version 0.4.0 with previous version 0.3 dated 2019-08-30

Title: Discover and Install Useful RStudio Addins
Description: Browse through a continuously updated list of existing RStudio addins and install/uninstall their corresponding packages.
Author: Dean Attali [aut, cre] (<https://orcid.org/0000-0002-5645-3493>)
Maintainer: Dean Attali <daattali@gmail.com>

Diff between addinslist versions 0.3 dated 2019-08-30 and 0.4.0 dated 2021-01-10

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Package SphericalCubature updated to version 1.5 with previous version 1.4 dated 2017-09-16

Title: Numerical Integration over Spheres and Balls in n-Dimensions; Multivariate Polar Coordinates
Description: Provides several methods to integrate functions over the unit sphere and ball in n-dimensional Euclidean space. Routines for converting to/from multivariate polar/spherical coordinates are also provided.
Author: John P. Nolan, American University
Maintainer: John P. Nolan <jpnolan@american.edu>

Diff between SphericalCubature versions 1.4 dated 2017-09-16 and 1.5 dated 2021-01-10

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Package spatialEco updated to version 1.3-5 with previous version 1.3-3 dated 2020-12-02

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

Diff between spatialEco versions 1.3-3 dated 2020-12-02 and 1.3-5 dated 2021-01-10

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Package shiny.semantic updated to version 0.4.2 with previous version 0.4.0 dated 2020-09-07

Title: Semantic UI Support for Shiny
Description: Creating a great user interface for your Shiny apps can be a hassle, especially if you want to work purely in R and don't want to use, for instance HTML templates. This package adds support for a powerful UI library Semantic UI - <https://fomantic-ui.com/>. It also supports universal UI input binding that works with various DOM elements.
Author: Filip Stachura [aut], Dominik Krzeminski [cre], Krystian Igras [aut], Adam Forys [aut], Paweł Przytuła [aut], Jakub Chojna [aut], Olga Mierzwa-Sulima [aut], Ashley Baldry [ctb], Jakub Chojna [ctb], Olga Mierzwa-Sulima [ctb], Pedro Manuel Coutinho da Silva [ctb], Paweł Przytuła [ctb], Kamil Żyła [ctb], Rabii Bouhestine [ctb], Appsilon Sp. z o.o. [cph]
Maintainer: Dominik Krzeminski <dominik@appsilon.com>

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Package scoringTools updated to version 0.1.2 with previous version 0.1.1 dated 2020-10-27

Title: Credit Scoring Tools
Description: Grouping essential tools for credit scoring. These statistical tools may be useful for other use-cases as well but were primarily designed for it. First, there are Reject Inference methods (Ehrhardt et al. (2017) <arXiv:1903.10855>). Second, we build upon the already CRAN-available package 'discretization' to automate discretization of continuous features.
Author: Adrien Ehrhardt [aut, cre]
Maintainer: Adrien Ehrhardt <adrien.ehrhardt@centraliens-lille.org>

Diff between scoringTools versions 0.1.1 dated 2020-10-27 and 0.1.2 dated 2021-01-10

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Package rgl updated to version 0.104.16 with previous version 0.103.5 dated 2020-11-23

Title: 3D Visualization Using OpenGL
Description: Provides medium to high level functions for 3D interactive graphics, including functions modelled on base graphics (plot3d(), etc.) as well as functions for constructing representations of geometric objects (cube3d(), etc.). Output may be on screen using OpenGL, or to various standard 3D file formats including WebGL, PLY, OBJ, STL as well as 2D image formats, including PNG, Postscript, SVG, PGF.
Author: Daniel Adler <dadler@uni-goettingen.de>, Duncan Murdoch <murdoch.duncan@gmail.com>, and others (see README)
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

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Package RcppArmadillo updated to version 0.10.1.2.2 with previous version 0.10.1.2.0 dated 2020-11-16

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Armadillo requires a C++11 compiler.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates and Binxiang Ni
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package MVar.pt updated to version 2.1.4 with previous version 2.1.3 dated 2020-05-22

Title: Analise multivariada (brazilian portuguese)
Description: Pacote para analise multivariada, tendo funcoes que executam analise de correspondencia simples (CA) e multipla (MCA), analise de componentes principais (PCA), analise de correlacao canonica (CCA), analise fatorial (FA), escalonamento multidimensional (MDS), analise discriminante linear (LDA) e quadratica (QDA), analise de cluster hierarquico e nao hierarquico, regressao linear simples e multipla, analise de multiplos fatores (MFA) para dados quantitativos, qualitativos, de frequencia (MFACT) e dados mistos, biplot, scatter plot, projection pursuit (PP), grant tour e outras funcoes uteis para a analise multivariada.
Author: Paulo Cesar Ossani <ossanipc@hotmail.com> Marcelo Angelo Cirillo <macufla@des.ufla.br>
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package MFAg updated to version 1.8 with previous version 1.7 dated 2020-05-22

Title: Multiple Factor Analysis (MFA)
Description: Performs Multiple Factor Analysis method for quantitative, categorical, frequency and mixed data, in addition to generating a lot of graphics, also has other useful functions.
Author: Paulo Cesar Ossani <ossanipc@hotmail.com> Marcelo Angelo Cirillo <macufla@dex.ufla.br>
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package markovchain updated to version 0.8.5-4 with previous version 0.8.5-3 dated 2020-12-06

Title: Easy Handling Discrete Time Markov Chains
Description: Functions and S4 methods to create and manage discrete time Markov chains more easily. In addition functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of their structural proprieties) analysis are provided. See Spedicato (2017) <doi:10.32614/RJ-2017-036>.
Author: Giorgio Alfredo Spedicato [aut, cre] (<https://orcid.org/0000-0002-0315-8888>), Tae Seung Kang [aut], Sai Bhargav Yalamanchi [aut], Mildenberger Thoralf [ctb] (<https://orcid.org/0000-0001-7242-1873>), Deepak Yadav [aut], Ignacio Cordón [aut] (<https://orcid.org/0000-0002-3152-0231>), Vandit Jain [ctb], Toni Giorgino [ctb] (<https://orcid.org/0000-0001-6449-0596>), Richèl J.C. Bilderbeek [ctb] (<https://orcid.org/0000-0003-1107-7049>), Daniel Ebbert [ctb] (<https://orcid.org/0000-0003-3666-7205>), Shreyash Maheshwari [ctb]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>

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Package git2r updated to version 0.28.0 with previous version 0.27.1 dated 2020-05-03

Title: Provides Access to Git Repositories
Description: Interface to the 'libgit2' library, which is a pure C implementation of the 'Git' core methods. Provides access to 'Git' repositories to extract data and running some basic 'Git' commands.
Author: See AUTHORS file.
Maintainer: Stefan Widgren <stefan.widgren@gmail.com>

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Package DMCfun updated to version 1.3.0 with previous version 1.1.0 dated 2020-11-25

Title: Diffusion Model of Conflict (DMC) in Reaction Time Tasks
Description: DMC model simulation detailed in Ulrich, R., Schroeter, H., Leuthold, H., & Birngruber, T. (2015). Automatic and controlled stimulus processing in conflict tasks: Superimposed diffusion processes and delta functions. Cognitive Psychology, 78, 148-174. Ulrich et al. (2015) <doi:10.1016/j.cogpsych.2015.02.005>. Decision processes within choice reaction-time (CRT) tasks are often modelled using evidence accumulation models (EAMs), a variation of which is the Diffusion Decision Model (DDM, for a review, see Ratcliff & McKoon, 2008). Ulrich et al. (2015) introduced a Diffusion Model for Conflict tasks (DMC). The DMC model combines common features from within standard diffusion models with the addition of superimposed controlled and automatic activation. The DMC model is used to explain distributional reaction time (and error rate) patterns in common behavioural conflict-like tasks (e.g., Flanker task, Simon task). This R-package implements the DMC model and provides functionality to fit the model to observed data.
Author: Ian G. Mackenzie [cre, aut], Carolin Dudschig [aut]
Maintainer: Ian G. Mackenzie <ian.mackenzie@uni-tuebingen.de>

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Package ctmm updated to version 0.6.0 with previous version 0.5.10 dated 2020-05-07

Title: Continuous-Time Movement Modeling
Description: Functions for identifying, fitting, and applying continuous-space, continuous-time stochastic movement models to animal tracking data. The package is described in Calabrese et al (2016) <doi:10.1111/2041-210X.12559>, with models and methods based on those introduced in Fleming & Calabrese et al (2014) <doi:10.1086/675504>, Fleming et al (2014) <doi:10.1111/2041-210X.12176>, Fleming et al (2015) <doi:10.1103/PhysRevE.91.032107>, Fleming et al (2015) <doi:10.1890/14-2010.1>, Fleming et al (2016) <doi:10.1890/15-1607>, Péron & Fleming et al (2016) <doi:10.1186/s40462-016-0084-7>, Fleming & Calabrese (2017) <doi:10.1111/2041-210X.12673>, Péron et al (2017) <doi:10.1002/ecm.1260>, Fleming et al (2017) <doi:10.1016/j.ecoinf.2017.04.008>, Fleming et al (2018) <doi:10.1002/eap.1704>, Winner & Noonan et al (2018) <doi:10.1111/2041-210X.13027>, Fleming et al (2019) <doi:10.1111/2041-210X.13270>, Noonan & Fleming et al (2019) <doi:10.1186/s40462-019-0177-1>, Fleming et al (2020) <doi:10.1101/2020.06.12.130195>, and Noonan et al (2020) <doi:10.1101/2020.08.24.261628>.
Author: Christen H. Fleming [aut, cre], Justin M. Calabrese [aut], Xianghui Dong [ctb], Kevin Winner [ctb], Guillaume Péron [ctb], Michael J. Noonan [ctb], Bart Kranstauber [ctb], Eliezer Gurarie [ctb], Kamran Safi [ctb], Paul C. Cross [dtc], Thomas Mueller [dtc], Rogério C. de Paula [dtc], Thomas Akre [dtc], Jonathan Drescher-Lehman [dtc], Autumn-Lynn Harrison [dtc], Ronaldo G. Morato [dtc]
Maintainer: Christen H. Fleming <flemingc@si.edu>

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Package bayesplot updated to version 1.8.0 with previous version 1.7.2 dated 2020-05-28

Title: Plotting for Bayesian Models
Description: Plotting functions for posterior analysis, MCMC diagnostics, prior and posterior predictive checks, and other visualizations to support the applied Bayesian workflow advocated in Gabry, Simpson, Vehtari, Betancourt, and Gelman (2019) <doi:10.1111/rssa.12378>. The package is designed not only to provide convenient functionality for users, but also a common set of functions that can be easily used by developers working on a variety of R packages for Bayesian modeling, particularly (but not exclusively) packages interfacing with 'Stan'.
Author: Jonah Gabry [aut, cre], Tristan Mahr [aut], Paul-Christian Bürkner [ctb], Martin Modrák [ctb], Malcolm Barrett [ctb], Frank Weber [ctb], Eduardo Coronado Sroka [ctb], Aki Vehtari [ctb]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

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More information about bayesplot at CRAN
Permanent link

Package WVPlots updated to version 1.3.2 with previous version 1.3.1 dated 2020-10-17

Title: Common Plots for Analysis
Description: Select data analysis plots, under a standardized calling interface implemented on top of 'ggplot2' and 'plotly'. Plots of interest include: 'ROC', gain curve, scatter plot with marginal distributions, conditioned scatter plot with marginal densities, box and stem with matching theoretical distribution, and density with matching theoretical distribution.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between WVPlots versions 1.3.1 dated 2020-10-17 and 1.3.2 dated 2021-01-10

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Package clustcurv updated to version 2.0.1 with previous version 2.0.0 dated 2020-03-21

Title: Determining Groups in Multiples Curves
Description: A method for determining groups in multiple curves with an automatic selection of their number based on k-means or k-medians algorithms. The selection of the optimal number is provided by bootstrap methods. The methodology can be applied both in regression and survival framework. Implemented methods are: Grouping multiple survival curves described by Villanueva et al. (2018) <doi:10.1002/sim.8016>.
Author: Nora M. Villanueva [aut, cre] (<https://orcid.org/0000-0001-8085-2745>), Marta Sestelo [aut] (<https://orcid.org/0000-0003-4284-6509>)
Maintainer: Nora M. Villanueva <nmvillanueva@uvigo.es>

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New package ungroup with initial version 1.3.0
Package: ungroup
Type: Package
Title: Penalized Composite Link Model for Efficient Estimation of Smooth Distributions from Coarsely Binned Data
Version: 1.3.0
Authors@R: c( person("Marius D.", "Pascariu", role = c("aut", "cre"), email = "rpascariu@outlook.com", comment = c(ORCID = "0000-0002-2568-6489")), person("Silvia", "Rizzi", role = "aut", email = "srizzi@health.sdu.dk"), person("Jonas", "Schoeley", role = "aut", comment = c(ORCID = "0000-0002-3340-8518")), person("Maciej J.", "Danko", role = "aut", email = "Danko@demogr.mpg.de", comment = c(ORCID = "0000-0002-7924-9022")) )
Description: Versatile method for ungrouping histograms (binned count data) assuming that counts are Poisson distributed and that the underlying sequence on a fine grid to be estimated is smooth. The method is based on the composite link model and estimation is achieved by maximizing a penalized likelihood. Smooth detailed sequences of counts and rates are so estimated from the binned counts. Ungrouping binned data can be desirable for many reasons: Bins can be too coarse to allow for accurate analysis; comparisons can be hindered when different grouping approaches are used in different histograms; and the last interval is often wide and open-ended and, thus, covers a lot of information in the tail area. Age-at-death distributions grouped in age classes and abridged life tables are examples of binned data. Because of modest assumptions, the approach is suitable for many demographic and epidemiological applications. For a detailed description of the method and applications see Rizzi et al. (2015) <doi:10.1093/aje/kwv020>.
License: MIT + file LICENSE
LazyData: TRUE
Depends: R (>= 3.4.0)
Imports: pbapply (>= 1.3), Rcpp (>= 0.12.0), rgl (>= 0.99.0), Rdpack (>= 0.8), Matrix
LinkingTo: Rcpp, RcppEigen
Suggests: MortalityLaws (>= 1.5.0), knitr (>= 1.20), rmarkdown (>= 1.10), testthat (>= 2.0.0)
RdMacros: Rdpack
URL: https://github.com/mpascariu/ungroup
BugReports: https://github.com/mpascariu/ungroup/issues
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2021-01-08 09:11:31 UTC; mpascariu
Author: Marius D. Pascariu [aut, cre] (<https://orcid.org/0000-0002-2568-6489>), Silvia Rizzi [aut], Jonas Schoeley [aut] (<https://orcid.org/0000-0002-3340-8518>), Maciej J. Danko [aut] (<https://orcid.org/0000-0002-7924-9022>)
Maintainer: Marius D. Pascariu <rpascariu@outlook.com>
Repository: CRAN
Date/Publication: 2021-01-10 15:40:02 UTC

More information about ungroup at CRAN
Permanent link

Package tsfa updated to version 2021.1-3 with previous version 2014.10-1 dated 2015-05-01

Title: Time Series Factor Analysis
Description: Extraction of Factors from Multivariate Time Series. See '?00tsfa-Intro' for more details.
Author: Paul Gilbert and Erik Meijer <pgilbert.ttv9z@ncf.ca>
Maintainer: Paul Gilbert <pgilbert.ttv9z@ncf.ca>

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Package TestDimorph updated to version 0.4.0 with previous version 0.3.5 dated 2020-10-29

Title: Analysis Of The Interpopulation Difference In Degree of Sexual Dimorphism Using Summary Statistics
Description: Offers a solution for the unavailability of raw data in most anthropological studies by facilitating the calculations of several sexual dimorphism related analyses using the published summary statistics of metric data (mean, standard deviation and sex specific sample size).
Author: Bassam A. Abulnoor [aut, cre] (<https://orcid.org/0000-0003-4351-2754>), MennattAllah H. Attia [aut] (<https://orcid.org/0000-0002-2304-532X>), Lyle W. Konigsberg [aut] (<https://orcid.org/0000-0003-4052-1575>)
Maintainer: Bassam A. Abulnoor <bassam.abulnoor@gmail.com>

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New package resumer with initial version 0.0.4
Package: resumer
Title: Build Resumes with R
Version: 0.0.4
Authors@R: person("Jared", "Lander", email = "packages@jaredlander.com", role = c("aut", "cre"))
Description: Using a CSV, LaTeX and R to easily build attractive resumes.
Depends: R (>= 3.2.1)
License: BSD_3_clause + file LICENSE
LazyData: true
ByteCompile: true
URL: https://github.com/jaredlander/resumer
BugReports: https://github.com/jaredlander/resumer/issues
Suggests: testthat
Imports: useful, dplyr, rmarkdown
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-08 03:08:31 UTC; jared
Author: Jared Lander [aut, cre]
Maintainer: Jared Lander <packages@jaredlander.com>
Repository: CRAN
Date/Publication: 2021-01-10 15:40:06 UTC

More information about resumer at CRAN
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New package REEMtree with initial version 0.90.4
Package: REEMtree
Type: Package
Title: Regression Trees with Random Effects for Longitudinal (Panel) Data
Version: 0.90.4
Date: 2021-01-08
Author: Rebecca Sela, Jeffrey Simonoff and Wenbo Jing
Maintainer: Wenbo Jing <wj2093@stern.nyu.edu>
Depends: nlme, rpart, methods, graphics, stats
Suggests: AER
Description: A data mining approach for longitudinal and clustered data, which combines the structure of mixed effects model with tree-based estimation methods. See Sela, R.J. and Simonoff, J.S. (2012) RE-EM trees: a data mining approach for longitudinal and clustered data <doi:10.1007/s10994-011-5258-3>.
License: GPL
URL: http://pages.stern.nyu.edu/~jsimonof/REEMtree/
NeedsCompilation: no
Packaged: 2021-01-08 01:22:24 UTC; WENBO JING
Repository: CRAN
Date/Publication: 2021-01-10 15:40:15 UTC

More information about REEMtree at CRAN
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Package Pursuit updated to version 1.0.2 with previous version 1.0.1 dated 2020-03-24

Title: Projection Pursuit
Description: Package for projection pursuit (PP) with 17 methods and grand tour with 3 methods. Being that projection pursuit searches for low-dimensional linear projections in high-dimensional data structures, while grand tour is a technique used to explore multivariate statistical data through animation.
Author: Paulo Cesar Ossani <ossanipc@hotmail.com> Marcelo Angelo Cirillo <macufla@des.ufla.br>
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

Diff between Pursuit versions 1.0.1 dated 2020-03-24 and 1.0.2 dated 2021-01-10

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Package PCAmatchR updated to version 0.3.0 with previous version 0.2.1 dated 2020-08-03

Title: Match Cases to Controls Based on Genotype Principal Components
Description: Matches cases to controls based on genotype principal components (PC). In order to produce better results, matches are based on the weighted distance of PCs where the weights are equal to the % variance explained by that PC. A weighted Mahalanobis distance metric (Kidd et al. (1987) <DOI:10.1016/0031-3203(87)90066-5>) is used to determine matches.
Author: Derek W. Brown [aut, cre], Mitchel J. Machiela [aut], Timothy A. Myers [ctb], NCI [cph, fnd]
Maintainer: Derek W. Brown <derek.brown@nih.gov>

Diff between PCAmatchR versions 0.2.1 dated 2020-08-03 and 0.3.0 dated 2021-01-10

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More information about PCAmatchR at CRAN
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Package oysteR updated to version 0.1.1 with previous version 0.1.0 dated 2020-12-17

Title: Scans R Projects for Vulnerable Third Party Dependencies
Description: Collects a list of your third party R packages, and scans them with the 'OSS' Index provided by 'Sonatype', reporting back on any vulnerabilities that are found in the third party packages you use.
Author: Jeffry Hesse [aut], Brittany Belle [aut], Colin Gillespie [aut, cre] (<https://orcid.org/0000-0003-1787-0275>), Dan Rollo [aut], Josiah Parry [ctb], Sonatype [cph]
Maintainer: Colin Gillespie <csgillespie@gmail.com>

Diff between oysteR versions 0.1.0 dated 2020-12-17 and 0.1.1 dated 2021-01-10

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More information about oysteR at CRAN
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Package MVar updated to version 2.1.4 with previous version 2.1.3 dated 2020-05-22

Title: Multivariate Analysis
Description: Package for multivariate analysis, having functions that perform simple correspondence analysis (CA) and multiple correspondence analysis (MCA), principal components analysis (PCA), canonical correlation analysis (CCA), factorial analysis (FA), multidimensional scaling (MDS), linear (LDA) and quadratic discriminant analysis (QDA), hierarchical and non-hierarchical cluster analysis, simple and multiple linear regression, multiple factor analysis (MFA) for quantitative, qualitative, frequency (MFACT) and mixed data, biplot, scatter plot, projection pursuit (PP), grant tour method and other useful functions for the multivariate analysis.
Author: Paulo Cesar Ossani <ossanipc@hotmail.com> Marcelo Angelo Cirillo <macufla@des.ufla.br>
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

Diff between MVar versions 2.1.3 dated 2020-05-22 and 2.1.4 dated 2021-01-10

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Package maximin updated to version 1.0-4 with previous version 1.0-3 dated 2019-11-01

Title: Space-Filling Design under Maximin Distance
Description: Constructs a space-filling design under the criterion of maximum-minimum distance. Both discrete and continuous searches are provided.
Author: Furong Sun <furongs@vt.edu>, Robert B. Gramacy <rbg@vt.edu>
Maintainer: Furong Sun <furongs@vt.edu>

Diff between maximin versions 1.0-3 dated 2019-11-01 and 1.0-4 dated 2021-01-10

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More information about maximin at CRAN
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New package knitcitations with initial version 1.0.12
Package: knitcitations
Type: Package
Title: Citations for 'Knitr' Markdown Files
Authors@R: person("Carl", "Boettiger", role=c("aut", "cre"), email="cboettig@gmail.com", comment = "https://orcid.org/0000-0002-1642-628X")
Version: 1.0.12
Description: Provides the ability to create dynamic citations in which the bibliographic information is pulled from the web rather than having to be entered into a local database such as 'bibtex' ahead of time. The package is primarily aimed at authoring in the R 'markdown' format, and can provide outputs for web-based authoring such as linked text for inline citations. Cite using a 'DOI', URL, or 'bibtex' file key. See the package URL for details.
URL: https://github.com/cboettig/knitcitations
BugReports: https://github.com/cboettig/knitcitations/issues
License: MIT + file LICENSE
VignetteBuilder: knitr
Depends: R (>= 3.0)
Imports: RefManageR (>= 0.8.2), digest, httr (>= 0.3), methods, utils
Suggests: testthat, knitr (>= 1.6), rmarkdown
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-08 17:07:39 UTC; cboettig
Author: Carl Boettiger [aut, cre] (<https://orcid.org/0000-0002-1642-628X>)
Maintainer: Carl Boettiger <cboettig@gmail.com>
Repository: CRAN
Date/Publication: 2021-01-10 15:40:09 UTC

More information about knitcitations at CRAN
Permanent link

Package kayadata updated to version 0.5.0 with previous version 0.4.3 dated 2020-01-08

Title: Kaya Identity Data for Nations and Regions
Description: Provides data for Kaya identity variables (population, gross domestic product, primary energy consumption, and energy-related CO2 emissions) for the world and for individual nations, and utility functions for looking up data, plotting trends of Kaya variables, and plotting the fuel mix for a given country or region. The Kaya identity (Yoichi Kaya and Keiichi Yokobori, "Environment, Energy, and Economy: Strategies for Sustainability" (United Nations University Press, 1998) and <https://en.wikipedia.org/wiki/Kaya_identity>) expresses a nation's or region's greenhouse gas emissions in terms of its population, per-capita Gross Domestic Product, the energy intensity of its economy, and the carbon-intensity of its energy supply.
Author: Jonathan Gilligan [cre, aut] (<https://orcid.org/0000-0003-1375-6686>)
Maintainer: Jonathan Gilligan <jonathan.gilligan@vanderbilt.edu>

Diff between kayadata versions 0.4.3 dated 2020-01-08 and 0.5.0 dated 2021-01-10

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Package ivsacim updated to version 1.1 with previous version 1.0 dated 2020-10-28

Title: Structural Additive Cumulative Intensity Models with IV
Description: An instrumental variable estimator under structural cumulative additive intensity model is fitted, that leverages initial randomization as the IV. The estimator can be used to fit an additive hazards model under time to event data which handles treatment switching (treatment crossover) correctly. We also provide a consistent variance estimate.
Author: Andrew Ying
Maintainer: Andrew Ying <aying9339@gmail.com>

Diff between ivsacim versions 1.0 dated 2020-10-28 and 1.1 dated 2021-01-10

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New package HydroMe with initial version 2.0-1
Package: HydroMe
Type: Package
Title: Estimating Water Retention and Infiltration Model Parameters using Experimental Data
Version: 2.0-1
Date: 2021-01-07
Imports: stats
Suggests: minpack.lm, nlme
Author: Christian Thine Omuto [aut, cre], Martin Maechler [ctb], Vitalis Too [ctb]
Maintainer: Christian Thine Omuto <thineomuto@yahoo.com>
Description: This version 2 of the HydroMe v.1 package estimates the parameters in infiltration and water retention models by curve-fitting methods <doi:10.1016/j.cageo.2008.08.011>. The models considered are those commonly used in soil science. It has new models for water retention and characteristic curves.
License: GPL (>= 2)
URL: https://CRAN.r-project.org/package=HydroMe
NeedsCompilation: no
Packaged: 2021-01-08 07:54:40 UTC; Cthin
Repository: CRAN
Date/Publication: 2021-01-10 15:40:18 UTC

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Package faoutlier updated to version 0.7.6 with previous version 0.7.4 dated 2020-07-10

Title: Influential Case Detection Methods for Factor Analysis and Structural Equation Models
Description: Tools for detecting and summarize influential cases that can affect exploratory and confirmatory factor analysis models as well as structural equation models more generally (Chalmers, 2015, <doi:10.1177/0146621615597894>; Flora, D. B., LaBrish, C. & Chalmers, R. P., 2012, <doi:10.3389/fpsyg.2012.00055>).
Author: Phil Chalmers [aut, cre]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

Diff between faoutlier versions 0.7.4 dated 2020-07-10 and 0.7.6 dated 2021-01-10

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Package epinetr updated to version 0.94 with previous version 0.93 dated 2020-11-04

Title: Epistatic Network Modelling with Forward-Time Simulation
Description: Allows for forward-in-time simulation of epistatic networks with associated phenotypic output.
Author: Dion Detterer [aut, cre], Paul Kwan [aut], Cedric Gondro [aut]
Maintainer: Dion Detterer <ddettere@myune.edu.au>

Diff between epinetr versions 0.93 dated 2020-11-04 and 0.94 dated 2021-01-10

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Package cmfrec updated to version 2.4.2 with previous version 2.4.1 dated 2021-01-06

Title: Collective Matrix Factorization for Recommender Systems
Description: Collective matrix factorization (a.k.a. multi-view or multi-way factorization, Singh, Gordon, (2008) <doi:10.1145/1401890.1401969>) tries to approximate a matrix 'X' as the product of two low-dimensional matrices aided with secondary information matrices about rows and/or columns of 'X' which are also factorized using the same latent components. The intended usage is for recommender systems, dimensionality reduction, and missing value imputation. Implements extensions of the original model (Cortes, (2018) <arXiv:1809.00366>) and can produce different factorizations such as the weighted 'implicit-feedback' model (Hu, Koren, Volinsky, (2008) <doi:10.1109/ICDM.2008.22>), the 'weighted-lambda-regularization' model, (Zhou, Wilkinson, Schreiber, Pan, (2008) <doi:10.1007/978-3-540-68880-8_32>), or the enhanced model with 'implicit features' (Rendle, Zhang, Koren, (2019) <arXiv:1905.01395>), with or without side information. Can use gradient-based procedures or alternating-least squares procedures (Koren, Bell, Volinsky, (2009) <doi:10.1109/MC.2009.263>), with either a Cholesky solver, a faster conjugate gradient solver (Takacs, Pilaszy, Tikk, (2011) <doi:10.1145/2043932.2043987>), or a non-negative coordinate descent solver (Franc, Hlavac, Navara, (2005) <doi:10.1007/11556121_50>), providing efficient methods for sparse and dense data, and mixtures thereof. Supports L1 and L2 regularization in the main models, offers alternative most-popular and content-based models, and implements functionality for cold-start recommendations and imputation of 2D data.
Author: David Cortes [aut, cre, cph], Jorge Nocedal [cph], Naoaki Okazaki [cph]
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

Diff between cmfrec versions 2.4.1 dated 2021-01-06 and 2.4.2 dated 2021-01-10

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Package buildr updated to version 0.1.0 with previous version 0.0.4 dated 2020-05-12

Title: Organize & Run Build Scripts Comfortably
Description: Working with reproducible reports or any other similar projects often require to run the script that builds the output file in a specified way. 'buildr' can help you organize, modify and comfortably run those scripts. The package provides a set of functions that interactively guides you through the process and that are available as 'RStudio' Addin, meaning you can set up the keyboard shortcuts, enabling you to choose and run the desired build script with one keystroke anywhere anytime.
Author: Jan Netik [aut, cre] (<https://orcid.org/0000-0002-3888-3203>)
Maintainer: Jan Netik <netikja@gmail.com>

Diff between buildr versions 0.0.4 dated 2020-05-12 and 0.1.0 dated 2021-01-10

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New package bdlp with initial version 0.9-2
Package: bdlp
Version: 0.9-2
Date: 2021-01-03
Authors@R: c(person(given="Rainer", family="Dangl", email="rainer.dangl@bildung.gv.at", role=c("aut", "cre")))
Title: Transparent and Reproducible Artificial Data Generation
Depends: R (>= 3.0.0), graphics
Imports: GenOrd, MultiOrd, stringdist, rgl, RSQLite, MASS, DBI, methods, grDevices, stats, utils
Description: The main function generateDataset() processes a user-supplied .R file that contains metadata parameters in order to generate actual data. The metadata parameters have to be structured in the form of metadata objects, the format of which is outlined in the package vignette. This approach allows to generate artificial data in a transparent and reproducible manner.
License: GPL-2
LazyLoad: yes
Author: Rainer Dangl [aut, cre]
Maintainer: Rainer Dangl <rainer.dangl@bildung.gv.at>
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-01-05 18:39:48 UTC; raine
Repository: CRAN
Date/Publication: 2021-01-10 15:10:05 UTC

More information about bdlp at CRAN
Permanent link

Package bcmaps updated to version 1.0.0 with previous version 0.18.1 dated 2020-04-29

Title: Map Layers and Spatial Utilities for British Columbia
Description: Provides access to various spatial layers for B.C., such as administrative boundaries, natural resource management boundaries, etc. Most layers are imported from the 'bcdata' package as 'sf' or 'Spatial' objects through function calls in this package.
Author: Andy Teucher [aut, cre], Stephanie Hazlitt [aut], Sam Albers [aut], Province of British Columbia [cph]
Maintainer: Andy Teucher <andy.teucher@gov.bc.ca>

Diff between bcmaps versions 0.18.1 dated 2020-04-29 and 1.0.0 dated 2021-01-10

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More information about bcmaps at CRAN
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Package ARDL updated to version 0.1.1 with previous version 0.1.0 dated 2020-04-10

Title: ARDL, ECM and Bounds-Test for Cointegration
Description: Creates complex autoregressive distributed lag (ARDL) models providing just the order and automatically constructs the underlying unrestricted and restricted error correction model (ECM). It also performs the bounds-test for cointegration as described in Pesaran et al. (2001) <doi:10.1002/jae.616> and provides the multipliers and the cointegrating equation.
Author: Kleanthis Natsiopoulos [aut, cre] (<https://orcid.org/0000-0003-1180-2984>), Nickolaos Tzeremes [aut] (<https://orcid.org/0000-0002-6938-3404>)
Maintainer: Kleanthis Natsiopoulos <klnatsio@gmail.com>

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New package aptg with initial version 0.1.1
Package: aptg
Type: Package
Title: Automatic Phylogenetic Tree Generator
Version: 0.1.1
Author: Christophe Benjamin
Maintainer: Christophe Benjamin <christophe.benjamin@protonmail.com>
Description: Generates phylogenetic trees and distance matrices ('brranching', <https://CRAN.R-project.org/package=brranching>) from a list of species name or from a taxon down to whatever lower taxon ('taxize', <https://github.com/ropensci/taxize>). It can do so based on two reference super trees: mammals (Bininda-Emonds et al., 2007; <doi:10.1038/nature05634>) and angiosperms (Zanne et al., 2014; <doi:10.1038/nature12872>).
Depends: ape,brranching, phytools, taxize, xml2
Suggests: paco, vegan, knitr, rmarkdown, qpdf
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-07 14:54:10 UTC; Chris
Repository: CRAN
Date/Publication: 2021-01-10 15:20:19 UTC

More information about aptg at CRAN
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Package sparsestep updated to version 1.0.1 with previous version 1.0.0 dated 2017-01-27

Title: SparseStep Regression
Description: Implements the SparseStep model for solving regression problems with a sparsity constraint on the parameters. The SparseStep regression model was proposed in Van den Burg, Groenen, and Alfons (2017) <arXiv:1701.06967>. In the model, a regularization term is added to the regression problem which approximates the counting norm of the parameters. By iteratively improving the approximation a sparse solution to the regression problem can be obtained. In this package both the standard SparseStep algorithm is implemented as well as a path algorithm which uses golden section search to determine solutions with different values for the regularization parameter.
Author: Gertjan van den Burg [aut, cre], Patrick Groenen [ctb], Andreas Alfons [ctb]
Maintainer: Gertjan van den Burg <gertjanvandenburg@gmail.com>

Diff between sparsestep versions 1.0.0 dated 2017-01-27 and 1.0.1 dated 2021-01-10

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New package TukeyRegion with initial version 0.1.4
Package: TukeyRegion
Type: Package
Title: Tukey Region and Median
Version: 0.1.4
Date: 2021-01-09
Authors@R: c(person("C.B.", "Barber", role = c("aut", "cph"), comment = "Qhull library"), person("The Geometry Center", "University of Minnesota", role = c("cph"), comment = "Qhull library"), person("Pavlo", "Mozharovskyi", role = c("aut", "cre"), email = "pavlo.mozharovskyi@telecom-paris.fr"))
Description: Tukey regions are polytopes in the Euclidean space, viz. upper-level sets of the Tukey depth function on given data. The bordering hyperplanes of a Tukey region are computed as well as its vertices, facets, centroid, and volume. In addition, the Tukey median set, which is the non-empty Tukey region having highest depth level, and its barycenter (= Tukey median) are calculated. Tukey regions are visualized in dimension two and three. For details see Liu, Mosler, and Mozharovskyi (2019, <doi:10.1080/10618600.2018.1546595>). See file LICENSE.note for additional license information.
License: GPL (>= 3)
SystemRequirements: C++11
Depends: rgl,ddalpha,MASS,bfp,Rglpk
Imports: Rcpp (>= 0.11.0)
LinkingTo: Rcpp,BH
NeedsCompilation: yes
Packaged: 2021-01-09 11:22:34 UTC; pavlo.mozharovskyi
Author: C.B. Barber [aut, cph] (Qhull library), The Geometry Center University of Minnesota [cph] (Qhull library), Pavlo Mozharovskyi [aut, cre]
Maintainer: Pavlo Mozharovskyi <pavlo.mozharovskyi@telecom-paris.fr>
Repository: CRAN
Date/Publication: 2021-01-10 14:30:11 UTC

More information about TukeyRegion at CRAN
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New package simPH with initial version 1.3.13
Package: simPH
Title: Simulate and Plot Estimates from Cox Proportional Hazards Models
Description: Simulates and plots quantities of interest (relative hazards, first differences, and hazard ratios) for linear coefficients, multiplicative interactions, polynomials, penalised splines, and non-proportional hazards, as well as stratified survival curves from Cox Proportional Hazard models. It also simulates and plots marginal effects for multiplicative interactions. Methods described in Gandrud (2015) <doi:10.18637/jss.v065.i03>.
Version: 1.3.13
Date: 2021-01-09
Authors@R: c( person("Christopher", "Gandrud", email = "christopher.gandrud@gmail.com", role = c("aut", "cre")) )
URL: https://CRAN.R-project.org/package=simPH
BugReports: https://github.com/christophergandrud/simPH/issues
Depends: R (>= 3.0.2)
License: GPL-3
Imports: data.table (>= 1.9.6), dplyr (>= 0.4), ggplot2, gridExtra, lazyeval, MASS, mgcv, stringr, survival, quadprog
Suggests: knitr, stats, testthat, covr
VignetteBuilder: knitr
BuildVignettes: true
LazyData: true
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-09 06:48:22 UTC; cgandrud
Author: Christopher Gandrud [aut, cre]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>
Repository: CRAN
Date/Publication: 2021-01-10 14:50:05 UTC

More information about simPH at CRAN
Permanent link

Package ralger updated to version 2.2.1 with previous version 2.2.0 dated 2020-11-09

Title: Easy Web Scraping
Description: The goal of 'ralger' is to facilitate web scraping in R.
Author: Mohamed El Fodil Ihaddaden [aut, cre], Ezekiel Ogundepo [ctb], Romain François [ctb]
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>

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Package plotly updated to version 4.9.3 with previous version 4.9.2.2 dated 2020-12-19

Title: Create Interactive Web Graphics via 'plotly.js'
Description: Create interactive web graphics from 'ggplot2' graphs and/or a custom interface to the (MIT-licensed) JavaScript library 'plotly.js' inspired by the grammar of graphics.
Author: Carson Sievert [aut, cre] (<https://orcid.org/0000-0002-4958-2844>), Chris Parmer [aut], Toby Hocking [aut], Scott Chamberlain [aut], Karthik Ram [aut], Marianne Corvellec [aut] (<https://orcid.org/0000-0002-1994-3581>), Pedro Despouy [aut], Salim Brüggemann [ctb] (<https://orcid.org/0000-0002-5329-5987>), Plotly Technologies Inc. [cph]
Maintainer: Carson Sievert <cpsievert1@gmail.com>

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Package piecepackr updated to version 1.6.5 with previous version 1.6.2 dated 2020-12-17

Title: Board Game Graphics
Description: Functions to make board game graphics. By default makes game diagrams, animations, and "Print & Play" layouts for the 'piecepack' <https://www.ludism.org/ppwiki> but can be configured to make graphics for other board game systems.
Author: Trevor L Davis [aut, cre], Delapouite <https://delapouite.com/> [dtc] (Meeple shape extracted from "Meeple icon" <https://game-icons.net/1x1/delapouite/meeple.html> / "CC BY 3.0" <https://creativecommons.org/licenses/by/3.0/>)
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

Diff between piecepackr versions 1.6.2 dated 2020-12-17 and 1.6.5 dated 2021-01-10

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New package mortyr with initial version 0.0.2
Package: mortyr
Title: Wrapper to 'The Rick and Morty' API
Version: 0.0.2
Authors@R: person("Michael", "Page", email = "hello@mikejohnpage.com", role = c("aut", "cre"))
Description: Returns information about characters, locations, and episodes from 'The Rick and Morty' API: <https://rickandmortyapi.com>.
License: MIT + file LICENSE
URL: https://github.com/mikejohnpage/mortyr
BugReports: https://github.com/mikejohnpage/mortyr/issues
Encoding: UTF-8
LazyData: true
Imports: httr, jsonlite, tibble
Suggests: testthat
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-09 20:57:13 UTC; mike
Author: Michael Page [aut, cre]
Maintainer: Michael Page <hello@mikejohnpage.com>
Repository: CRAN
Date/Publication: 2021-01-10 14:30:08 UTC

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Package eye updated to version 1.0.1 with previous version 1.0.0 dated 2021-01-07

Title: Analysis of Eye Data
Description: There is no ophthalmic researcher who has not had headaches from the handling of visual acuity entries. Different notations, untidy entries. This shall now be a matter of the past. Eye makes it as easy as pie to work with VA data - easy cleaning, easy conversion between Snellen, logMAR, ETDRS letters, and qualitative visual acuity shall never pester you again. The eye package automates the pesky task to count number of patients and eyes, and can help to clean data with easy re-coding for right and left eyes. It also contains functions to help reshaping eye side specific variables between wide and long format. Visual acuity conversion is based on Schulze-Bonsel et al. (2006) <doi:10.1167/iovs.05-0981>, Gregori et al. (2010) <doi:10.1097/iae.0b013e3181d87e04>, Beck et al. (2003) <doi:10.1016/s0002-9394(02)01825-1> and Bach (2007) <http:michaelbach.de/sci/acuity.html>.
Author: Tjebo Heeren [aut, cre] (<https://orcid.org/0000-0001-5297-2301>), Antoine Fabri [ctb]
Maintainer: Tjebo Heeren <tjebo@gmx.de>

Diff between eye versions 1.0.0 dated 2021-01-07 and 1.0.1 dated 2021-01-10

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Package rater (with last version 1.0.0) was removed from CRAN

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

2020-09-15 1.0.0

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Package shiny.router (with last version 0.2.0) was removed from CRAN

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

2020-11-19 0.2.0
2018-09-18 0.1.1

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Package faux (with last version 0.0.1.5) was removed from CRAN

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

2020-09-22 0.0.1.5

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Package reinforcelearn (with last version 0.2.1) was removed from CRAN

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

2019-04-09 0.2.1

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Package popprxl (with last version 0.1.4) was removed from CRAN

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

2018-05-17 0.1.4
2016-12-05 0.1.3
2016-05-25 0.1.2
2015-11-24 0.1.1
2015-07-19 0.1

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Package fxtract (with last version 0.9.4) was removed from CRAN

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

2020-06-05 0.9.4
2020-05-17 0.9.3
2019-07-03 0.9.2
2019-02-12 0.9.1

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Package drugCombo (with last version 1.1.1) was removed from CRAN

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

2019-10-15 1.1.1
2019-06-18 1.1.0
2018-11-13 1.0.3
2018-06-15 1.0.2
2018-05-11 1.0.0

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Package usmap (with last version 0.5.1) was removed from CRAN

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

2020-10-07 0.5.1
2019-09-12 0.5.0
2018-09-16 0.4.0
2018-06-03 0.3.0
2017-08-15 0.2.1
2017-04-29 0.2.0
2017-01-29 0.1.0

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Package EcoGenetics (with last version 1.2.1-6) was removed from CRAN

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2020-05-24 1.2.1-6

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Package envalysis (with last version 0.4) was removed from CRAN

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

2020-04-17 0.4
2018-04-27 0.3.3

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Package SSLR updated to version 0.9.3.1 with previous version 0.9.3 dated 2020-10-14

Title: Semi-Supervised Classification, Regression and Clustering Methods
Description: Providing a collection of techniques for semi-supervised classification, regression and clustering. In semi-supervised problem, both labeled and unlabeled data are used to train a classifier. The package includes a collection of semi-supervised learning techniques: self-training, co-training, democratic, decision tree, random forest, 'S3VM' ... etc, with a fairly intuitive interface that is easy to use.
Author: Francisco Jesús Palomares Alabarce [aut, cre] (<https://orcid.org/0000-0002-0499-7034>), José Manuel Benítez [ctb] (<https://orcid.org/0000-0002-2346-0793>), Isaac Triguero [ctb] (<https://orcid.org/0000-0002-0150-0651>), Christoph Bergmeir [ctb] (<https://orcid.org/0000-0002-3665-9021>), Mabel González [ctb] (<https://orcid.org/0000-0003-0152-444X>)
Maintainer: Francisco Jesús Palomares Alabarce <fpalomares@correo.ugr.es>

Diff between SSLR versions 0.9.3 dated 2020-10-14 and 0.9.3.1 dated 2021-01-10

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Package sp updated to version 1.4-5 with previous version 1.4-4 dated 2020-10-07

Title: Classes and Methods for Spatial Data
Description: Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc.
Author: Edzer Pebesma [aut, cre], Roger Bivand [aut], Barry Rowlingson [ctb], Virgilio Gomez-Rubio [ctb], Robert Hijmans [ctb], Michael Sumner [ctb], Don MacQueen [ctb], Jim Lemon [ctb], Finn Lindgren [ctb], Josh O'Brien [ctb], Joseph O'Rourke [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between sp versions 1.4-4 dated 2020-10-07 and 1.4-5 dated 2021-01-10

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Package prettydoc updated to version 0.4.1 with previous version 0.4.0 dated 2020-08-10

Title: Creating Pretty Documents from R Markdown
Description: Creating tiny yet beautiful documents and vignettes from R Markdown. The package provides the 'html_pretty' output format as an alternative to the 'html_document' and 'html_vignette' engines that convert R Markdown into HTML pages. Various themes and syntax highlight styles are supported.
Author: Yixuan Qiu [aut, cre], Jason Long [ctb] (the Cayman, Tactile and Architect themes), Renyuan Zou [ctb] (the Leonids theme), Michael Rose [ctb] (the HPSTR theme), JJ Allaire [ctb] (pandoc template for rmarkdown), Hadley Wickham [ctb] (the html_vignette() function), Yihui Xie [ctb] (the html_vignette() function), Steve Matteson [ctb] (the Open Sans fonts), Emily Eisenberg [ctb] (the KaTeX library), Sophie Alpert [ctb] (the KaTeX library)
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

Diff between prettydoc versions 0.4.0 dated 2020-08-10 and 0.4.1 dated 2021-01-10

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Package GWpcor updated to version 0.1.6 with previous version 0.1.5 dated 2020-11-28

Title: Geographically Weighted Partial Correlation Coefficient
Description: Implements a geographically weighted partial correlation which is an extension from gwss() function in the 'GWmodel' package (Percival and Tsutsumida (2017) <doi:10.1553/giscience2017_01_s36>).
Author: Narumasa Tsutsumida [aut, cre] (<https://orcid.org/0000-0002-6333-0301>), Joseph Percival [aut]
Maintainer: Narumasa Tsutsumida <rsnaru.jp@gmail.com>

Diff between GWpcor versions 0.1.5 dated 2020-11-28 and 0.1.6 dated 2021-01-10

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Package AssocTests updated to version 1.0-1 with previous version 1.0-0 dated 2020-06-27

Title: Genetic Association Studies
Description: Some procedures including EIGENSTRAT (a procedure for detecting and correcting for population stratification through searching for the eigenvectors in genetic association studies), PCoC (a procedure for correcting for population stratification through calculating the principal coordinates and the clustering of the subjects), Tracy-Widom test (a procedure for detecting the significant eigenvalues of a matrix), distance regression (a procedure for detecting the association between a distance matrix and some independent variants of interest), single-marker test (a procedure for identifying the association between the genotype at a biallelic marker and a trait using the Wald test or the Fisher's exact test), MAX3 (a procedure for testing for the association between a single nucleotide polymorphism and a binary phenotype using the maximum value of the three test statistics derived for the recessive, additive, and dominant models), nonparametric trend test (a procedure for testing for the association between a genetic variant and a non-normal distributed quantitative trait based on the nonparametric risk), and nonparametric MAX3 (a procedure for testing for the association between a biallelic single nucleotide polymorphism and a quantitative trait using the maximum value of the three nonparametric trend tests derived for the recessive, additive, and dominant models), which are commonly used in genetic association studies. To cite this package in publications use: Lin Wang, Wei Zhang, and Qizhai Li. AssocTests: An R Package for Genetic Association Studies. Journal of Statistical Software. 2020; 94(5): 1-26.
Author: Lin Wang [aut], Wei Zhang [aut], Qizhai Li [aut], Weicheng Zhu [ctb]
Maintainer: Lin Wang <wanglin2009@amss.ac.cn>

Diff between AssocTests versions 1.0-0 dated 2020-06-27 and 1.0-1 dated 2021-01-10

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Package sysfonts updated to version 0.8.3 with previous version 0.8.2 dated 2020-11-16

Title: Loading Fonts into R
Description: Loading system fonts and Google Fonts <https://fonts.google.com/> into R, in order to support other packages such as 'R2SWF' and 'showtext'.
Author: Yixuan Qiu and authors/contributors of the included fonts. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

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Package lessR updated to version 3.9.9 with previous version 3.9.8 dated 2020-10-13

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. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, and generation and rendering of R markdown instructions for interpretative output.
Author: David Gerbing, The School of Business, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>

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Package threeBrain updated to version 0.1.9 with previous version 0.1.8 dated 2020-06-23

Title: 3D Brain Visualization
Description: In neuroscience, 'AFNI/SUMA' is a great tool to visualize 3D brain. However, it takes efforts to interact and share the viewer to others. In addition, 'AFNI/SUMA' doesn't support Windows platform. In the 'EEG/iEEG' field, it's hard to have multiple cortical electrodes mapped to a template brain for group analysis. Therefore this package is written aimed at providing a fast, stable, interactive and easy to share tool based on 'Three.js', a 'WebGL' engine to render 3D objects in the web browser such that we can display brain surfaces on webpage interactively. This package translates R objects to JavaScript objects via 'JSON' format, and provides 'R-Shiny' interface to manipulate geometries interactively. The visualizations can also serve as standalone widgets that can be easily shared across different platforms. Along with 'rave', another package developed by Beauchamp's lab at Baylor College Medicine, this package provides solutions to easily map surface electrodes from multiple subjects to one template 141 brain.
Author: Zhengjia Wang [aut, cre, cph], John Magnotti [aut], Brian Metzger [aut], Elizabeth Nesbitt [res], Michael Beauchamp [aut, dtc, fnd]
Maintainer: Zhengjia Wang <zhengjia.wang@rice.edu>

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Package showtext updated to version 0.9-2 with previous version 0.9-1 dated 2020-11-14

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 recosystem updated to version 0.4.4 with previous version 0.4.3 dated 2020-05-18

Title: Recommender System using Matrix Factorization
Description: R wrapper of the 'libmf' library <https://www.csie.ntu.edu.tw/~cjlin/libmf/> for recommender system using matrix factorization. It is typically used to approximate an incomplete matrix using the product of two matrices in a latent space. Other common names for this task include "collaborative filtering", "matrix completion", "matrix recovery", etc. High performance multi-core parallel computing is supported in this package.
Author: Yixuan Qiu, Chih-Jen Lin, Yu-Chin Juan, Wei-Sheng Chin, Yong Zhuang, Bo-Wen Yuan, Meng-Yuan Yang, and other contributors. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

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Package DirStats updated to version 0.1.7 with previous version 0.1.6 dated 2020-08-26

Title: Nonparametric Methods for Directional Data
Description: Nonparametric kernel density estimation, bandwidth selection, and other utilities for analyzing directional data. Implements the estimator in Bai, Rao and Zhao (1987) <doi:10.1016/0047-259X(88)90113-3>, the cross-validation bandwidth selectors in Hall, Watson and Cabrera (1987) <doi:10.1093/biomet/74.4.751> and the plug-in bandwidth selectors in García-Portugués (2013) <doi:10.1214/13-ejs821>.
Author: Eduardo García-Portugués [aut, cre] (<https://orcid.org/0000-0002-9224-4111>)
Maintainer: Eduardo García-Portugués <edgarcia@est-econ.uc3m.es>

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Package dipsaus updated to version 0.1.2 with previous version 0.1.1 dated 2020-10-09

Title: A Dipping Sauce for Data Analysis and Visualizations
Description: Works as an "add-on" to packages like 'shiny', 'future', as well as 'rlang', and provides utility functions. Just like dipping sauce adding flavors to potato chips or pita bread, 'dipsaus' for data analysis and visualizations adds handy functions and enhancements to popular packages. The goal is to provide simple solutions that are frequently asked for online, such as how to synchronize 'shiny' inputs without freezing the app, or how to get memory size on 'Linux' or 'MacOS' system. The enhancements roughly fall into these four categories: 1. 'shiny' input widgets; 2. high-performance computing using 'RcppParallel' and 'future' package; 3. modify R calls and convert among numbers, strings, and other objects. 4. utility functions to get system information such like CPU chip-set, memory limit, etc.
Author: Zhengjia Wang [aut, cre]
Maintainer: Zhengjia Wang <zhengjia.wang@rice.edu>

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Package adehabitatHR updated to version 0.4.19 with previous version 0.4.18 dated 2020-02-03

Title: Home Range Estimation
Description: A collection of tools for the estimation of animals home range.
Author: Clement Calenge, contributions from Scott Fortmann-Roe
Maintainer: Clement Calenge <clement.calenge@ofb.gouv.fr>

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