Thu, 13 Feb 2020

Package wyz.code.rdoc updated to version 1.1.15 with previous version 1.1.7 dated 2019-10-08

Title: Wizardry Code Offensive Programming R Documentation
Description: Allows to generate automatically R documentation files from offensive programming test cases. It populates most of the section of the documentation content from the offensive programming instrumentation. This reduces greatly the package producer effort and time to get to a fully documented manual page for any instrumented function. Following documentation sections are now automatically filled from instrumentation data: title, description, usage, arguments, value, author, examples. Sections references, notes and keyword are instrumented to industrialize their production. Produced manual pages are ready for completion (e.g note section if needed), language and phrasal adjustments. Main task for the package producer is now review, no more content production. Refer to chapter 11 of Offensive Programming Book, Fabien GELINEAU (2019, ISBN:979-10-699-4075-8), to learn about details and get value from this package.
Author: Fabien Gelineau <neonira@gmail.com>
Maintainer: Fabien Gelineau <neonira@gmail.com>

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More information about wyz.code.rdoc at CRAN
Permanent link

Package qmethod updated to version 1.5.5 with previous version 1.5.4 dated 2018-05-22

Title: Analysis of Subjective Perspectives Using Q Methodology
Description: Analysis of Q methodology, used to identify distinct perspectives existing within a group. This methodology is used across social, health and environmental sciences to understand diversity of attitudes, discourses, or decision-making styles (for more information, see <http://qmethod.org>). A single function runs the full analysis. Each step can be run separately using the corresponding functions: for automatic flagging of Q-sorts (manual flagging is optional), for statement scores, for distinguishing and consensus statements, and for general characteristics of the factors. Additional functions are available to import and export data, to print and plot, to import raw data from individual *.CSV files, and to make printable cards. The package also offers functions to print Q cards and to generate Q distributions for study administration. The package uses principal components and it allows manual or automatic flagging, a number of mathematical methods for rotation, and a number of correlation coefficients for the initial correlation matrix. See further details in the package documentation, and in the web pages below, which include a cookbook, guidelines for more advanced analysis (how to perform manual flagging or change the sign of factors), data management, and a beta graphical user interface for online and offline use.
Author: Aiora Zabala [aut, cre] (Main author, <https://orcid.org/0000-0001-8534-3325>), Maximilian Held [aut] (Author of additional data management functions)
Maintainer: Aiora Zabala <aiora.zabala@gmail.com>

Diff between qmethod versions 1.5.4 dated 2018-05-22 and 1.5.5 dated 2020-02-13

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Package Pareto updated to version 1.1.3 with previous version 1.1.0 dated 2019-12-17

Title: The Pareto and the Piecewise Pareto Distribution
Description: Utilities for the Pareto and piecewise Pareto distribution that are useful for reinsurance pricing. In particular, the package provides a non-trivial algorithm that can be used to match the expected losses of a tower of reinsurance layers with a layer-independent collective risk model. The theoretical background of the matching algorithm and most other methods are described in Ulrich Riegel (2018) <doi:10.1007/s13385-018-0177-3>.
Author: Ulrich Riegel [aut, cre]
Maintainer: Ulrich Riegel <ulrich.riegel@gmx.de>

Diff between Pareto versions 1.1.0 dated 2019-12-17 and 1.1.3 dated 2020-02-13

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Package kernelboot updated to version 0.1.7 with previous version 0.1.6 dated 2019-11-07

Title: Smoothed Bootstrap and Random Generation from Kernel Densities
Description: Smoothed bootstrap and functions for random generation from univariate and multivariate kernel densities. It does not estimate kernel densities.
Author: Tymoteusz Wolodzko
Maintainer: Tymoteusz Wolodzko <twolodzko+kernelboot@gmail.com>

Diff between kernelboot versions 0.1.6 dated 2019-11-07 and 0.1.7 dated 2020-02-13

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New package jmotif with initial version 1.1.1
Package: jmotif
Version: 1.1.1
Encoding: UTF-8
Title: Time Series Analysis Toolkit Based on Symbolic Aggregate Discretization, i.e. SAX
Description: Implements time series z-normalization, SAX, HOT-SAX, VSM, SAX-VSM, RePair, and RRA algorithms facilitating time series motif (i.e., recurrent pattern), discord (i.e., anomaly), and characteristic pattern discovery along with interpretable time series classification.
Authors@R: person("Pavel", "Senin", , "seninp@gmail.com", c("aut", "cre"))
URL: https://github.com/jMotif/jmotif-R
BugReports: https://github.com/jMotif/jmotif-R/issues
Depends: R (>= 3.1.0), Rcpp (>= 0.11.1)
Imports: stats
Suggests: testthat
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
SystemRequirements: C++11
License: GPL-2
RoxygenNote: 7.0.2
NeedsCompilation: yes
Packaged: 2020-02-13 20:43:15 UTC; psenin
Author: Pavel Senin [aut, cre]
Maintainer: Pavel Senin <seninp@gmail.com>
Repository: CRAN
Date/Publication: 2020-02-13 23:30:09 UTC

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Package ecmwfr updated to version 1.2.2 with previous version 1.2.1 dated 2019-04-23

Title: Interface to 'ECMWF' and 'CDS' Data Web Services
Description: Programmatic interface to the European Centre for Medium-Range Weather Forecasts dataset web services (ECMWF; <https://www.ecmwf.int/>) and Copernicus's Climate Data Store (CDS; <https://cds.climate.copernicus.eu>). Allows for easy downloads of weather forecasts and climate reanalysis data in R.
Author: Koen Hufkens [aut, cre] (<https://orcid.org/0000-0002-5070-8109>), Reto Stauffer [ctb] (<https://orcid.org/0000-0002-3798-5507>), Elio Campitelli [ctb] (<https://orcid.org/0000-0002-7742-9230>)
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>

Diff between ecmwfr versions 1.2.1 dated 2019-04-23 and 1.2.2 dated 2020-02-13

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Package wallace updated to version 1.0.6.2 with previous version 1.0.6 dated 2018-10-07

Title: A Modular Platform for Reproducible Modeling of Species Niches and Distributions
Description: The 'shiny' application 'wallace' is a modular platform for reproducible modeling of species niches and distributions. 'wallace' guides users through a complete analysis, from the acquisition of species occurrence and environmental data to visualizing model predictions on an interactive map, thus bundling complex workflows into a single, streamlined interface.
Author: Jamie M. Kass [aut], Gonzalo E. Pinilla-Buitrago [aut, cre], Bruno Vilela [aut], Matthew E. Aiello-Lammens [aut], Robert Muscarella [aut], Cory Merow [aut], Robert P. Anderson [aut]
Maintainer: Gonzalo E. Pinilla-Buitrago <gpinillabuitrago@gradcenter.cuny.edu>

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Package learnr updated to version 0.10.1 with previous version 0.10.0 dated 2019-11-09

Title: Interactive Tutorials for R
Description: Create interactive tutorials using R Markdown. Use a combination of narrative, figures, videos, exercises, and quizzes to create self-paced tutorials for learning about R and R packages.
Author: Barret Schloerke [aut, cre] (<https://orcid.org/0000-0001-9986-114X>), JJ Allaire [aut], Barbara Borges [aut], Angela Li [ctb] (vignette), RStudio [cph, fnd], Ajax.org B.V. [ctb, cph] (Ace library), Zeno Rocha [ctb, cph] (clipboard.js library), Nick Payne [ctb, cph] (Bootbox library), Jake Archibald [ctb, cph] (idb-keyval library)
Maintainer: Barret Schloerke <barret@rstudio.com>

Diff between learnr versions 0.10.0 dated 2019-11-09 and 0.10.1 dated 2020-02-13

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New package icensBKL with initial version 1.2
Package: icensBKL
Version: 1.2
Date: 2020-02-13
Title: Accompanion to the Book on Interval Censoring by Bogaerts, Komarek, and Lesaffre
Author: Arnošt Komárek <arnost.komarek@mff.cuni.cz>, Kris Bogaerts <kris.bogaerts@kuleuven.be>, Emmanuel Lesaffre <emmanuel.lesaffre@kuleuven.be>
Maintainer: Arnošt Komárek <arnost.komarek@mff.cuni.cz>
Depends: R (>= 3.0.0), survival, MASS, Icens
Imports: TeachingDemos, mvtnorm, smoothSurv, gtools
Suggests: interval, logspline, mixAK, bayesSurv, FHtest, glrt, icenReg, frailtypack, MIICD, MLEcens, cubature, runjags, coda, ICBayes, dynsurv
Description: Contains datasets and several smaller functions suitable for analysis of interval-censored data. The package complements the book Bogaerts, Komárek and Lesaffre (2017). "Survival Analysis with Interval-Censored Data: A Practical Approach." ISBN 978-1-4200-7747-6, published by Chapman and Hall/CRC. Full R code related to the examples presented in the book can be found at <https://ibiostat.be/online-resources/icbook/supplemental>. Packages mentioned in the "Suggests" section are used in those examples.
Encoding: UTF-8
License: GPL (>= 2)
URL: https://ibiostat.be/online-resources/icbook/supplemental
NeedsCompilation: no
Packaged: 2020-02-13 20:49:12 UTC; komarek
Repository: CRAN
Date/Publication: 2020-02-13 22:30:05 UTC

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Package ForestFit updated to version 0.5.7 with previous version 0.4.7 dated 2020-01-22

Title: Statistical Modelling for Plant Size Distributions
Description: Developed for the following tasks. I) Computing the probability density function, cumulative distribution function, random generation, and estimating the parameters of the eleven mixture models including mixture of Birnbaum-Saunders, BurrXII, Chen, F, Frechet, gamma, Gompertz, log-logistic, log-normal, Lomax, and Weibull. II) Point estimation of the parameters of two- and three-parameter Weibull distributions. In the case of two-parameter, twelve methods consist of generalized least square type 1, generalized least square type 2, L-moment, maximum likelihood, logarithmic moment, moment, percentile, rank correlation, least square, weighted maximum likelihood, U-statistic, weighted least square are used and investigated methods for the three-parameter case are: maximum likelihood, modified moment type 1, modified moment type 2, modified moment type 3, modified maximum likelihood type 1, modified maximum likelihood type 2, modified maximum likelihood type 3, modified maximum likelihood type 4, moment, maximum product spacing, T-L moment, and weighted maximum likelihood. III) The Bayesian estimators of the three-parameter Weibull distribution developed by Green et al. (1994) <doi:10.2307/2533217>. IV) Estimating parameters of the three-parameter Birnbaum-Saunders, generalized exponential, and Weibull distributions fitted to grouped data using three methods including approximated maximum likelihood, expectation maximization, and maximum likelihood. V) Estimating the parameters of the gamma, log-normal, and Weibull mixture models fitted to the grouped data through the EM algorithm, VI) Estimating parameters of the nonlinear height curve fitted to the height-diameter observation, and VII) estimating parameters, computing probability density function, cumulative distribution function, and generating realizations from gamma shape mixture model introduced by Venturini et al. (2008) <doi:10.1214/07-AOAS156>.
Author: Mahdi Teimouri
Maintainer: Mahdi Teimouri <teimouri@aut.ac.ir>

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Package barsurf updated to version 0.4.0 with previous version 0.3.1 dated 2019-05-23

Title: Heatmap-Related Plots and Smooth Multiband Color Interpolation
Description: Supports combined contour-heat plots and 3D bar/surface plots, for plotting scalar fields, either discretely-spaced or continuously-spaced. Also, supports matrix visualization (per se), isosurfaces (for scalar fields over three variables), triangular plots and vector fields. All plots use static vector graphics (suitable for Sweave documents), but high resolution heatmaps can produce smooth raster-like visual effects. Contains a flexible system for smooth multiband color interpolation in RGB, HSV and HCL color spaces.
Author: Abby Spurdle
Maintainer: Abby Spurdle <spurdle.a@gmail.com>

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Package spatial.tools updated to version 1.6.2 with previous version 1.6.0 dated 2018-04-22

Title: R Functions for Working with Spatial Data
Description: Spatial functions meant to enhance the core functionality of the package "raster", including a parallel processing engine for use with rasters.
Author: Jonathan Asher Greenberg
Maintainer: Jonathan Asher Greenberg <spatial-tools@estarcion.net>

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Package gdalUtils updated to version 2.0.3.2 with previous version 2.0.3 dated 2020-01-16

Title: Wrappers for the Geospatial Data Abstraction Library (GDAL) Utilities
Description: Wrappers for the Geospatial Data Abstraction Library (GDAL) Utilities.
Author: Jonathan Asher Greenberg and Matteo Mattiuzzi
Maintainer: Jonathan Asher Greenberg <gdalUtils@estarcion.net>

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Package imagefx updated to version 0.4.1 with previous version 0.3.0 dated 2019-11-12

Title: Extract Features from Images
Description: Synthesize images into characteristic features for time-series analysis or machine learning applications. The package was originally intended for monitoring volcanic eruptions in video data by highlighting and extracting regions above the vent associated with plume activity. However, the functions within are general and have wide applications for image processing, analyzing, filtering, and plotting.
Author: Alex J.C. Witsil
Maintainer: Alex J.C. Witsil <alexjcwitsil@gmail.com>

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Package ggnewscale updated to version 0.4.1 with previous version 0.4.0 dated 2019-10-06

Title: Multiple Fill and Colour Scales in 'ggplot2'
Description: Use multiple fill and colour scales in 'ggplot2'.
Author: Elio Campitelli [cre, aut] (<https://orcid.org/0000-0002-7742-9230>)
Maintainer: Elio Campitelli <elio.campitelli@cima.fcen.uba.ar>

Diff between ggnewscale versions 0.4.0 dated 2019-10-06 and 0.4.1 dated 2020-02-13

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More information about ggnewscale at CRAN
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Package gausscov updated to version 0.0.3 with previous version 0.0.2 dated 2019-09-11

Title: The Gaussian Covariate Method for Variable Selection
Description: Given the standard linear model the traditional way of deciding whether to include the jth covariate is to apply the F-test to decide whether the corresponding beta coefficient is zero. The Gaussian covariate method is completely different. The question as to whether the beta coefficient is or is not zero is replaced by the question as to whether the covariate is better or worse than i.i.d. Gaussian noise. The P-value for the covariate is the probability that Gaussian noise is better. Surprisingly this can be given exactly and it is the same a the P-value for the classical model based on the F-distribution. The Gaussian covariate P-value is model free, it is the same for any data set. Using the idea it is possible to do covariate selection for a small number of covariates 25 by considering all subsets. Post selection inference causes no problems as the P-values hold whatever the data. The idea extends to stepwise regression again with exact probabilities. In the simplest version the only parameter is a specified cut-off P-value which can be interpreted as the probability of a false positive being included in the final selection. For more information see the website below and the accompanying papers: L. Davies and L. Duembgen, "A Model-free Approach to Linear Least Squares Regression with Exact Probabilities and Applications to Covariate Selection", 2019, <arXiv:1906.01990>. L. Davies, "Lasso, Knockoff and Gaussian covariates: A comparison", 2018, <arXiv:1807.09633>.
Author: Laurie Davies [aut, cre]
Maintainer: Laurie Davies <laurie.davies@uni-due.de>

Diff between gausscov versions 0.0.2 dated 2019-09-11 and 0.0.3 dated 2020-02-13

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More information about gausscov at CRAN
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Package AMCP updated to version 1.0.0 with previous version 0.0.4 dated 2017-02-18

Title: A Model Comparison Perspective
Description: Accompanies "Designing experiments and analyzing data: A model comparison perspective" (3rd ed.) by Maxwell, Delaney, & Kelley (2018; Routledge). Contains all of the data sets in the book's chapters and end-of-chapter exercises. Information about the book is available at <http://www.DesigningExperiments.com>.
Author: Scott Maxwell [aut], Harold Delaney [aut], Ken Kelley [aut, cre]
Maintainer: Ken Kelley <kkelley@nd.edu>

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More information about AMCP at CRAN
Permanent link

Package tea (with last version 1.0) was removed from CRAN

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

2017-01-22 1.0

Permanent link
Package styler updated to version 1.3.1 with previous version 1.3.0 dated 2020-02-10

Title: Non-Invasive Pretty Printing of R Code
Description: Pretty-prints R code without changing the user's formatting intent.
Author: Kirill Müller [aut], Lorenz Walthert [cre, aut]
Maintainer: Lorenz Walthert <lorenz.walthert@icloud.com>

Diff between styler versions 1.3.0 dated 2020-02-10 and 1.3.1 dated 2020-02-13

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Package normalp updated to version 0.7.1 with previous version 0.7.0.1 dated 2018-08-31

Title: Routines for Exponential Power Distribution
Description: A collection of utilities referred to Exponential Power distribution, also known as General Error Distribution (see Mineo, A.M. and Ruggieri, M. (2005), A software Tool for the Exponential Power Distribution: The normalp package. In Journal of Statistical Software, Vol. 12, Issue 4).
Author: Angelo M. Mineo <angelo.mineo@unipa.it>
Maintainer: Angelo M. Mineo <angelo.mineo@unipa.it>

Diff between normalp versions 0.7.0.1 dated 2018-08-31 and 0.7.1 dated 2020-02-13

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Package mlt.docreg updated to version 1.0-5 with previous version 1.0-4 dated 2020-01-13

Title: Most Likely Transformations: Documentation and Regression Tests
Description: Additional documentation, a package vignette and regression tests for package mlt.
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mlt.docreg versions 1.0-4 dated 2020-01-13 and 1.0-5 dated 2020-02-13

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Package DataVisualizations updated to version 1.1.11 with previous version 1.1.10 dated 2020-02-02

Title: Visualizations of High-Dimensional Data
Description: Gives access to data visualisation methods that are relevant from the data scientist's point of view. The flagship idea of 'DataVisualizations' is the mirrored density plot (MD-plot) for either classified or non-classified multivariate data presented in Thrun et al. (2019) <arXiv:1908.06081>. The MD-plot outperforms the box-and-whisker diagram (box plot), violin plot and bean plot. Furthermore, a collection of various visualization methods for univariate data is provided. In the case of exploratory data analysis, 'DataVisualizations' makes it possible to inspect the distribution of each feature of a dataset visually through a combination of four methods. One of these methods is the Pareto density estimation (PDE) of the probability density function (pdf). Additionally, visualizations of the distribution of distances using PDE, the scatter-density plot using PDE for two variables as well as the Shepard density plot and the Bland-Altman plot are presented here. Pertaining to classified high-dimensional data, a number of visualizations are described, such as f.ex. the heat map and silhouette plot. A political map of the world or Germany can be visualized with the additional information defined by a classification of countries or regions. By extending the political map further, an uncomplicated function for a Choropleth map can be used which is useful for measurements across a geographic area. For categorical features, the Pie charts, slope charts and fan plots, improved by the ABC analysis, become usable. More detailed explanations are found in the book by Thrun, M.C.: "Projection-Based Clustering through Self-Organization and Swarm Intelligence" (2018) <doi:10.1007/978-3-658-20540-9>.
Author: Michael Thrun [aut, cre, cph] (<https://orcid.org/0000-0001-9542-5543>), Felix Pape [aut, rev], Onno Hansen-Goos [ctr, ctb], Dirk Eddelbuettel [ctr], Craig Varrichio [ctr], Alfred Ultsch [dtc, ctb]
Maintainer: Michael Thrun <m.thrun@gmx.net>

Diff between DataVisualizations versions 1.1.10 dated 2020-02-02 and 1.1.11 dated 2020-02-13

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Package rcrimeanalysis updated to version 0.3.1 with previous version 0.2.0 dated 2020-02-09

Title: An Implementation of Crime Analysis Methods
Description: An implementation of functions for the analysis of crime incident or records management system data. The package implements analysis algorithms scaled for city or regional crime analysis units. The package provides functions for kernel density estimation for crime heat maps, geocoding using the 'Google Maps' API, spatio-temporal map comparison across time intervals, time series analysis (forecasting and decomposition), and near repeat analysis (with crime network linkage).
Author: Jamie Spaulding and Keith Morris
Maintainer: Jamie Spaulding <jspauldi@mix.wvu.edu>

Diff between rcrimeanalysis versions 0.2.0 dated 2020-02-09 and 0.3.1 dated 2020-02-13

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Package NNS updated to version 0.4.9 with previous version 0.4.8 dated 2020-01-08

Title: Nonlinear Nonparametric Statistics
Description: Nonlinear nonparametric statistics using partial moments. Partial moments are the elements of variance and asymptotically approximate the area of f(x). These robust statistics provide the basis for nonlinear analysis while retaining linear equivalences. NNS offers: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization and Stochastic dominance. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>

Diff between NNS versions 0.4.8 dated 2020-01-08 and 0.4.9 dated 2020-02-13

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New package cghseg with initial version 1.0.5
Package: cghseg
Type: Package
Title: Segmentation Methods for Array CGH Analysis
Version: 1.0.5
Depends: methods, parallel
Date: 2020-02-06
Author: Franck Picard, Mark Hoebeke, Emilie Lebarbier, Vincent Miele, Guillem Rigaill, Stephane Robin
Maintainer: Samuel Blanck <samuel.blanck@univ-lille.fr>
Description: Dedicated to the analysis of CGH (Comparative Genomic Hybridization) array profiles using segmentation models. 'cghseg' package is intended to detect breakpoints from CGH profiles. It can handle both single and multiple profiles analysis, to perform segmentation, normalization and calling. Methods for joint segmentation are described in : Picard and al. (2011), <doi:10.1093/biostatistics/kxq076>.
License: GPL (>= 2)
NeedsCompilation: yes
RoxygenNote: 6.0.1
Packaged: 2020-02-13 08:52:07 UTC; sblanck
Repository: CRAN
Date/Publication: 2020-02-13 17:00:05 UTC

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Package text2speech updated to version 0.2.10 with previous version 0.2.9 dated 2020-01-13

Title: Text to Speech
Description: Unifies different text to speech engines, such as Google, Microsoft, and Amazon. Text synthesis can be done in any engine with a simple switch of an argument denoting the service requested. The 'aws.polly' package has been orphaned and can be found from the CRAN archives.
Author: John Muschelli [aut, cre] (<https://orcid.org/0000-0001-6469-1750>)
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between text2speech versions 0.2.9 dated 2020-01-13 and 0.2.10 dated 2020-02-13

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Package tensorregress updated to version 1.1 with previous version 1.0 dated 2019-11-04

Title: Generalized Tensor Regression with Covariates on Multiple Modes
Description: Implement the generalized tensor regression in Xu, Hu and Wang (2019) <arXiv:1910.09499>. Solve tensor-response regression given covariates on multiple modes with alternating updating algorithm.
Author: Zhuoyan Xu [aut, cre, cph], Jiaxin Hu [aut, cph], Miaoyan Wang [aut, cph]
Maintainer: Zhuoyan Xu <zxu444@stat.wisc.edu>

Diff between tensorregress versions 1.0 dated 2019-11-04 and 1.1 dated 2020-02-13

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Package paramGUI updated to version 2.1.4 with previous version 2.1.3 dated 2018-03-15

Title: A Shiny GUI for some Parameter Estimation Examples
Description: Allows specification and fitting of some parameter estimation examples inspired by time-resolved spectroscopy via a Shiny GUI.
Author: Joris Snellenburg [cre, aut], Katharine Mullen [aut], Ivo van Stokkum [aut]
Maintainer: Joris Snellenburg <j.snellenburg@vu.nl>

Diff between paramGUI versions 2.1.3 dated 2018-03-15 and 2.1.4 dated 2020-02-13

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Package moveVis updated to version 0.10.4-1 with previous version 0.10.4 dated 2020-02-07

Title: Movement Data Visualization
Description: Tools to visualize movement data (e.g. from GPS tracking) and temporal changes of environmental data (e.g. from remote sensing) by creating video animations.
Author: Jakob Schwalb-Willmann [aut, cre]
Maintainer: Jakob Schwalb-Willmann <movevis@schwalb-willmann.de>

Diff between moveVis versions 0.10.4 dated 2020-02-07 and 0.10.4-1 dated 2020-02-13

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New package flying with initial version 0.1.3
Package: flying
Type: Package
Title: Simulation of Bird Flight Range
Version: 0.1.3
Authors@R: c(person(family = "Masinde", given = "Brian", role = c("aut", "cre"), email= "masindeb@live.com"), person(family = "Bartoszek", given = "Krzysztof", role = c("ctb", "ths"), email= "krzbar@protonmail.ch"))
Description: Functions for range estimation in birds based on Pennycuick (2008) and Pennycuick (1975), 'Flight' program which compliments Pennycuick (2008) requires manual entry of birds which can be tedious when there are thousands of birds to estimate. Implemented are two ODE methods discussed in Pennycuick (1975) and time-marching computation method "constant muscle mass" as in Pennycuick (1998). See Pennycuick (1975, ISBN:978-0-12-249405-5), Pennycuick (1998) <doi:10.1006/jtbi.1997.0572>, and Pennycuick (2008, ISBN:9780080557816).
License: Apache License
Encoding: UTF-8
LazyData: true
Imports: utils, Rcpp (>= 1.0.2), knitr, kableExtra, rmarkdown
Suggests: testthat, covr
RoxygenNote: 7.0.0
Depends: R (>= 2.10)
VignetteBuilder: knitr
Collate: 'RcppExports.R' 'birds_documentation.R' 'constant_muscle_mass.R' 'constant_specific_power.R' 'constant_specific_work.R' 'control.R' 'method_2.R' 'method_1.R' 'input_match.R' 'lookup_table2.R' 'misc_functions.R' 'flight_simulation.R' 'flying.R' 'migrate.R' 'zzz.R'
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2020-02-13 07:58:14 UTC; masinde
Author: Brian Masinde [aut, cre], Krzysztof Bartoszek [ctb, ths]
Maintainer: Brian Masinde <masindeb@live.com>
Repository: CRAN
Date/Publication: 2020-02-13 15:50:08 UTC

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Package DynaRankR updated to version 1.1.0 with previous version 1.0.0 dated 2019-01-18

Title: Inferring Longitudinal Dominance Hierarchies
Description: Provides functions for inferring longitudinal dominance hierarchies, which describe dominance relationships and their dynamics in a single latent hierarchy over time. Strauss & Holekamp (in press).
Author: Eli D. Strauss
Maintainer: Eli D. Strauss <straussed@gmail.com>

Diff between DynaRankR versions 1.0.0 dated 2019-01-18 and 1.1.0 dated 2020-02-13

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New package cheddar with initial version 0.1-636
Package: cheddar
Type: Package
Title: Analysis and Visualisation of Ecological Communities
Version: 0.1-636
Date: 2020-02-12
Author: Lawrence Hudson with contributions from Dan Reuman and Rob Emerson
Maintainer: Lawrence Hudson <quicklizard@googlemail.com>
Description: Provides a flexible, extendable representation of an ecological community and a range of functions for analysis and visualisation, focusing on food web, body mass and numerical abundance data. Allows inter-web comparisons such as examining changes in community structure over environmental, temporal or spatial gradients.
License: BSD_2_clause + file LICENSE
LazyLoad: yes
URL: https://github.com/quicklizard99/cheddar/
NeedsCompilation: yes
Packaged: 2020-02-12 20:38:20 UTC; lawrence
Repository: CRAN
Date/Publication: 2020-02-13 15:30:02 UTC

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Package bioC.logs updated to version 1.1 with previous version 1.0 dated 2020-02-09

Title: BioConductor Package Downloads Stats
Description: Download stats reports from the BioConductor.org stats website.
Author: Marcelo Ponce [aut, cre]
Maintainer: Marcelo Ponce <mponce@scinet.utoronto.ca>

Diff between bioC.logs versions 1.0 dated 2020-02-09 and 1.1 dated 2020-02-13

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Package MazamaWebUtils (with last version 0.1.7) was removed from CRAN

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

2018-09-29 0.1.7
2017-12-06 0.1.5
2017-11-02 0.1.4

Permanent link
Package rJST updated to version 1.3 with previous version 1.1 dated 2019-12-09

Title: Joint Sentiment Topic Modelling
Description: Estimates the Joint Sentiment Topic model and its reversed variety, as described by Lin and He, 2009 <DOI:10.1145/1645953.1646003> and Lin, He, Everson and Ruger (2012) <DOI:10.1109/TKDE.2011.48>.
Author: Max Boiten [cre, aut], Chenghua Lin [cph], Yulan He [cph]
Maintainer: Max Boiten <max_boiten@live.nl>

Diff between rJST versions 1.1 dated 2019-12-09 and 1.3 dated 2020-02-13

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Package rbmn updated to version 0.9-3 with previous version 0.9-2 dated 2013-08-01

Title: Handling Linear Gaussian Bayesian Networks
Description: Creation, manipulation, simulation of linear Gaussian Bayesian networks from text files and more...
Author: Jean-Baptiste Denis [aut, cre], Marco Scutari [ctb]
Maintainer: Marco Scutari <marco.scutari@gmail.com>

Diff between rbmn versions 0.9-2 dated 2013-08-01 and 0.9-3 dated 2020-02-13

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Package networktools updated to version 1.2.2 with previous version 1.2.1 dated 2019-05-20

Title: Tools for Identifying Important Nodes in Networks
Description: Includes assorted tools for network analysis. Bridge centrality; goldbricker; MDS, PCA, & eigenmodel network plotting.
Author: Payton Jones [aut, cre]
Maintainer: Payton Jones <payton_jones@g.harvard.edu>

Diff between networktools versions 1.2.1 dated 2019-05-20 and 1.2.2 dated 2020-02-13

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Package ncvreg updated to version 3.11.2 with previous version 3.11-1 dated 2019-02-26

Title: Regularization Paths for SCAD and MCP Penalized Regression Models
Description: Fits regularization paths for linear regression, GLM, and Cox regression models using lasso or nonconvex penalties, in particular the minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) penalty, with options for additional L2 penalties (the "elastic net" idea). Utilities for carrying out cross-validation as well as post-fitting visualization, summarization, inference, and prediction are also provided.
Author: Patrick Breheny [aut, cre] (<https://orcid.org/0000-0002-0650-1119>)
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>

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Package hurricaneexposure updated to version 0.1.1 with previous version 0.1.0 dated 2019-04-01

Title: Explore and Map County-Level Hurricane Exposure in the United States
Description: Allows users to create time series of tropical storm exposure histories for chosen counties for a number of hazard metrics (wind, rain, distance from the storm, etc.). This package interacts with data available through the 'hurricaneexposuredata' package, which is available in a 'drat' repository. To access this data package, see the instructions at <https://github.com/geanders/hurricaneexposure>. The size of the 'hurricaneexposuredata' package is approximately 20 MB. This work was supported in part by grants from the National Institute of Environmental Health Sciences (R00ES022631), the National Science Foundation (1331399), and a NASA Applied Sciences Program/Public Health Program Grant (NNX09AV81G).
Author: Brooke Anderson [aut, cre], Meilin Yan [aut], Joshua Ferreri [aut], William Crosson [ctb], Mohammad Al-Hamdan [ctb], Andrea Schumacher [ctb], Dirk Eddelbuettel [ctb]
Maintainer: Brooke Anderson <brooke.anderson@colostate.edu>

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Package gtsummary updated to version 1.2.6 with previous version 1.2.5 dated 2020-02-11

Title: Presentation-Ready Data Summary and Analytic Result Tables
Description: Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include the reference rows for categorical variables. Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified and the tables are pre-filled with appropriate column headers. The package is enhanced when the 'gt' package is installed. Use this code to install: 'remotes::install_github("rstudio/gt", ref = gtsummary::gt_sha)'.
Author: Daniel D. Sjoberg [aut, cre] (<https://orcid.org/0000-0003-0862-2018>), Margie Hannum [aut] (<https://orcid.org/0000-0002-2953-0449>), Karissa Whiting [aut] (<https://orcid.org/0000-0002-4683-1868>), Emily C. Zabor [aut] (<https://orcid.org/0000-0002-1402-4498>), Michael Curry [ctb] (<https://orcid.org/0000-0002-0261-4044>), Esther Drill [ctb] (<https://orcid.org/0000-0002-3315-4538>), Jessica Flynn [ctb] (<https://orcid.org/0000-0001-8310-6684>), Stephanie Lobaugh [ctb]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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Package geodiv updated to version 0.1.1 with previous version 0.1.0 dated 2020-01-31

Title: Methods for Calculating Gradient Surface Metrics
Description: Methods for calculating gradient surface metrics for continuous analysis of landscape features.
Author: Annie C. Smith, Phoebe Zarnetske, Kyla Dahlin, Adam Wilson, Andrew Latimer
Maintainer: Annie C. Smith <annie.smith@dnr.wa.gov>

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Package eudract updated to version 0.9.1 with previous version 0.9.0 dated 2019-11-07

Title: Creates Safety Results Summary in XML to Upload to EudraCT
Description: The remit of the European Clinical Trials Data Base (EudraCT <https://eudract.ema.europa.eu/> ) is to provide open access to summaries of all registered clinical trial results; thus aiming to prevent non-reporting of negative results and provide open-access to results to inform future research. The amount of information required and the format of the results, however, imposes a large extra workload at the end of studies on clinical trial units. In particular, the adverse-event-reporting component requires entering: each unique combination of treatment group and safety event; for every such event above, a further 4 pieces of information (body system, number of occurrences, number of subjects, number exposed) for non-serious events, plus an extra three pieces of data for serious adverse events (numbers of causally related events, deaths, causally related deaths). This package prepares the required statistics needed by EudraCT and formats them into the precise requirements to directly upload an XML file into the web portal, with no further data entry by hand.
Author: Simon Bond [cre], Beatrice Pantaleo [aut]
Maintainer: Simon Bond <simon.bond@addenbrookes.nhs.uk>

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Package StratigrapheR updated to version 0.0.8 with previous version 0.0.7 dated 2019-12-05

Title: Integrated Stratigraphy
Description: Includes bases for litholog generation: graphical functions based on R base graphics, interval management functions and svg importation functions among others. Also include stereographic projection functions, and other functions made to deal with large datasets while keeping options to get into the details of the data. When using for publication please cite Wouters, S., Da Silva, A.C. Crucifix, M., Sinnesael, M., Zivanovic, M., Boulvain, F., Devleeschouwer, X., 2019, Litholog generation with the StratigrapheR package and signal decomposition for cyclostratigraphic purposes. Geophysical Research Abstracts Vol. 21, EGU2019-5520, 2019, EGU General Assembly 2019. <http://hdl.handle.net/2268/234402> The palaeomagnetism functions are based on: Tauxe, L., 2010. Essentials of Paleomagnetism. University of California Press. <https://earthref.org/MagIC/books/Tauxe/Essentials/>; Allmendinger, R. W., Cardozo, N. C., and Fisher, D., 2013, Structural Geology Algorithms: Vectors & Tensors: Cambridge, England, Cambridge University Press, 289 pp.; Cardozo, N., and Allmendinger, R. W., 2013, Spherical projections with OSXStereonet: Computers & Geosciences, v. 51, no. 0, p. 193 - 205, <doi: 10.1016/j.cageo.2012.07.021>.
Author: Sebastien Wouters [aut, cre], Adam D. Smith [ctb]
Maintainer: Sebastien Wouters <sebastien.wouters@doct.uliege.be>

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Package simfinR updated to version 0.2.0 with previous version 0.1.0 dated 2019-12-04

Title: Import Financial Data from the 'SimFin' Project
Description: Uses the 'SimFin' (SIMmplifying FINnance) api at <https://simfin.com/data/access/api> to download financial data straight into your R session. It includes financial statements -- balance sheet, cash flow and income statement -- and adjusted daily price of stocks. The available data is comprehensive, going back to 2005 and available for quarters (Q1, Q2, Q3, Q4) and years (FY).
Author: Marcelo S. Perlin
Maintainer: Marcelo S. Perlin <marceloperlin@gmail.com>

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Package glpkAPI updated to version 1.3.2 with previous version 1.3.1 dated 2018-09-14

Title: R Interface to C API of GLPK
Description: R Interface to C API of GLPK, depends on GLPK Version >= 4.42.
Author: Mayo Roettger [cre], Gabriel Gelius-Dietrich [aut], Louis Luangkesorn [ctb]
Maintainer: Mayo Roettger <mayo.roettger@hhu.de>

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Package clpAPI updated to version 1.2.13 with previous version 1.2.11 dated 2019-06-14

Title: R Interface to C API of COIN-or Clp
Description: R Interface to C API of COIN-OR Clp, depends on COIN-OR Clp Version >= 1.12.0.
Author: Mayo Roettger [cre], Gabriel Gelius-Dietrich [aut], C. Jonathan Fritzemeier [ctb]
Maintainer: Mayo Roettger <mayo.roettger@hhu.de>

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Package BatchGetSymbols updated to version 2.5.5 with previous version 2.5.4 dated 2019-10-12

Title: Downloads and Organizes Financial Data for Multiple Tickers
Description: Makes it easy to download a large number of trade data from Yahoo Finance <https://finance.yahoo.com/>.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

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Package robmed updated to version 0.6.0 with previous version 0.5.0 dated 2019-10-22

Title: (Robust) Mediation Analysis
Description: Perform mediation analysis via a (fast and robust) bootstrap test.
Author: Andreas Alfons [aut, cre]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>

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 robmed-0.6.0/robmed/NEWS                                                                       |   39 
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 robmed-0.6.0/robmed/R/control.R                                                                |   16 
 robmed-0.6.0/robmed/R/cov_Huber.R                                                              |    6 
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 robmed-0.6.0/robmed/R/print.R                                                                  |   17 
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 robmed-0.6.0/robmed/R/weights.R                                                                |    2 
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 robmed-0.6.0/robmed/demo/descriptives.R                                                        |    2 
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 robmed-0.6.0/robmed/man/cov_ML.Rd                                                              |    2 
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Package DTDA.cif updated to version 1.0.2 with previous version 1.0.1 dated 2019-10-18

Title: Doubly Truncated Data Analysis, Cumulative Incidence Functions
Description: Nonparametric estimator of the cumulative incidences of competing risks under double truncation. The estimator generalizes the Efron-Petrosian NPMLE (Non-Parametric Maximun Likelihood Estimator) to the competing risks setting. Efron, B. and Petrosian, V. (1999) <doi:10.2307/2669997>.
Author: Jacobo de Uña Álvarez [aut], José Carlos Soage González [cre]
Maintainer: José Carlos Soage González <jsoage@uvigo.es>

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Package scalpel updated to version 1.0.2 with previous version 1.0.1 dated 2018-09-28

Title: Processes Calcium Imaging Data
Description: Identifies the locations of neurons, and estimates their calcium concentrations over time using the SCALPEL method proposed in Petersen, Ashley; Simon, Noah; Witten, Daniela. SCALPEL: Extracting neurons from calcium imaging data. Ann. Appl. Stat. 12 (2018), no. 4, 2430--2456. doi:10.1214/18-AOAS1159. <https://projecteuclid.org/euclid.aoas/1542078051>.
Author: Ashley Petersen
Maintainer: Ashley Petersen <ashleyjpete@gmail.com>

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Package ps updated to version 1.3.2 with previous version 1.3.1 dated 2020-02-12

Title: List, Query, Manipulate System Processes
Description: List, query and manipulate all system processes, on 'Windows', 'Linux' and 'macOS'.
Author: Jay Loden [aut], Dave Daeschler [aut], Giampaolo Rodola' [aut], Gábor Csárdi [aut, cre], RStudio [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package lcc updated to version 1.0.4 with previous version 1.0.3 dated 2019-11-25

Title: Longitudinal Concordance Correlation
Description: Estimates the longitudinal concordance correlation to access the longitudinal agreement profile. The estimation approach implemented is variance components approach based on polynomial mixed effects regression model, as proposed by Oliveira, Hinde and Zocchi (2018) <doi:10.1007/s13253-018-0321-1>. In addition, non-parametric confidence intervals were implemented using percentile method or normal-approximation based on Fisher Z-transformation.
Author: Thiago de Paula Oliveira [aut, cre], Rafael de Andrade Moral [aut], Silvio Sandoval Zocchi [ctb], Clarice Garcia Borges Demetrio [ctb], John Hinde [aut]
Maintainer: Thiago de Paula Oliveira <thiago.paula.oliveira@usp.br>

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Package ade4 updated to version 1.7-15 with previous version 1.7-13 dated 2018-08-31

Title: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences
Description: Tools for multivariate data analysis. Several methods are provided for the analysis (i.e., ordination) of one-table (e.g., principal component analysis, correspondence analysis), two-table (e.g., coinertia analysis, redundancy analysis), three-table (e.g., RLQ analysis) and K-table (e.g., STATIS, multiple coinertia analysis). The philosophy of the package is described in Dray and Dufour (2007) <doi:10.18637/jss.v022.i04>.
Author: Stéphane Dray <stephane.dray@univ-lyon1.fr>, Anne-Béatrice Dufour <anne-beatrice.dufour@univ-lyon1.fr>, and Jean Thioulouse <jean.thioulouse@univ-lyon1.fr>, with contributions from Thibaut Jombart, Sandrine Pavoine, Jean R. Lobry, Sébastien Ollier, Daniel Borcard, Pierre Legendre, Stéphanie Bougeard and Aurélie Siberchicot. Based on earlier work by Daniel Chessel.
Maintainer: Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package SSDM updated to version 0.2.7 with previous version 0.2.6 dated 2019-06-14

Title: Stacked Species Distribution Modelling
Description: Allows to map species richness and endemism based on stacked species distribution models (SSDM). Individuals SDMs can be created using a single or multiple algorithms (ensemble SDMs). For each species, an SDM can yield a habitat suitability map, a binary map, a between-algorithm variance map, and can assess variable importance, algorithm accuracy, and between- algorithm correlation. Methods to stack individual SDMs include summing individual probabilities and thresholding then summing. Thresholding can be based on a specific evaluation metric or by drawing repeatedly from a Bernoulli distribution. The SSDM package also provides a user-friendly interface.
Author: Sylvain Schmitt, Robin Pouteau, Dimitri Justeau, Florian de Boissieu, Lukas Baumbach, Philippe Birnbaum
Maintainer: Sylvain Schmitt <sylvain.m.schmitt@gmail.com>

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Package ecespa updated to version 1.1-11 with previous version 1.1-10 dated 2018-02-06

Title: Functions for Spatial Point Pattern Analysis
Description: Some wrappers, functions and data sets for for spatial point pattern analysis (mainly based on 'spatstat'), used in the book "Introduccion al Analisis Espacial de Datos en Ecologia y Ciencias Ambientales: Metodos y Aplicaciones" and in the papers by De la Cruz et al. (2008) <doi:10.1111/j.0906-7590.2008.05299.x> and Olano et al. (2009) <doi:10.1051/forest:2008074>.
Author: Marcelino de la Cruz Rot, with contributions of Philip M. Dixon and Jose M. Blanco-Moreno
Maintainer: Marcelino de la Cruz Rot <marcelino.delacruz@urjc.es>

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Package ev.trawl (with last version 0.1.0) was removed from CRAN

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

2018-12-03 0.1.0

Permanent link
New package shinyKnobs with initial version 0.1.3
Package: shinyKnobs
Title: A Collection of Knob Inputs for 'shiny'
Version: 0.1.3
Authors@R: c( person("Patrice", "Cote", role = c("aut", "cre"), email = "pat@patricecote.com"), person("Chris", "Johnson", role = c("aut", "cph"), comment = "precision-inputs") )
Description: A collection of highly configurable, touch-enabled knob input controls for 'shiny'. These components can be styled to fit in perfectly in any app, and allow users to set precise values through many input modalities. Users can touch-and-drag, click-and-drag, scroll their mouse wheel, double click, or use keyboard input.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.1
Imports: shiny, htmltools
URL: https://github.com/cotepat/shinyKnobs
BugReports: https://github.com/cotepat/shinyKnobs/issues
NeedsCompilation: no
Packaged: 2020-01-07 13:36:40 UTC; patricecote
Author: Patrice Cote [aut, cre], Chris Johnson [aut, cph] (precision-inputs)
Maintainer: Patrice Cote <pat@patricecote.com>
Repository: CRAN
Date/Publication: 2020-02-13 09:30:03 UTC

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Package picante updated to version 1.8.1 with previous version 1.8 dated 2019-03-21

Title: Integrating Phylogenies and Ecology
Description: Functions for phylocom integration, community analyses, null-models, traits and evolution. Implements numerous ecophylogenetic approaches including measures of community phylogenetic and trait diversity, phylogenetic signal, estimation of trait values for unobserved taxa, null models for community and phylogeny randomizations, and utility functions for data input/output and phylogeny plotting. A full description of package functionality and methods are provided by Kembel et al. (2010) <doi:10.1093/bioinformatics/btq166>.
Author: Steven W. Kembel <steve.kembel@gmail.com>, David D. Ackerly <dackerly@berkeley.edu>, Simon P. Blomberg <s.blomberg1@uq.edu.au>, Will K. Cornwell <cornwell@zoology.ubc.ca>, Peter D. Cowan <pdc@berkeley.edu>, Matthew R. Helmus <mrhelmus@wisc.edu>, Helene Morlon <morlon.helene@gmail.com>, Campbell O. Webb <cwebb@oeb.harvard.edu>
Maintainer: Steven W. Kembel <steve.kembel@gmail.com>

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Package geojsonio updated to version 0.9.0 with previous version 0.8.0 dated 2019-10-29

Title: Convert Data from and to 'GeoJSON' or 'TopoJSON'
Description: Convert data to 'GeoJSON' or 'TopoJSON' from various R classes, including vectors, lists, data frames, shape files, and spatial classes. 'geojsonio' does not aim to replace packages like 'sp', 'rgdal', 'rgeos', but rather aims to be a high level client to simplify conversions of data from and to 'GeoJSON' and 'TopoJSON'.
Author: Scott Chamberlain [aut, cre], Andy Teucher [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package EpiDynamics updated to version 0.3.1 with previous version 0.3.0 dated 2015-12-03

Title: Dynamic Models in Epidemiology
Description: Mathematical models of infectious diseases in humans and animals. Both, deterministic and stochastic models can be simulated and plotted.
Author: Oswaldo Santos Baquero [aut, cre], Fernando Silveira Marques [aut]
Maintainer: Oswaldo Santos Baquero <baquero@usp.br>

Diff between EpiDynamics versions 0.3.0 dated 2015-12-03 and 0.3.1 dated 2020-02-13

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Package Buddle updated to version 2.0.1 with previous version 2.0 dated 2020-02-06

Title: A Deep Learning for Statistical Classification and Regression Analysis with Random Effects
Description: Statistical classification and regression have been popular among various fields and stayed in the limelight of scientists of those fields. Examples of the fields include clinical trials where the statistical classification of patients is indispensable to predict the clinical courses of diseases. Considering the negative impact of diseases on performing daily tasks, correctly classifying patients based on the clinical information is vital in that we need to identify patients of the high-risk group to develop a severe state and arrange medical treatment for them at an opportune moment. Deep learning - a part of artificial intelligence - has gained much attention, and research on it burgeons during past decades: see, e.g, Kazemi and Mirroshandel (2018) <DOI:10.1016/j.artmed.2017.12.001>. It is a veritable technique which was originally designed for the classification, and hence, the Buddle package can provide sublime solutions to various challenging classification and regression problems encountered in the clinical trials. The Buddle package is based on the back-propagation algorithm - together with various powerful techniques such as batch normalization and dropout - which performs a multi-layer feed-forward neural network: see Krizhevsky et. al (2017) <DOI:10.1145/3065386>, Schmidhuber (2015) <DOI:10.1016/j.neunet.2014.09.003> and LeCun et al. (1998) <DOI:10.1109/5.726791> for more details. This package contains two main functions: TrainBuddle() and FetchBuddle(). TrainBuddle() builds a feed-forward neural network model and trains the model. FetchBuddle() recalls the trained model which is the output of TrainBuddle(), classifies or regresses given data, and make a final prediction for the data.
Author: Jiwoong Kim <jwboys26 at gmail.com>
Maintainer: Jiwoong Kim <jwboys26@gmail.com>

Diff between Buddle versions 2.0 dated 2020-02-06 and 2.0.1 dated 2020-02-13

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Package bssn updated to version 1.0 with previous version 0.7 dated 2016-03-17

Title: Birnbaum-Saunders Model
Description: It provides the density, distribution function, quantile function, random number generator, reliability function, failure rate, likelihood function, moments and EM algorithm for Maximum Likelihood estimators, also empirical quantile and generated envelope for a given sample, all this for the three parameter Birnbaum-Saunders model based on Skew-Normal Distribution. Also, it provides the random number generator for the mixture of Birnbaum-Saunders model based on Skew-Normal distribution. Additionally, we incorporate the EM algorithm based on the assumption that the error term follows a finite mixture of Sinh-normal distributions.
Author: Luis Benites Sanchez[cre, aut] <lbenitess@pucp.edu.pe>, Rocio Paola Maehara[cre, aut] <rp.maeharaa@up.edu.pe> and Paulo Jos<c3><a9> Alejandro Aybar Flores[ctb] <a.aybarf@alum.up.edu.pe>
Maintainer: Rocio Paola Maehara <rp.maeharaa@up.edu.pe>

Diff between bssn versions 0.7 dated 2016-03-17 and 1.0 dated 2020-02-13

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Package eva (with last version 0.2.5) was removed from CRAN

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

2018-10-18 0.2.5
2016-09-20 0.2.4
2016-05-30 0.2.3
2016-05-02 0.2.2
2016-04-05 0.2.1
2016-02-21 0.1.3
2015-12-31 0.1.2
2015-12-29 0.1.1

Permanent link
Package arrow (with last version 0.16.0.1) was removed from CRAN

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

2020-02-10 0.16.0.1

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Package rstatix updated to version 0.4.0 with previous version 0.3.1 dated 2019-12-16

Title: Pipe-Friendly Framework for Basic Statistical Tests
Description: Provides a simple and intuitive pipe-friendly framework, coherent with the 'tidyverse' design philosophy, for performing basic statistical tests, including t-test, Wilcoxon test, ANOVA, Kruskal-Wallis and correlation analyses. The output of each test is automatically transformed into a tidy data frame to facilitate visualization. Additional functions are available for reshaping, reordering, manipulating and visualizing correlation matrix. Functions are also included to facilitate the analysis of factorial experiments, including purely 'within-Ss' designs (repeated measures), purely 'between-Ss' designs, and mixed 'within-and-between-Ss' designs. It's also possible to compute several effect size metrics, including "eta squared" for ANOVA, "Cohen's d" for t-test and 'Cramer V' for the association between categorical variables. The package contains helper functions for identifying univariate and multivariate outliers, assessing normality and homogeneity of variances.
Author: Alboukadel Kassambara [aut, cre]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

Diff between rstatix versions 0.3.1 dated 2019-12-16 and 0.4.0 dated 2020-02-13

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Package MCMCpack updated to version 1.4-6 with previous version 1.4-5 dated 2019-12-01

Title: Markov Chain Monte Carlo (MCMC) Package
Description: Contains functions to perform Bayesian inference using posterior simulation for a number of statistical models. Most simulation is done in compiled C++ written in the Scythe Statistical Library Version 1.0.3. All models return 'coda' mcmc objects that can then be summarized using the 'coda' package. Some useful utility functions such as density functions, pseudo-random number generators for statistical distributions, a general purpose Metropolis sampling algorithm, and tools for visualization are provided.
Author: Andrew D. Martin [aut], Kevin M. Quinn [aut], Jong Hee Park [aut,cre], Ghislain Vieilledent [ctb], Michael Malecki[ctb], Matthew Blackwell [ctb], Keith Poole [ctb], Craig Reed [ctb], Ben Goodrich [ctb], Ross Ihaka [cph], The R Development Core Team [cph], The R Foundation [cph], Pierre L'Ecuyer [cph], Makoto Matsumoto [cph], Takuji Nishimura [cph]
Maintainer: Jong Hee Park <jongheepark@snu.ac.kr>

Diff between MCMCpack versions 1.4-5 dated 2019-12-01 and 1.4-6 dated 2020-02-13

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Package ggpubr updated to version 0.2.5 with previous version 0.2.4 dated 2019-11-14

Title: 'ggplot2' Based Publication Ready Plots
Description: The 'ggplot2' package is excellent and flexible for elegant data visualization in R. However the default generated plots requires some formatting before we can send them for publication. Furthermore, to customize a 'ggplot', the syntax is opaque and this raises the level of difficulty for researchers with no advanced R programming skills. 'ggpubr' provides some easy-to-use functions for creating and customizing 'ggplot2'- based publication ready plots.
Author: Alboukadel Kassambara [aut, cre]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

Diff between ggpubr versions 0.2.4 dated 2019-11-14 and 0.2.5 dated 2020-02-13

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Package eiPack updated to version 0.2-1 with previous version 0.1-9 dated 2019-03-13

Title: Ecological Inference and Higher-Dimension Data Management
Description: Provides methods for analyzing R by C ecological contingency tables using the extreme case analysis, ecological regression, and Multinomial-Dirichlet ecological inference models. Also provides tools for manipulating higher-dimension data objects.
Author: Olivia Lau <olivia.lau@post.harvard.edu>, Ryan T. Moore <rtm@american.edu>, Michael Kellermann <mrkellermann@gmail.com>
Maintainer: Michael Kellermann <mrkellermann@gmail.com>

Diff between eiPack versions 0.1-9 dated 2019-03-13 and 0.2-1 dated 2020-02-13

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Package treenomial updated to version 1.1.2 with previous version 1.0.1 dated 2019-12-06

Title: Comparison of Trees using a Tree Defining Polynomial
Description: Provides functionality for creation and comparison of polynomials that uniquely describe trees as introduced in Liu (2019, <arXiv:1904.03332>). The core method converts rooted unlabeled phylo objects from 'ape' to the tree defining polynomials described with coefficient matrices. Additionally, a conversion for rooted binary trees with binary trait labels is also provided. Once the polynomials of trees are calculated there are functions to calculate distances, distance matrices and plot different distance trees from a target tree. Manipulation and conversion to the tree defining polynomials is implemented in C++ with 'Rcpp' and 'RcppArmadillo'. Furthermore, parallel programming with 'RcppThread' is used to improve performance converting to polynomials and calculating distances.
Author: Matthew Gould [aut, cre], Pengyu Liu [ctb], Caroline Colijn [ctb]
Maintainer: Matthew Gould <mgould@sfu.ca>

Diff between treenomial versions 1.0.1 dated 2019-12-06 and 1.1.2 dated 2020-02-13

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Package SiZer updated to version 0.1-7 with previous version 0.1-5 dated 2018-05-29

Title: Significant Zero Crossings
Description: Calculates and plots the SiZer map for scatterplot data. A SiZer map is a way of examining when the p-th derivative of a scatterplot-smoother is significantly negative, possibly zero or significantly positive across a range of smoothing bandwidths.
Author: Derek Sonderegger [aut, cre]
Maintainer: Derek Sonderegger <derek.sonderegger@gmail.com>

Diff between SiZer versions 0.1-5 dated 2018-05-29 and 0.1-7 dated 2020-02-13

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Package rgbif updated to version 2.1.0 with previous version 2.0.0 dated 2020-01-31

Title: Interface to the Global 'Biodiversity' Information Facility API
Description: A programmatic interface to the Web Service methods provided by the Global Biodiversity Information Facility ('GBIF'; <https://www.gbif.org/developer/summary>). 'GBIF' is a database of species occurrence records from sources all over the globe. 'rgbif' includes functions for searching for taxonomic names, retrieving information on data providers, getting species occurrence records, getting counts of occurrence records, and using the 'GBIF' tile map service to make 'rasters' summarizing huge amounts of data.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Damiano Oldoni [aut] (<https://orcid.org/0000-0003-3445-7562>), Vijay Barve [ctb] (<https://orcid.org/0000-0002-4852-2567>), Peter Desmet [ctb] (<https://orcid.org/0000-0002-8442-8025>), Laurens Geffert [ctb], Dan Mcglinn [ctb] (<https://orcid.org/0000-0003-2359-3526>), Karthik Ram [ctb] (<https://orcid.org/0000-0002-0233-1757>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between rgbif versions 2.0.0 dated 2020-01-31 and 2.1.0 dated 2020-02-13

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 rgbif-2.1.0/rgbif/DESCRIPTION                                              |    6 
 rgbif-2.1.0/rgbif/MD5                                                      |  262 +++----
 rgbif-2.1.0/rgbif/NEWS.md                                                  |   16 
 rgbif-2.1.0/rgbif/R/download_predicate_dsl.R                               |   94 +-
 rgbif-2.1.0/rgbif/R/download_queue.R                                       |    7 
 rgbif-2.1.0/rgbif/R/elevation.r                                            |    8 
 rgbif-2.1.0/rgbif/R/installations.r                                        |    2 
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 rgbif-2.1.0/rgbif/R/occ_data.R                                             |    4 
 rgbif-2.1.0/rgbif/R/occ_download.R                                         |    2 
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 rgbif-2.1.0/rgbif/R/organizations.r                                        |    2 
 rgbif-2.1.0/rgbif/R/rgbif-package.r                                        |   16 
 rgbif-2.1.0/rgbif/R/zzz.r                                                  |   24 
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 rgbif-2.1.0/rgbif/inst/doc/issues.html                                     |    4 
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More information about rgbif at CRAN
Permanent link

Package pooling updated to version 1.1.2 with previous version 1.1.1 dated 2018-04-26

Title: Fit Poolwise Regression Models
Description: Functions for calculating power and fitting regression models in studies where a biomarker is measured in "pooled" samples rather than for each individual. Approaches for handling measurement error follow the framework of Schisterman et al. (2010) <doi:10.1002/sim.3823>.
Author: Dane R. Van Domelen
Maintainer: Dane R. Van Domelen <vandomed@gmail.com>

Diff between pooling versions 1.1.1 dated 2018-04-26 and 1.1.2 dated 2020-02-13

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More information about pooling at CRAN
Permanent link

Package MigClim updated to version 1.6.2 with previous version 1.6.1 dated 2020-01-18

Title: Implementing Dispersal into Species Distribution Models
Description: Functions for implementing species dispersal into projections of species distribution models (e.g. under climate change scenarios).
Author: Robin Engler <robin.engler@gmail.com> and Wim Hordijk <wim@WorldWideWanderings.net> and Loic Pellissier <loic.pellissier@unil.ch>
Maintainer: ORPHANED

Diff between MigClim versions 1.6.1 dated 2020-01-18 and 1.6.2 dated 2020-02-13

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 MigClim-1.6.2/MigClim/src/genclust.c         |    2 +-
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 MigClim-1.6.2/MigClim/src/validate.c         |    4 ++--
 8 files changed, 15 insertions(+), 18 deletions(-)

More information about MigClim at CRAN
Permanent link

Package geojsonlint updated to version 0.4.0 with previous version 0.3.0 dated 2019-02-08

Title: Tools for Validating 'GeoJSON'
Description: Tools for linting 'GeoJSON'. Includes tools for interacting with the online tool <http://geojsonlint.com>, the 'Javascript' library 'geojsonhint' (<https://www.npmjs.com/package/geojsonhint>), and validating against a 'GeoJSON' schema via the 'Javascript' library (<https://www.npmjs.com/package/is-my-json-valid>). Some tools work locally while others require an internet connection.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Andy Teucher [aut], Tom MacWright [cph] (geojsonhint Javascript library), Mads Kristensen [cph] (geojson schema)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between geojsonlint versions 0.3.0 dated 2019-02-08 and 0.4.0 dated 2020-02-13

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Package AsyK updated to version 1.5.4 with previous version 1.5.3 dated 2020-01-21

Title: Kernel Density Estimation and Selection of Optimum Bandwidth
Description: A collection of functions related to density estimation by using Chen's (2000) idea. Mean Squared Errors (MSE) are calculated for estimated curves. For this purpose, R functions allow the distribution to be Gamma, Exponential or Weibull. For details see Chen (2000), Scaillet (2004) <doi:10.1080/10485250310001624819> and Khan and Akbar.
Author: Javaria Ahmad Khan, Atif Akbar.
Maintainer: Javaria Ahmad Khan <jakhan0@yahoo.com>

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Package ghibli updated to version 0.3.1 with previous version 0.3.0 dated 2019-09-02

Title: Studio Ghibli Colour Palettes
Description: Colour palettes inspired by Studio Ghibli <https://en.wikipedia.org/wiki/Studio_Ghibli> films, ported to R for your enjoyment.
Author: Ewen Henderson [aut, cre] (<https://orcid.org/0000-0002-4748-4693>), Danielle Desrosiers [ctb], Michael Chirico [ctb]
Maintainer: Ewen Henderson <ewenhenderson@gmail.com>

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Package ggdag updated to version 0.2.2 with previous version 0.2.1 dated 2019-12-06

Title: Analyze and Create Elegant Directed Acyclic Graphs
Description: Tidy, analyze, and plot directed acyclic graphs (DAGs). 'ggdag' is built on top of 'dagitty', an R package that uses the 'DAGitty' web tool (<http://dagitty.net>) for creating and analyzing DAGs. 'ggdag' makes it easy to tidy and plot 'dagitty' objects using 'ggplot2' and 'ggraph', as well as common analytic and graphical functions, such as determining adjustment sets and node relationships.
Author: Malcolm Barrett [aut, cre] (<https://orcid.org/0000-0003-0299-5825>)
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>

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