Thu, 03 Dec 2020

Package vote updated to version 2.0-1 with previous version 1.2-1 dated 2020-02-03

Title: Election Vote Counting
Description: Counting election votes and determining election results by different methods, including the single transferable vote or ranked choice (Newland and F.S. Britton, 1997; ISBN: 0903291185), approval, score, plurality, condorcet and two-round runoff methods.
Author: Hana Sevcikova, Bernard Silverman, Adrian Raftery
Maintainer: Hana Sevcikova<hanas@uw.edu>

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Package tidyUSDA updated to version 0.3.0 with previous version 0.2.9 dated 2020-07-24

Title: A Minimal Tool Set for Gathering USDA Quick Stat Data for Analysis and Visualization
Description: Provides a consistent API to pull United States Department of Agriculture census and survey data from the National Agricultural Statistics Service (NASS) QuickStats service.
Author: Brad Lindblad [aut, cre], Michael Thomas [ctb], Alex Mindeman [ctb]
Maintainer: Brad Lindblad <bradley.lindblad@gmail.com>

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Package rEDM updated to version 1.7.1 with previous version 1.7.0 dated 2020-11-14

Title: Empirical Dynamic Modeling ('EDM')
Description: An implementation of 'EDM' algorithms based on research software developed for internal use at the Sugihara Lab ('UCSD/SIO'). The package is implemented with 'Rcpp' wrappers around the 'cppEDM' library. It implements the 'simplex' projection method from Sugihara & May (1990) <doi:10.1038/344734a0>, the 'S-map' algorithm from Sugihara (1994) <doi:10.1098/rsta.1994.0106>, convergent cross mapping described in Sugihara et al. (2012) <doi:10.1126/science.1227079>, and, 'multiview embedding' described in Ye & Sugihara (2016) <doi:10.1126/science.aag0863>.
Author: Joseph Park [aut, cre] (<https://orcid.org/0000-0001-5411-1409>), Cameron Smith [aut], George Sugihara [aut, ccp] (<https://orcid.org/0000-0002-2863-6946>), Ethan Deyle [aut] (<https://orcid.org/0000-0001-8704-8434>), Erik Saberski [ctb] (<https://orcid.org/0000-0002-6475-6187>), Hao Ye [ctb] (<https://orcid.org/0000-0002-8630-1458>), The Regents of the University of California [cph]
Maintainer: Joseph Park <JosephPark@IEEE.org>

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Package Unicode updated to version 13.0.0-2 with previous version 13.0.0-1 dated 2020-03-16

Title: Unicode Data and Utilities
Description: Data from Unicode 13.0.0 and related utilities.
Author: Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>)
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between Unicode versions 13.0.0-1 dated 2020-03-16 and 13.0.0-2 dated 2020-12-03

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Package cclust updated to version 0.6-22 with previous version 0.6-21 dated 2017-01-17

Title: Convex Clustering Methods and Clustering Indexes
Description: Convex Clustering methods, including K-means algorithm, On-line Update algorithm (Hard Competitive Learning) and Neural Gas algorithm (Soft Competitive Learning), and calculation of several indexes for finding the number of clusters in a data set.
Author: Evgenia Dimitriadou [aut], Kurt Hornik [ctb, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between cclust versions 0.6-21 dated 2017-01-17 and 0.6-22 dated 2020-12-03

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Package tau updated to version 0.0-22 with previous version 0.0-21 dated 2019-03-04

Title: Text Analysis Utilities
Description: Utilities for text analysis.
Author: Christian Buchta [aut], Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>), Ingo Feinerer [aut], David Meyer [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package subscreen updated to version 3.0.2 with previous version 3.0.1 dated 2020-10-27

Title: Systematic Screening of Study Data for Subgroup Effects
Description: Identifying outcome relevant subgroups has now become as simple as possible! The formerly lengthy and tedious search for the needle in a haystack will be replaced by a single, comprehensive and coherent presentation. The central result of a subgroup screening is a diagram in which each single dot stands for a subgroup. The diagram may show thousands of them. The position of the dot in the diagram is determined by the sample size of the subgroup and the statistical measure of the treatment effect in that subgroup. The sample size is shown on the horizontal axis while the treatment effect is displayed on the vertical axis. Furthermore, the diagram shows the line of no effect and the overall study results. For small subgroups, which are found on the left side of the plot, larger random deviations from the mean study effect are expected, while for larger subgroups only small deviations from the study mean can be expected to be chance findings. So for a study with no conspicuous subgroup effects, the dots in the figure are expected to form a kind of funnel. Any deviations from this funnel shape hint to conspicuous subgroups. This approach was presented in Muysers (2020) <doi:10.1007/s43441-019-00082-6> and referenced in Ballarini (2020) <doi:10.1002/pst.2012>. New to version 3 is the Automatic Screening of one- or MUlti-factorial Subgroups (ASMUS) for documentation of the structured review of subgroup findings.
Author: Bodo Kirsch, Steffen Jeske, Susanne Lippert, Thomas Schmelter, Christoph Muysers, Hermann Kulmann
Maintainer: Bodo Kirsch <bodo.kirsch@bayer.com>

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Package streamMOA updated to version 1.2-3 with previous version 1.2-2 dated 2019-05-15

Title: Interface for MOA Stream Clustering Algorithms
Description: Interface for data stream clustering algorithms implemented in the MOA (Massive Online Analysis) framework (Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer (2010). MOA: Massive Online Analysis, Journal of Machine Learning Research 11: 1601-1604).
Author: Michael Hahsler [aut, cre, cph], John Forrest [aut, cph], Matthew Bolanos [ctb], Matthias Carnein [ctb], Dalibor Krleža [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package slam updated to version 0.1-48 with previous version 0.1-47 dated 2019-12-21

Title: Sparse Lightweight Arrays and Matrices
Description: Data structures and algorithms for sparse arrays and matrices, based on index arrays and simple triplet representations, respectively.
Author: Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>), David Meyer [aut], Christian Buchta [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between slam versions 0.1-47 dated 2019-12-21 and 0.1-48 dated 2020-12-03

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Package skmeans updated to version 0.2-13 with previous version 0.2-12 dated 2020-07-07

Title: Spherical k-Means Clustering
Description: Algorithms to compute spherical k-means partitions. Features several methods, including a genetic and a fixed-point algorithm and an interface to the CLUTO vcluster program.
Author: Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>), Ingo Feinerer [aut], Martin Kober [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package OAIHarvester updated to version 0.3-1 with previous version 0.3-0 dated 2017-07-10

Title: Harvest Metadata Using OAI-PMH Version 2.0
Description: Harvest metadata using the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) version 2.0 (for more information, see <http://www.openarchives.org/OAI/openarchivesprotocol.html>).
Author: Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>)
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package NNS updated to version 0.5.6 with previous version 0.5.5 dated 2020-09-02

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>

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Package clue updated to version 0.3-58 with previous version 0.3-57 dated 2019-02-25

Title: Cluster Ensembles
Description: CLUster Ensembles.
Author: Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>), Walter Böhm [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package wrGraph updated to version 1.1.1 with previous version 1.1.0 dated 2020-11-21

Title: Graphics in the Context of Analyzing High-Throughput Data
Description: Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and generation of mouse-over interactive html pages.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@unistra.fr>

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Package Rsymphony updated to version 0.1-29 with previous version 0.1-28 dated 2017-11-07

Title: SYMPHONY in R
Description: An R interface to the SYMPHONY solver for mixed-integer linear programs.
Author: Reinhard Harter [aut], Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>), Stefan Theussl [aut], Cyrille Szymanski [ctb], Florian Schwendinger [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package RRphylo updated to version 2.5.0 with previous version 2.4.11 dated 2020-09-25

Title: Phylogenetic Ridge Regression Methods for Comparative Studies
Description: Functions for phylogenetic analysis (Castiglione et al, 2018 <doi:10.1111/2041-210X.12954>). The functions perform the estimation of phenotypic evolutionary rates, identification of phenotypic evolutionary rate shifts, quantification of direction and size of evolutionary change in multivariate traits, the computation of ontogenetic shape vectors and test for morphological convergence.
Author: Pasquale Raia, Silvia Castiglione, Carmela Serio, Alessandro Mondanaro, Marina Melchionna, Mirko Di Febbraro, Antonio Profico, Francesco Carotenuto
Maintainer: Pasquale Raia <pasquale.raia@unina.it>

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Package pomp updated to version 3.2 with previous version 3.1 dated 2020-07-05

Title: Statistical Inference for Partially Observed Markov Processes
Description: Tools for data analysis with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models). The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a versatile platform for implementation of inference methods for general POMP models.
Author: Aaron A. King [aut, cre], Edward L. Ionides [aut], Carles Breto [aut], Stephen P. Ellner [ctb], Matthew J. Ferrari [ctb], Bruce E. Kendall [ctb], Michael Lavine [ctb], Dao Nguyen [ctb], Daniel C. Reuman [ctb], Helen Wearing [ctb], Simon N. Wood [ctb], Sebastian Funk [ctb], Steven G. Johnson [ctb], Eamon B. O'Dea [ctb]
Maintainer: Aaron A. King <kingaa@umich.edu>

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Package loopr (with last version 1.0.1) was removed from CRAN

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

2015-05-27 1.0.1
2015-05-07 1.0.0

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Package datamaps (with last version 0.0.3) was removed from CRAN

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

2018-05-14 0.0.3
2018-04-08 0.0.2
2018-03-01 0.0.1

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Package tidytidbits (with last version 0.2.2) was removed from CRAN

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

2020-04-15 0.2.2
2019-07-01 0.2.1
2019-02-11 0.2.0
2018-08-24 0.1.0

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

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

2018-12-19 0.1.1
2018-08-17 0.1.0

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Package survivalAnalysis (with last version 0.1.3) was removed from CRAN

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

2020-06-29 0.1.3
2020-04-17 0.1.2
2019-02-13 0.1.1

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Package do updated to version 1.6.0.0 with previous version 1.5.0.0 dated 2020-09-17

Title: Data Operator
Description: Flexibly convert data between long and wide format using just two functions: reshape_toLong() and reshape_toWide().
Author: Jing Zhang, Zhi Jin
Maintainer: Jing Zhang<zj391120@163.com>

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Package RcmdrPlugin.TeachingDemos updated to version 1.2-0 with previous version 1.1-0 dated 2016-11-12

Title: Rcmdr Teaching Demos Plug-in
Description: Provides an Rcmdr "plug-in" based on the TeachingDemos package, and is primarily for illustrative purposes.
Author: John Fox <jfox@mcmaster.ca>
Maintainer: John Fox <jfox@mcmaster.ca>

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Package r2dii.match updated to version 0.0.7 with previous version 0.0.6 dated 2020-10-01

Title: Tools to Match Financial Portfolios with Climate Data
Description: These tools implement in R a fundamental part of the software 'PACTA' (Paris Agreement Capital Transition Assessment), which is a free tool that calculates the alignment between financial portfolios and climate scenarios (<https://2degrees-investing.org/>). Financial institutions use 'PACTA' to study how their capital allocation impacts the climate. This package matches data from financial portfolios to asset level data from market-intelligence databases (e.g. power plant capacities, emission factors, etc.). This is the first step to assess if a financial portfolio aligns with climate goals.
Author: Mauro Lepore [aut, cre, ctr] (<https://orcid.org/0000-0002-1986-7988>), Jackson Hoffart [aut] (<https://orcid.org/0000-0002-8600-5042>), Klaus Hagedorn [aut], Florence Palandri [aut], Evgeny Petrovsky [aut], 2 Degrees Investing Initiative [cph, fnd]
Maintainer: Mauro Lepore <maurolepore@gmail.com>

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Package SPOT updated to version 2.1.8 with previous version 2.1.2 dated 2020-10-28

Title: Sequential Parameter Optimization Toolbox
Description: A set of tools for model based optimization and tuning of algorithms. It includes surrogate models, optimizers, and design of experiment approaches. The main interface is spot, which uses sequentially updated surrogate models for the purpose of efficient optimization. The main goal is to ease the burden of objective function evaluations, when a single evaluation requires a significant amount of resources.
Author: Thomas Bartz-Beielstein [aut, cre], Joerg Stork [aut], Martin Zaefferer [aut], Margarita Rebolledo [ctb], Christian Lasarczyk [ctb], Frederik Rehbach [aut]
Maintainer: Thomas Bartz-Beielstein <tbb@bartzundbartz.de>

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Package SiteAdapt updated to version 1.1.0 with previous version 1.0.0 dated 2020-07-07

Title: Site Adaptation of Solar Irradiance Modeled Series
Description: The SiteAdapt procedure improves the accuracy of modeled solar irradiance series through site-adaptation with coincident ground-based measurements relying on the use of a regression preprocessing followed by an empirical quantile mapping (eQM) correction. Fernandez-Peruchena et al (2020) <doi:10.3390/rs12132127>.
Author: Carlos M. Fernandez-Peruchena
Maintainer: Carlos M. Fernandez-Peruchena <cfernandez@cener.com>

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Package pairwiseComparisons updated to version 3.1.1 with previous version 3.1.0 dated 2020-10-28

Title: Multiple Pairwise Comparison Tests
Description: Multiple pairwise comparison tests on tidy data for one-way analysis of variance for both between-subjects and within-subjects designs. Currently, it supports only the most common types of statistical analyses and tests: parametric (Welch's and Student's t-test), nonparametric (Durbin-Conover and Dunn test), robust (Yuen’s trimmed means test), and Bayes Factor (Student's t-test).
Author: Indrajeet Patil [cre, aut, cph] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package ProFound updated to version 1.14.1 with previous version 1.3.4 dated 2018-11-28

Title: Photometry Tools
Description: Core package containing all the tools for simple and advanced source extraction. This is used to create inputs for 'ProFit', or for source detection, extraction and photometry in its own right.
Author: Aaron Robotham
Maintainer: Aaron Robotham <aaron.robotham@uwa.edu.au>

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Package ade4TkGUI updated to version 0.3-1 with previous version 0.3-0 dated 2019-09-17

Title: 'ade4' Tcl/Tk Graphical User Interface
Description: A Tcl/Tk GUI for some basic functions in the 'ade4' package.
Author: Jean Thioulouse <jean.thioulouse@univ-lyon1.fr>, Stéphane Dray <stephane.dray@univ-lyon1.fr>, Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>
Maintainer: Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between ade4TkGUI versions 0.3-0 dated 2019-09-17 and 0.3-1 dated 2020-12-03

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New package SurrogateRegression with initial version 0.5.0
Package: SurrogateRegression
Title: Surrogate Outcome Regression Analysis
Date: 2020-12-01
Version: 0.5.0
Authors@R: person(given = "Zachary", family = "McCaw", role = c("aut", "cre"), email = "zmccaw@alumni.harvard.edu", comment = c(ORCID = "0000-0002-2006-9828") )
Description: Performs estimation and inference on a partially missing target outcome while borrowing information from a correlated surrogate outcome to increase estimation precision and improve power. The target and surrogate outcomes are jointly modeled within a bivariate outcome regression framework. Unobserved values of either outcome are regarded as missing data. Estimation in the presence of bilateral outcome missingness is performed via an expectation conditional maximization algorithm. A flexible association test is provided for evaluating hypotheses about the target regression parameters. See McCaw ZR, Gaynor SM, Sun R, Lin X; “Cross-tissue eQTL mapping in the presence of missing data via surrogate outcome analysis” <doi:10.1101/2020.11.29.403063>.
Depends: R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: methods, mvnfast, plyr, Rcpp, stats
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-12-01 15:47:59 UTC; zmccaw
Author: Zachary McCaw [aut, cre] (<https://orcid.org/0000-0002-2006-9828>)
Maintainer: Zachary McCaw <zmccaw@alumni.harvard.edu>
Repository: CRAN
Date/Publication: 2020-12-03 10:10:03 UTC

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Package ggstatsplot updated to version 0.6.6 with previous version 0.6.5 dated 2020-10-31

Title: 'ggplot2' Based Plots with Statistical Details
Description: Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included in the plots themselves. It provides an easier API to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports only the most common types of statistical tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses.
Author: Indrajeet Patil [cre, aut, cph] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package contribution updated to version 0.2.0 with previous version 0.1.0 dated 2019-07-18

Title: A Tiny Contribution Table Generator Based on 'ggplot2'
Description: Contribution table for credit assignment based on 'ggplot2'. This can improve the author contribution information in academic journals and personal CV.
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>)
Maintainer: Shixiang Wang <w_shixiang@163.com>

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More information about contribution at CRAN
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Package cellWise updated to version 2.2.3 with previous version 2.2.2 dated 2020-11-26

Title: Analyzing Data with Cellwise Outliers
Description: Tools for detecting cellwise outliers and robust methods to analyze data which may contain them. Contains the implementation of the algorithms described in Rousseeuw and Van den Bossche (2018) <doi:10.1080/00401706.2017.1340909> (open access) Hubert et al. (2019) <doi:10.1080/00401706.2018.1562989> (open access), Raymaekers and Rousseeuw (2019) <doi:10.1080/00401706.2019.1677270> (open access), Raymaekers and Rousseeuw (2020) <arXiv:2005.07946> (open access), Raymaekers and Rousseeuw (2020) <arXiv:1912.12446> (open access). Examples can be found in the vignettes: "DDC_examples", "MacroPCA_examples", "wrap_examples", "transfo_examples" and "DI_examples".
Author: Jakob Raymaekers [aut, cre], Peter Rousseeuw [aut], Wannes Van den Bossche [ctb], Mia Hubert [ctb]
Maintainer: Jakob Raymaekers <jakob.raymaekers@kuleuven.be>

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New package sfo with initial version 0.1.0
Package: sfo
Type: Package
Title: San Francisco International Airport Monthly Air Passengers
Version: 0.1.0
Authors@R: person(given = "Rami", family ="Krispin", email = "rami.krispin@gmail.com", role = c("aut", "cre"))
Maintainer: Rami Krispin <rami.krispin@gmail.com>
Description: Provides monthly statistics on the number of monthly air passengers at SFO airport such as operating airline, terminal, geo, etc. Data source: San Francisco data portal (DataSF) <https://data.sfgov.org/Transportation/Air-Traffic-Passenger-Statistics/rkru-6vcg>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: dplyr (>= 1.0.0), magrittr (>= 1.5), plotly (>= 4.9.2.1), knitr, rmarkdown, tidyr (>= 1.0.0)
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-12-01 04:23:50 UTC; ramikrispin
Author: Rami Krispin [aut, cre]
Repository: CRAN
Date/Publication: 2020-12-03 09:10:02 UTC

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New package GEVACO with initial version 1.0.0
Package: GEVACO
Type: Package
Title: Joint Test of Gene and GxE Interactions via Varying Coefficients
Version: 1.0.0
Author: Zhengyang Zhou [aut] Sydney Manning [aut, cre] Chao Xing [aut] Hung-Chih Ku [aut]
Depends: R (>= 3.6)
Description: A novel statistical model to detect the joint genetic and dynamic gene-environment (GxE) interaction with continuous traits in genetic association studies. It uses varying-coefficient models to account for different GxE trajectories, regardless whether the relationship is linear or not. The package includes one function, GxEtest(), to test a single genetic variant (e.g., a single nucleotide polymorphism or SNP), and another function, GxEscreen(), to test for a set of genetic variants. The method involves a likelihood ratio test described in Crainiceanu, C. M., and Ruppert, D. (2004) <doi:10.1111/j.1467-9868.2004.00438.x>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: nlme, RLRsim, stats
Suggests: rmarkdown, knitr
RoxygenNote: 7.1.0
VignetteBuilder: knitr
Maintainer: Sydney Manning <sydneymanning@my.unthsc.edu>
NeedsCompilation: no
Packaged: 2020-12-01 03:51:59 UTC; Student
Repository: CRAN
Date/Publication: 2020-12-03 09:10:06 UTC

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Package cohorttools updated to version 0.1.4 with previous version 0.1.3 dated 2020-10-16

Title: Cohort Data Analyses
Description: Functions to make lifetables and to calculate hazard function estimate using Poisson regression model with splines. Includes function to draw simple flowchart of cohort study. Function boxesLx() makes boxes of transition rates between states. It utilizes 'Epi' package 'Lexis' data.
Author: Jari Haukka [aut, cre]
Maintainer: Jari Haukka <jari.haukka@helsinki.fi>

Diff between cohorttools versions 0.1.3 dated 2020-10-16 and 0.1.4 dated 2020-12-03

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

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

2020-07-09 0.1.1
2020-02-28 0.1.0

Permanent link
Package this.path updated to version 0.2.0 with previous version 0.1.0 dated 2020-11-11

Title: Get Executing Script's Path, from 'RStudio', 'RGui', 'Rscript' (Command-Line / / Terminal), and when using 'source'
Description: Determine the full path of the executing script. Works when running a line or selection from an open R script in 'RStudio' and 'RGui', when using 'source' and 'sys.source' and 'debugSource' ('RStudio' exclusive), and when running 'Rscript' from the command-line / / terminal.
Author: Andrew Simmons
Maintainer: Andrew Simmons <akwsimmo@gmail.com>

Diff between this.path versions 0.1.0 dated 2020-11-11 and 0.2.0 dated 2020-12-03

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New package shinydlplot with initial version 0.1.3
Package: shinydlplot
Type: Package
Title: Add a Download Button to a 'shiny' Plot or 'plotly'
Version: 0.1.3
Author: Alex Pickering
Maintainer: Alex Pickering <alexvpickering@gmail.com>
Description: Add a download button to a 'shiny' plot or 'plotly' that appears when the plot is hovered. A tooltip, styled to resemble 'plotly' buttons, is displayed on hover of the download button. The download button can be used to allow users to download the dataset used for a plot.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: ggplot2 (>= 3.3.2)
Imports: shinyBS (>= 0.61), shiny (>= 1.4.0), shinyjs (>= 1.1), plotly (>= 4.9.2), htmlwidgets (>= 1.5.1), htmltools (>= 0.5.0), methods, utils
NeedsCompilation: no
Packaged: 2020-11-30 17:56:17 UTC; alex
Repository: CRAN
Date/Publication: 2020-12-03 08:50:05 UTC

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New package sarp.snowprofile.alignment with initial version 1.0.2
Package: sarp.snowprofile.alignment
Title: Snow Profile Alignment, Aggregation, and Clustering
Version: 1.0.2
Date: 2020-11-30
Authors@R: c( person(given = "Florian", family = "Herla", role = c("aut", "cre"), email = "fherla@sfu.ca"), person(given = "Pascal", family = "Haegeli", role = "aut", email = "pascal_haegeli@sfu.ca"), person(given = "Simon", family = "Horton", role = "aut", email = "shorton@sfu.ca"), person("SFU Avalanche Research Program", role = "fnd") )
Description: Snow profiles describe the vertical (1D) stratigraphy of layered snow with different layer characteristics, such as grain type, hardness, deposition date, and many more. Hence, they represent a data format similar to multivariate time series containing categorical, ordinal, and numerical data types. Use this package to align snow profiles by matching their individual layers based on Dynamic Time Warping (DTW). The aligned profiles can then be assessed with an independent, global similarity measure that is geared towards avalanche hazard assessment. Finally, through exploiting data aggregation and clustering methods, the similarity measure provides the foundation for grouping and summarizing snow profiles according to similar hazard conditions. For more background information refer to Herla, Horton, and Haegeli (accepted) <doi:10.5194/gmd-2020-171>.
URL: http://www.avalancheresearch.ca/
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Language: en-US
Imports: dtw, grid, shiny
Depends: R (>= 2.10), sarp.snowprofile
Suggests: knitr, rmarkdown, dendextend, smacof
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-11-30 13:37:36 UTC; flo
Author: Florian Herla [aut, cre], Pascal Haegeli [aut], Simon Horton [aut], SFU Avalanche Research Program [fnd]
Maintainer: Florian Herla <fherla@sfu.ca>
Repository: CRAN
Date/Publication: 2020-12-03 08:30:03 UTC

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Package rgbif updated to version 3.4.0 with previous version 3.3.0 dated 2020-09-08

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>), rOpenSci [fnd] (https://ropensci.org/)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package pubh updated to version 1.1.19 with previous version 1.1.18 dated 2020-11-10

Title: A Toolbox for Public Health and Epidemiology
Description: A toolbox for making R functions and capabilities more accessible to students and professionals from Epidemiology and Public Health related disciplines. Includes a function to report coefficients and confidence intervals from models using robust standard errors (when available), functions that expand 'ggplot2' plots and functions relevant for introductory papers in Epidemiology or Public Health. Please note that use of the provided data sets is for educational purposes only.
Author: Josie Athens [aut, cre], Frank Harell [ctb], John Fox [ctb], R-Core [ctb]
Maintainer: Josie Athens <josie.athens@otago.ac.nz>

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Package mikropml updated to version 0.0.2 with previous version 0.0.1 dated 2020-11-23

Title: User-Friendly R Package for Supervised Machine Learning Pipelines
Description: An interface to build machine learning models for classification and regression problems. 'mikropml' implements the ML pipeline described by Topçuoğlu et al. (2020) <doi:10.1128/mBio.00434-20> with reasonable default options for data preprocessing, hyperparameter tuning, cross-validation, testing, model evaluation, and interpretation steps. See the website <http://www.schlosslab.org/mikropml/> for more information, documentation, and examples.
Author: Begüm Topçuoğlu [aut] (<https://orcid.org/0000-0003-3140-537X>), Zena Lapp [aut] (<https://orcid.org/0000-0003-4674-2176>), Kelly Sovacool [aut, cre] (<https://orcid.org/0000-0003-3283-829X>), Evan Snitkin [aut] (<https://orcid.org/0000-0001-8409-278X>), Jenna Wiens [aut] (<https://orcid.org/0000-0002-1057-7722>), Patrick Schloss [aut] (<https://orcid.org/0000-0002-6935-4275>), Nick Lesniak [ctb] (<https://orcid.org/0000-0001-9359-5194>)
Maintainer: Kelly Sovacool <sovacool@umich.edu>

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New package ialiquor with initial version 0.1.0
Package: ialiquor
Title: Monthly Iowa Liquor Sales Summary
Version: 0.1.0
Authors@R: person(given = "Nikhil", family = "Agarwal", role = c("aut", "cre"), email = "gitnik@niks.me", comment = c(ORCID = "0000-0003-1470-7472"))
Description: Provides a monthly summary of Iowa liquor (class E) sales from January 2015 to October 2020. See the package website for more information, documentation and examples. Data source: Iowa Data portal <https://data.iowa.gov/resource/m3tr-qhgy.csv>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
Suggests: dplyr, knitr, ggplot2, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-11-30 21:08:46 UTC; nikhil
Author: Nikhil Agarwal [aut, cre] (<https://orcid.org/0000-0003-1470-7472>)
Maintainer: Nikhil Agarwal <gitnik@niks.me>
Repository: CRAN
Date/Publication: 2020-12-03 09:00:08 UTC

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New package healthyR with initial version 0.1.0
Package: healthyR
Title: Hospital Data Analysis Workflow Tools
Version: 0.1.0
Authors@R: c( person("Steven","Sanderson", email = "spsanderson@gmail.com", role = c("aut","cre")), person("Steven Sanderson", role = "cph"))
Description: Hospital data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative hospital data. Some of these include average length of stay, readmission rates, average net pay amounts by service lines just to name a few. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
URL: https://github.com/spsanderson/healthyR
BugReports: https://github.com/spsanderson/healthyR/issues
Imports: magrittr, rlang (>= 0.1.2), tibble, timetk, ggplot2, dplyr, lubridate, graphics, purrr, stringr, writexl, cowplot, scales
Suggests: knitr, rmarkdown, roxygen2, pacman, healthyR.data
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-11-30 14:24:34 UTC; Steve
Author: Steven Sanderson [aut, cre], Steven Sanderson [cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>
Repository: CRAN
Date/Publication: 2020-12-03 08:30:06 UTC

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Package BGGM updated to version 2.0.3 with previous version 2.0.2 dated 2020-07-24

Title: Bayesian Gaussian Graphical Models
Description: Fit Bayesian Gaussian graphical models. The methods are separated into two Bayesian approaches for inference: hypothesis testing and estimation. There are extensions for confirmatory hypothesis testing, comparing Gaussian graphical models, and node wise predictability. These methods were recently introduced in the Gaussian graphical model literature, including Williams (2019) <doi:10.31234/osf.io/x8dpr>, Williams and Mulder (2019) <doi:10.31234/osf.io/ypxd8>, Williams, Rast, Pericchi, and Mulder (2019) <doi:10.31234/osf.io/yt386>.
Author: Donald Williams [aut, cre], Joris Mulder [aut]
Maintainer: Donald Williams <drwwilliams@ucdavis.edu>

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Package kim updated to version 0.2.20 with previous version 0.1.11 dated 2020-11-25

Title: Functions for Behavioral Science Researchers
Description: Miscellaneous functions designed to facilitate and simplify analyses of experimental data. Examples include a function that plots sample means of groups in a factorial experimental design, a function that conducts robust regressions with bootstrapped samples, and a function that conducts two-way analysis of variance.
Author: Jin Kim [aut, cre] (<https://orcid.org/0000-0002-5013-3958>)
Maintainer: Jin Kim <jin.m.kim@yale.edu>

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Package tidygate updated to version 0.3.2 with previous version 0.2.8 dated 2020-09-26

Title: Add Gate Information to Your Tibble
Description: It interactively or programmatically label points within custom gates on two dimensions. The information is added to your tibble. It is based on the package 'gatepoints' from Wajid Jawaid. The benefits are (i) in interactive mode you can draw your gates on extensive 'ggplot'-like scatter plots; (ii) you can draw multiple gates; and (iii) you can save your gates and apply the programmatically.
Author: Stefano Mangiola [aut, cre], Wajid Jawaid [ctb]
Maintainer: Stefano Mangiola <mangiolastefano@gmail.com>

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