Mon, 20 May 2019

Package ks updated to version 1.11.5 with previous version 1.11.4 dated 2019-02-20

Title: Kernel Smoothing
Description: Kernel smoothers for univariate and multivariate data, including densities, density derivatives, cumulative distributions, clustering, classification, density ridges, significant modal regions, and two-sample hypothesis tests. Chacon & Duong (2018) <doi:10.1201/9780429485572>.
Author: Tarn Duong [aut, cre], Matt Wand [ctb], Jose Chacon [ctb], Artur Gramacki [ctb]
Maintainer: Tarn Duong <tarn.duong@gmail.com>

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Package volleystat updated to version 0.2.0 with previous version 0.1.0 dated 2019-02-26

Title: Detailed Statistics on Volleyball Matches
Description: Volleyball match statistics of the German volleyball first division league (seasons 2013/2014 to 2018/2019). The data has been collected from the official volleyball first division homepage (<www.volleyball-bundesliga.de>) and contains information on teams, staff, sets, matches, and player-in-match statistics (extracted automatically from the official match reports).
Author: Viktor Bozhinov [aut, cre]
Maintainer: Viktor Bozhinov <mail@viktor-bozhinov.de>

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Package RcppEnsmallen updated to version 0.1.15.0.1 with previous version 0.1.14.4.1 dated 2019-05-13

Title: Header-Only C++ Mathematical Optimization Library for 'Armadillo'
Description: 'Ensmallen' is a templated C++ mathematical optimization library (by the 'MLPACK' team) that provides a simple set of abstractions for writing an objective function to optimize. Provided within are various standard and cutting-edge optimizers that include full-batch gradient descent techniques, small-batch techniques, gradient-free optimizers, and constrained optimization. The 'RcppEnsmallen' package includes the header files from the 'Ensmallen' library and pairs the appropriate header files from 'armadillo' through the 'RcppArmadillo' package. Therefore, users do not need to install 'Ensmallen' nor 'Armadillo' to use 'RcppEnsmallen'. Note that 'Ensmallen' is licensed under 3-Clause BSD, 'Armadillo' starting from 7.800.0 is licensed under Apache License 2, 'RcppArmadillo' (the 'Rcpp' bindings/bridge to 'Armadillo') is licensed under the GNU GPL version 2 or later. Thus, 'RcppEnsmallen' is also licensed under similar terms. Note that 'Ensmallen' requires a compiler that supports 'C++11' and 'Armadillo' 6.500 or later.
Author: James Joseph Balamuta [aut, cre, cph] (<https://orcid.org/0000-0003-2826-8458>), Dirk Eddelbuettel [aut, cph] (<https://orcid.org/0000-0001-6419-907X>)
Maintainer: James Joseph Balamuta <balamut2@illinois.edu>

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Package phenocamapi updated to version 0.1.5 with previous version 0.1.4 dated 2019-03-19

Title: Interacting with the PhenoCam Data and API
Description: A bundle to facilitate working with PhenoCam timeseries and data. The user would be able to obtain phenological time-series and site metadata from the PhenoCam network <https://phenocam.sr.unh.edu/webcam/>.
Author: Bijan Seyednasrollah
Maintainer: Bijan Seyednasrollah <bijan.s.nasr@gmail.com>

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Package kSamples updated to version 1.2-9 with previous version 1.2-8 dated 2018-06-03

Title: K-Sample Rank Tests and their Combinations
Description: Compares k samples using the Anderson-Darling test, Kruskal-Wallis type tests with different rank score criteria, Steel's multiple comparison test, and the Jonckheere-Terpstra (JT) test. It computes asymptotic, simulated or (limited) exact P-values, all valid under randomization, with or without ties, or conditionally under random sampling from populations, given the observed tie pattern. Except for Steel's test and the JT test it also combines these tests across several blocks of samples. Also analyzed are 2 x t contingency tables and their blocked combinations using the Kruskal-Wallis criterion. Steel's test is inverted to provide simultaneous confidence bounds for shift parameters. A plotting function compares tail probabilities obtained under asymptotic approximation with those obtained via simulation or exact calculations.
Author: Fritz Scholz [aut, cre], Angie Zhu [aut]
Maintainer: Fritz Scholz <fscholz@u.washington.edu>

Diff between kSamples versions 1.2-8 dated 2018-06-03 and 1.2-9 dated 2019-05-20

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Package cmvnorm updated to version 1.0-6 with previous version 1.0-5 dated 2018-08-16

Title: The Complex Multivariate Gaussian Distribution
Description: Various utilities for the complex multivariate Gaussian distribution.
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between cmvnorm versions 1.0-5 dated 2018-08-16 and 1.0-6 dated 2019-05-20

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Package macleish updated to version 0.3.4 with previous version 0.3.2 dated 2018-01-03

Title: Retrieve Data from MacLeish Field Station
Description: Download data from the Ada and Archibald MacLeish Field Station in Whately, MA. The Ada and Archibald MacLeish Field Station is a 260-acre patchwork of forest and farmland located in West Whately, MA that provides opportunities for faculty and students to pursue environmental research, outdoor education, and low-impact recreation (see <http://www.smith.edu/ceeds/macleish.php> for more information). This package contains weather data over several years, and spatial data on various man-made and natural structures.
Author: Benjamin S. Baumer [aut, cre], Rose Goueth [aut], Wencong Li [aut], Weijia Zhang [aut], Nicholas Horton [aut]
Maintainer: Benjamin S. Baumer <ben.baumer@gmail.com>

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Package learnPopGen updated to version 1.0.4 with previous version 0.9.8 dated 2018-10-12

Title: Population Genetic Simulations & Numerical Analysis
Description: Conducts various numerical analyses and simulations in population genetics and evolutionary theory, primarily for the purpose of teaching (and learning about) key concepts in population & quantitative genetics, and evolutionary theory.
Author: Liam J. Revell
Maintainer: Liam J. Revell <liam.revell@umb.edu>

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New package mdsr with initial version 0.1.7
Package: mdsr
Title: Complement to 'Modern Data Science with R'
Version: 0.1.7
Date: 2019-05-20
Authors@R: c( person("Ben", "Baumer", email = "ben.baumer@gmail.com", role = c("aut", "cre")), person("Nicholas", "Horton", email = "nhorton@amherst.edu", role = "aut"), person("Daniel", "Kaplan", email = "kaplan@macalester.edu", role = "aut"))
Description: A complement to *Modern Data Science with R* (ISBN: 978-1498724487, publisher URL: <https://www.crcpress.com/Modern-Data-Science-with-R/Baumer-Kaplan-Horton/p/book/9781498724487>). This package contains all of the data and code necessary to complete exercises and reproduce examples from the text. It also facilitates connections to the SQL database server used in the book.
Depends: R (>= 3.2.0)
License: CC0
LazyData: true
Imports: babynames, DBI, dbplyr, downloader, dplyr, fs, ggplot2, mosaic, RMySQL
Suggests: knitr, Lahman, etl, macleish, lubridate, sp, testthat
RoxygenNote: 6.1.1
Encoding: UTF-8
URL: http://github.com/beanumber/mdsr
BugReports: https://github.com/beanumber/mdsr/issues
NeedsCompilation: no
Packaged: 2019-05-20 18:30:59 UTC; bbaumer
Author: Ben Baumer [aut, cre], Nicholas Horton [aut], Daniel Kaplan [aut]
Maintainer: Ben Baumer <ben.baumer@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-20 19:20:03 UTC

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Package ioanalysis updated to version 0.2.0 with previous version 0.1.3 dated 2019-04-21

Title: Input Output Analysis
Description: Calculates fundamental IO matrices (Leontief, Wassily W. (1951) <doi:10.1038/scientificamerican1051-15>, Ghosh, A. (1958) <doi:10.2307/2550694>); within period analysis via various rankings and coefficients (Sonis and Hewings (2006) <doi:10.1080/09535319200000013>, Blair and Miller (2009) <ISBN:978-0-521-73902-3>, Antras et al (2012) <doi:10.3386/w17819>, Hummels, Ishii, and Yi (2001) <doi:10.1016/S0022-1996(00)00093-3>); across period analysis with impact analysis (Dietzenbacher, van der Linden, and Steenge (2006) <doi:10.1080/09535319300000017>, Sonis, Hewings, and Guo (2006) <doi:10.1080/09535319600000002>); and a variety of table operators.
Author: John Wade [aut, cre], Ignacio Sarmiento-Barbieri [aut]
Maintainer: John Wade <jjpwade2@illinois.edu>

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Package ragtop updated to version 1.1.0 with previous version 1.0.0 dated 2018-12-15

Title: Pricing Equity Derivatives with Extensions of Black-Scholes
Description: Algorithms to price American and European equity options, convertible bonds and a variety of other financial derivatives. It uses an extension of the usual Black-Scholes model in which jump to default may occur at a probability specified by a power-law link between stock price and hazard rate as found in the paper by Takahashi, Kobayashi, and Nakagawa (2001) <doi:10.3905/jfi.2001.319302>. We use ideas and techniques from Andersen and Buffum (2002) <doi:10.2139/ssrn.355308> and Linetsky (2006) <doi:10.1111/j.1467-9965.2006.00271.x>.
Author: Brian K. Boonstra
Maintainer: Brian K. Boonstra <ragtop@boonstra.org>

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Package pedgene updated to version 3.1 with previous version 2.9 dated 2015-10-09

Title: Gene-Level Statistics for Pedigree Data
Description: Gene-level association tests with disease status for pedigree data: kernel and burden association statistics (2013, <doi: 10.1002/gepi.21727>).
Author: Schaid Daniel [aut], Visconti Alessia [ctb], Jason Sinnwell [aut, cre]
Maintainer: Jason Sinnwell <sinnwell.jason@mayo.edu>

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Package paco updated to version 0.4.1 with previous version 0.4.0 dated 2019-05-12

Title: Procrustes Application to Cophylogenetic Analysis
Description: Procrustes analyses to infer co-phylogenetic matching between pairs of (ultrametric) phylogenetic trees.
Author: Juan Antonio Balbuena <j.a.balbuena@uv.es>, Timothee Poisot <tim@poisotlab.io>, Matthew Hutchinson <matthewhutchinson15@gmail.com>, Fernando Cagua <fernando@cagua.co>
Maintainer: Matthew Hutchinson <matthewhutchinson15@gmail.com>

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Package networktools updated to version 1.2.1 with previous version 1.2.0 dated 2018-06-05

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

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Package geomorph updated to version 3.1.2 with previous version 3.1.1 dated 2019-04-02

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

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Package errors updated to version 0.3.2 with previous version 0.3.1 dated 2018-12-05

Title: Uncertainty Propagation for R Vectors
Description: Support for measurement errors in R vectors, matrices and arrays: automatic uncertainty propagation and reporting. Documentation about 'errors' is provided in the paper by Ucar, Pebesma & Azcorra (2018, <doi:10.32614/RJ-2018-075>), included in this package as a vignette; see 'citation("errors")' for details.
Author: Iñaki Ucar [aut, cph, cre] (<https://orcid.org/0000-0001-6403-5550>)
Maintainer: Iñaki Ucar <iucar@fedoraproject.org>

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Package unifed updated to version 1.1.0 with previous version 1.0.2 dated 2019-03-12

Title: The Unifed Distribution
Description: Probability functions and family for glm() of the unifed distribution (Quijano Xacur, 2018; <arXiv:1812.00251>).
Author: Oscar Alberto Quijano Xacur [aut,cre]
Maintainer: Oscar Alberto Quijano Xacur <oscar.quijano@use.startmail.com>

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Package simputation updated to version 0.2.3 with previous version 0.2.2 dated 2017-05-19

Title: Simple Imputation
Description: Easy to use interfaces to a number of imputation methods that fit in the not-a-pipe operator of the 'magrittr' package.
Author: Mark van der Loo [aut, cre]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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New package grattan with initial version 1.7.1.2
Package: grattan
Type: Package
Title: Australian Tax Policy Analysis
Version: 1.7.1.2
Date: 2019-05-01
Authors@R: c(person("Hugh", "Parsonage", role = c("aut", "cre"), email = "hugh.parsonage@gmail.com"), person("Tim", "Cameron", role = "aut"), person("Brendan", "Coates", role = "aut"), person("Matthew", "Katzen", role = "aut"), person("William", "Young", role = "aut"), person("Ittima", "Cherastidtham", role = "dtc"), person("W.", "Karsten", role = "ctb"), person("M.", "Enrique Garcia", role = "ctb"), person("Matt", "Cowgill", role = "aut"))
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>
URL: https://github.com/HughParsonage/grattan, https://hughparsonage.github.io/grattan/
BugReports: https://github.com/HughParsonage/grattan/issues
Description: Utilities for costing and evaluating Australian tax policy, including high-performance tax and transfer calculators, a fast method of projecting tax collections, and an interface to common indices from the Australian Bureau of Statistics. Written to support Grattan Institute's Australian Perspectives program. For access to the 'taxstats' package, please run install.packages("taxstats", repos = "https://hughparsonage.github.io/tax-drat/", type = "source"). N.B. The 'taxstats' package is approximately 50 MB.
Depends: R (>= 3.5.0)
License: GPL-2
Imports: data.table, hutils (>= 1.3.0), ineq (>= 0.2-10), rsdmx, fastmatch, forecast, assertthat (>= 0.1), magrittr (>= 1.5), Rcpp (>= 0.12.3), utils, zoo (>= 1.5-5)
LinkingTo: Rcpp
RoxygenNote: 6.1.1
Suggests: curl, dplyr, dtplyr, fst (>= 0.8.4), future, future.apply, ggplot2, ggrepel, knitr, lattice, mgcv, rlang, rmarkdown, scales, survey, taxstats, taxstats1516, testthat, tibble, viridis, yaml, withr, covr
Additional_repositories: https://hughparsonage.github.io/tax-drat/
LazyData: true
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2019-05-20 16:24:07 UTC; hughp
Author: Hugh Parsonage [aut, cre], Tim Cameron [aut], Brendan Coates [aut], Matthew Katzen [aut], William Young [aut], Ittima Cherastidtham [dtc], W. Karsten [ctb], M. Enrique Garcia [ctb], Matt Cowgill [aut]
Repository: CRAN
Date/Publication: 2019-05-20 18:00:03 UTC

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Package arulesViz updated to version 1.3-3 with previous version 1.3-2 dated 2018-12-05

Title: Visualizing Association Rules and Frequent Itemsets
Description: Extends package 'arules' with various visualization techniques for association rules and itemsets. The package also includes several interactive visualizations for rule exploration.
Author: Michael Hahsler [aut, cre, cph], Giallanza Tyler [ctb], Sudheer Chelluboina [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package AF updated to version 0.1.5 with previous version 0.1.4 dated 2017-02-10

Title: Model-Based Estimation of Confounder-Adjusted Attributable Fractions
Description: Estimates the attributable fraction in different sampling designs adjusted for measured confounders using logistic regression (cross-sectional and case-control designs), conditional logistic regression (matched case-control design), Cox proportional hazard regression (cohort design with time-to- event outcome), gamma-frailty model with a Weibull baseline hazard and instrumental variables analysis. An exploration of the AF with a genetic exposure can be found in the package 'AFheritability' Dahlqwist E et al. (2019) <doi:10.1007/s00439-019-02006-8>.
Author: Elisabeth Dahlqwist and Arvid Sjolander
Maintainer: Elisabeth Dahlqwist <elisabeth.dahlqwist88@gmail.com>

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Package hdme updated to version 0.3.1 with previous version 0.2.3 dated 2019-04-12

Title: High-Dimensional Regression with Measurement Error
Description: Penalized regression for generalized linear models for measurement error problems (aka. errors-in-variables). The package contains a version of the lasso (L1-penalization) which corrects for measurement error (Sorensen et al. (2015) <doi:10.5705/ss.2013.180>). It also contains an implementation of the Generalized Matrix Uncertainty Selector, which is a version the (Generalized) Dantzig Selector for the case of measurement error (Sorensen et al. (2018) <doi:10.1080/10618600.2018.1425626>).
Author: Oystein Sorensen
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>

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Package datapackage.r updated to version 0.1.1 with previous version 0.1.0 dated 2019-03-08

Title: Data Package 'Frictionless Data'
Description: Work with 'Frictionless Data Packages' (<https://frictionlessdata.io/specs/data-package/>). Allows to load and validate any descriptor for a data package profile, create and modify descriptors and provides expose methods for reading and streaming data in the package. When a descriptor is a 'Tabular Data Package', it uses the 'Table Schema' package (<https://CRAN.R-project.org/package=tableschema.r>) and exposes its functionality, for each resource object in the resources field.
Author: Kleanthis Koupidis [aut, cre], Lazaros Ioannidis [aut], Charalampos Bratsas [aut], Open Knowledge International [cph]
Maintainer: Kleanthis Koupidis <koupidis@okfn.gr>

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Package CLONETv2 updated to version 2.1.0 with previous version 2.0 dated 2019-04-05

Title: Clonality Estimates in Tumor
Description: Analyze data from next-generation sequencing experiments on genomic samples. 'CLONETv2' offers a set of functions to compute allele specific copy number and clonality from segmented data and SNPs position pileup. The package has also calculated the clonality of single nucleotide variants given read counts at mutated positions. The package has been developed at the laboratory of Computational and Functional Oncology, Department of CIBIO, University of Trento (Italy), under the supervision of prof Francesca Demichelis. References: Prandi et al. (2014) <doi:10.1186/s13059-014-0439-6>; Carreira et al. (2014) <doi:10.1126/scitranslmed.3009448>.
Author: Davide Prandi [aut, cre], Alessandro Romanel [ctb], Tarcisio Fedrizzi [ctb]
Maintainer: Davide Prandi <davide.prandi@unitn.it>

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Package bWGR updated to version 1.6.4 with previous version 1.6.3 dated 2019-04-24

Title: Bayesian Whole-Genome Regression
Description: Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, with optional kernel term and sampling techniques as described by Xavier (2017) <doi:10.1186/s12859-017-1582-3>.
Author: Alencar Xavier, William Muir, Kyle Kocak, Shizhong Xu, Katy Rainey.
Maintainer: Alencar Xavier <alenxav@gmail.com>

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Package trendyy updated to version 0.1.1 with previous version 0.1.0 dated 2019-05-15

Title: A Tidy Wrapper Around 'gtrendsR'
Description: Access Google Trends information. This package provides a tidy wrapper to the 'gtrendsR' package. Use four spaces when indenting paragraphs within the Description.
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

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New package changepoint.np with initial version 1.0.1
Package: changepoint.np
Type: Package
Title: Methods for Nonparametric Changepoint Detection
Version: 1.0.1
Date: 2019-05-20
Authors@R: c(person("Kaylea","Haynes",email="k.haynes1@lancaster.ac.uk",role=c("aut")),person("Rebecca","Killick",email="r.killick@lancaster.ac.uk",role=c("aut")),person("Paul","Fearnhead",email="p.fearnhead@lancaster.ac.uk",role=c("ths","ctb")),person("Idris","Eckley",email="i.eckley@lancaster.ac.uk",role=c("ths")),person("Daniel","Grose",email="changepoints@lancaster.ac.uk",role=c("ctb","cre")))
Description: Implements the multiple changepoint algorithm PELT with a nonparametric cost function based on the empirical distribution of the data. This package extends the changepoint package (see Killick, R and Eckley, I (2014) <doi:10.18637/jss.v058.i03> ).
Depends: changepoint
RdMacros: Rdpack
Imports: methods,zoo,Rdpack
License: GPL
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-05-20 11:42:05 UTC; grosedj
Author: Kaylea Haynes [aut], Rebecca Killick [aut], Paul Fearnhead [ths, ctb], Idris Eckley [ths], Daniel Grose [ctb, cre]
Maintainer: Daniel Grose <changepoints@lancaster.ac.uk>
Repository: CRAN
Date/Publication: 2019-05-20 14:10:10 UTC

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Package MCMCtreeR updated to version 1.0 with previous version 0.1 dated 2019-03-24

Title: Prepare MCMCtree Analyses and Plot Bayesian Divergence Time Analyses Estimates on Trees
Description: Provides functions to prepare time priors for 'MCMCtree' analyses in the 'PAML' software from Yang (2007)<doi:10.1093/molbev/msm088> and plot time-scaled phylogenies from any Bayesian divergence time analysis. Most time-calibrated node prior distributions require user-specified parameters. The package provides functions to refine these parameters, so that the resulting prior distributions accurately reflect confidence in known, usually fossil, time information. These functions also enable users to visualise distributions and write 'MCMCtree' ready input files. Additionally, the package supplies flexible functions to visualise age uncertainty on a plotted tree with using node bars, using branch widths proportional to the age uncertainty, or by plotting the full posterior distributions on nodes. Time-scaled phylogenetic plots can be visualised with absolute and geological timescales . All plotting functions are applicable with output from any Bayesian software, not just 'MCMCtree'.
Author: Mark Puttick [aut,cre]
Maintainer: Mark Puttick <mark.puttick@bristol.ac.uk>

Diff between MCMCtreeR versions 0.1 dated 2019-03-24 and 1.0 dated 2019-05-20

 DESCRIPTION                |   11 ++--
 MD5                        |   73 +++++++++++++++------------
 R/MCMC.tree.plot.R         |  119 +++++++++++++++++++++++++++------------------
 R/MCMCtreePhy.R            |   14 ++---
 R/estimateBound.R          |   15 ++---
 R/estimateCauchy.R         |   17 +++---
 R/estimateFixed.R          |   18 +++---
 R/estimateGamma.R          |   33 +++++-------
 R/estimateSkewNormal.R     |   24 ++++-----
 R/estimateSkewT.R          |   29 +++++-----
 R/estimateUpper.R          |   12 +---
 R/nodeTimes.R              |    3 -
 R/nodeToPhy.R              |   16 ------
 R/plotMCMCtree.R           |   15 +----
 R/priorPosterior.R         |   65 +++++++++++++++++-------
 R/readMCMCtree.R           |    5 +
 R/tipDes.R                 |   50 ++++++++++++------
 build                      |only
 data/MCMCtree.output.RData |binary
 data/apeData.RData         |binary
 inst                       |only
 man/MCMC.tree.plot.Rd      |   21 ++++++-
 man/MCMCtreePhy.Rd         |   14 ++---
 man/estimateBound.Rd       |   16 +++---
 man/estimateCauchy.Rd      |   21 +++----
 man/estimateFixed.Rd       |   20 +++----
 man/estimateGamma.Rd       |   33 ++++++------
 man/estimateSkewNormal.Rd  |   20 ++++---
 man/estimateSkewT.Rd       |   21 ++++---
 man/estimateUpper.Rd       |   14 ++---
 man/nodeToPhy.Rd           |   17 ------
 man/plotMCMCtree.Rd        |   17 ++----
 man/priorPosterior.Rd      |   12 +++-
 man/readMCMCtree.Rd        |    5 +
 man/tipDes.Rd              |   13 ++++
 vignettes                  |only
 36 files changed, 420 insertions(+), 343 deletions(-)

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Package CalSim updated to version 0.3.2 with previous version 0.2.2 dated 2019-02-01

Title: The Calibration Simplex
Description: Generates the calibration simplex (a generalization of the reliability diagram) for three-category probability forecasts, as proposed by Wilks (2013) <doi:10.1175/WAF-D-13-00027.1>.
Author: Johannes Resin
Maintainer: Johannes Resin <johannes.resin@h-its.org>

Diff between CalSim versions 0.2.2 dated 2019-02-01 and 0.3.2 dated 2019-05-20

 DESCRIPTION                            |    9 +-
 MD5                                    |   21 ++++--
 NEWS.md                                |only
 R/calibration_simplex.R                |   70 ++++++++++++++--------
 R/calibration_simplex.default.R        |  103 +++++++++++++++++++--------------
 R/data.R                               |only
 R/error.calibration_simplex.R          |   12 +--
 R/make_forecasts.calibration_simplex.R |   18 ++---
 R/plot.calibration_simplex.R           |   16 +++--
 README.md                              |only
 data                                   |only
 man/calibration_simplex.Rd             |   76 ++++++++++++++++--------
 man/plot.calibration_simplex.Rd        |   11 ++-
 man/ternary_forecast_example.Rd        |only
 14 files changed, 207 insertions(+), 129 deletions(-)

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New package mastif with initial version 1.0
Package: mastif
Type: Package
Title: Mast Inference and Forecasting
Version: 1.0
Date: 2019-5-13
Author: James S. Clark
Maintainer: James S. Clark <jimclark@duke.edu>
Description: Analyzes production and dispersal of seeds dispersed from trees and recovered in seed traps. Motivated by long-term inventory plots where seed collections are used to infer seed production by each individual plant.
License: GPL (>= 2)
Imports: Rcpp (>= 0.11.5), RANN, corrplot, xtable, repmis
Depends: R (>= 2.10)
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
Suggests: knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-05-18 15:57:46 UTC; jimclark
Repository: CRAN
Date/Publication: 2019-05-20 10:20:04 UTC

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New package tidycode with initial version 0.1.0
Package: tidycode
Type: Package
Title: Analyze Lines of R Code the Tidy Way
Version: 0.1.0
Authors@R: c( person("Lucy", "D'Agostino McGowan", email = "lucydagostino@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7297-9359")), person("Jim", "Hester", email = "james.f.hester@gmail.com", role = "ctb"), person("Jeff", "Leek", email = "jtleek@gmail.com", role = c("ldr")) )
Description: Analyze lines of R code using tidy principles. This allows you to input lines of R code and output a data frame with one row per function included. Additionally, it facilitates code classification via included lexicons.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: purrr, pryr, tibble, rlang, glue, matahari
URL: https://github.com/LucyMcGowan/tidycode
BugReports: https://github.com/LucyMcGowan/tidycode/issues
Suggests: testthat, covr, knitr, rmarkdown, dplyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-17 23:52:37 UTC; lucymcgowan
Author: Lucy D'Agostino McGowan [aut, cre] (<https://orcid.org/0000-0001-7297-9359>), Jim Hester [ctb], Jeff Leek [ldr]
Maintainer: Lucy D'Agostino McGowan <lucydagostino@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-20 09:10:03 UTC

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New package fgeo.plot with initial version 1.1.6
Package: fgeo.plot
Title: Plot ForestGEO Data
Version: 1.1.6
Authors@R: c(person(given = "Mauro", family = "Lepore", role = c("aut", "ctr", "cre"), email = "leporem@si.edu", comment = c(ORCID = "0000-0002-1986-7988")), person(given = "CTFS-ForestGEO", role = c("cph", "fnd"), email = "ForestGEO@si.edu"))
Description: To help you access, transform, analyze, and visualize ForestGEO data, we developed a collection of R packages (<https://forestgeo.github.io/fgeo/>). This package, in particular, helps you to plot ForestGEO data. To learn more about ForestGEO visit <http://www.forestgeo.si.edu/>.
License: GPL-3
URL: https://github.com/forestgeo/fgeo.plot, https://forestgeo.github.io/fgeo.plot/
BugReports: https://github.com/forestgeo/fgeo.plot/issues
Depends: R (>= 3.2)
Imports: dplyr (>= 0.8.0.1), fgeo.tool (>= 1.2.4), ggplot2 (>= 3.1.1), ggrepel (>= 0.8.1), glue (>= 1.3.1), magrittr (>= 1.5), purrr (>= 0.3.2), rlang (>= 0.3.4), stats, stringr (>= 1.4.0)
Suggests: covr (>= 3.2.1), fgeo.x (>= 1.1.3), gridExtra (>= 2.3), knitr (>= 1.22), rmarkdown (>= 1.12), spelling (>= 2.1), testthat (>= 2.1.1)
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-17 21:03:14 UTC; LeporeM
Author: Mauro Lepore [aut, ctr, cre] (<https://orcid.org/0000-0002-1986-7988>), CTFS-ForestGEO [cph, fnd]
Maintainer: Mauro Lepore <leporem@si.edu>
Repository: CRAN
Date/Publication: 2019-05-20 09:10:07 UTC

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New package cleancall with initial version 0.1.0
Package: cleancall
Title: C Resource Cleanup via Exit Handlers
Version: 0.1.0
Authors@R: c( person("Lionel", "Henry", ,"lionel@rstudio.com", c("aut")), person("Gábor", "Csárdi", role = c("aut", "cre"), email = "csardi.gabor@gmail.com", comment = c(ORCID = "0000-0001-7098-9676")), person("RStudio", role = "cph") )
Description: Wrapper of .Call() that runs exit handlers to clean up C resources. Helps managing C (non-R) resources while using the R API.
URL: https://github.com/r-lib/cleancall#readme
BugReports: https://github.com/r-lib/cleancall/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: covr, testthat
Depends: R (>= 3.1)
NeedsCompilation: yes
Packaged: 2019-05-17 17:00:20 UTC; gaborcsardi
Author: Lionel Henry [aut], Gábor Csárdi [aut, cre] (<https://orcid.org/0000-0001-7098-9676>), RStudio [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-20 10:00:04 UTC

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New package semTable with initial version 1.3
Package: semTable
Type: Package
Title: Structural Equation Modeling Tables
Version: 1.3
Date: 2019-05-17
Authors@R: c(person("Paul","Johnson",email="pauljohn@ku.edu",role = c("aut", "cre")), person("Benjamin","Kite",email="bakite@ku.edu",role="aut"))
Maintainer: Paul Johnson <pauljohn@ku.edu>
Description: For confirmatory factor analysis ('CFA') and structural equation models ('SEM') estimated with the 'lavaan' package, this package provides functions to create model summary tables and model comparison tables for hypothesis testing. Tables can be produced in 'LaTeX', 'HTML', or comma separated variables ('CSV').
License: GPL-2
Depends: R (>= 3.0)
Imports: stats, utils, kutils, xtable, lavaan, plyr, stationery
Suggests: rockchalk
RoxygenNote: 6.1.1
LazyData: TRUE
VignetteBuilder: stationery
NeedsCompilation: no
Packaged: 2019-05-17 16:59:21 UTC; pauljohn
Author: Paul Johnson [aut, cre], Benjamin Kite [aut]
Repository: CRAN
Date/Publication: 2019-05-20 08:30:03 UTC

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New package recorder with initial version 0.8.0
Package: recorder
Title: Toolkit to Validate New Data for a Predictive Model
Version: 0.8.0
Authors@R: person(given = "Lars", family = "Kjeldgaard", role = c("aut", "cre"), email = "lars_kjeldgaard@hotmail.com")
Description: A lightweight toolkit to validate new observations when computing their predictions with a predictive model. The validation process consists of two steps: (1) record relevant statistics and meta data of the variables in the original training data for the predictive model and (2) use these data to run a set of basic validation tests on the new set of observations.
URL: https://github.com/smaakage85/recorder
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: data.table, crayon
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-14 14:40:26 UTC; w19799
Author: Lars Kjeldgaard [aut, cre]
Maintainer: Lars Kjeldgaard <lars_kjeldgaard@hotmail.com>
Repository: CRAN
Date/Publication: 2019-05-20 08:10:03 UTC

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New package peRspective with initial version 0.1.0
Package: peRspective
Title: Interface to the 'Perspective' API
Version: 0.1.0
Authors@R: person("Fabio", "Votta", email = "fabio.votta@gmail.com", role = c("aut", "cre"))
Description: Interface to the 'Perspective' API, which can be found at the following URL: <https://github.com/conversationai/perspectiveapi#perspective-comment-analyzer-api>. The 'Perspective' API uses machine learning models to score the perceived impact a comment might have on a conversation (i.e. TOXICITY, INFLAMMATORY, etc.). 'peRspective' provides access to the API and returns tidy data frames with results of the specified machine learning model(s).
URL: https://github.com/favstats/peRspective
BugReports: https://github.com/favstats/peRspective
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: crayon, dplyr, glue, httr, jsonlite, magrittr, purrr, rlang, rlist, stringr, tibble
Suggests: testthat (>= 2.1.0), covr, badger
NeedsCompilation: no
Packaged: 2019-05-17 18:00:46 UTC; fabio
Author: Fabio Votta [aut, cre]
Maintainer: Fabio Votta <fabio.votta@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-20 08:40:02 UTC

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New package mc.heterogeneity with initial version 0.1.0
Package: mc.heterogeneity
Type: Package
Title: A Monte Carlo Based Heterogeneity Test for Meta-Analysis
Version: 0.1.0
Author: Han Du <hdu@psych.ucla.edu>, Zijun Ke <keziyun@mail.sysu.edu.cn>, Ge Jiang <gejiang2@illinois.edu>
Maintainer: Ge Jiang <gejiang2@illinois.edu>
Description: Implements a Monte Carlo Based Heterogeneity Test for standardized mean differences (d), Fisher-transformed Pearson's correlations (r), and natural-logarithm-transformed odds ratio (OR) in Meta-Analysis Studies. Depending on the presence of moderators, this Monte Carlo Based Test can be implemented in the random or mixed-effects model. This package uses rma() function from the R package 'metafor' to obtain parameter estimates and likelihood, so installation of R package 'metafor' is required.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 3.1.0)
Imports: stats, metafor, utils
Suggests: base, HSAUR2, roxygen2, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-17 18:45:01 UTC; gejiang
Repository: CRAN
Date/Publication: 2019-05-20 08:50:26 UTC

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New package fgeo.analyze with initial version 1.1.10
Package: fgeo.analyze
Title: Analyze ForestGEO Data
Version: 1.1.10
Authors@R: c(person(given = "Mauro", family = "Lepore", role = c("aut", "ctr", "cre"), email = "leporem@si.edu", comment = c(ORCID = "0000-0002-1986-7988")), person(given = "Gabriel", family = "Arellano", role = c("aut", "rev"), email = "gabriel.arellano.torres@gmail.com"), person(given = "Richard", family = "Condit", role = "aut", email = "richardcondit@gmail.com"), person(given = "Matteo", family = "Detto", role = "aut", email = "teoparaglider@gmail.com"), person(given = "Kyle", family = "Harms", role = "aut", email = " kharms@lsu.edu"), person(given = "Suzanne", family = "Lao", role = c("aut", "rev"), email = "laoz@si.edu"), person(given = "KangMin", family = "Ngo", role = "rev", email = "ngokangmin@gmail.com"), person(given = "Haley", family = "Overstreet", role = "rev", email = "OverstreetH@si.edu"), person(given = "Sabrina", family = "Russo", role = c("aut", "rev"), email = "srusso2@unl.edu"), person(given = "Daniel", family = "Zuleta", role = c("aut", "rev"), email = "dfzuleta@gmail.com"), person(given = "CTFS-ForestGEO", role = "cph", email = "ForestGEO@si.edu"))
Description: To help you access, transform, analyze, and visualize ForestGEO data, we developed a collection of R packages (<https://forestgeo.github.io/fgeo/>). This package, in particular, helps you to implement analyses of plot species distributions, topography, demography, and biomass. It also includes a torus translation test to determine habitat associations of tree species as described by Zuleta et al. (2018) <doi:10.1007/s11104-018-3878-0>. To learn more about ForestGEO visit <http://www.forestgeo.si.edu/>.
License: GPL-3
URL: https://github.com/forestgeo/fgeo.analyze
BugReports: https://github.com/forestgeo/fgeo.analyze/issues
Depends: R (>= 3.2)
Imports: dplyr (>= 0.8.0.1), fgeo.tool (>= 1.2.4), glue (>= 1.3.1), graphics, lubridate (>= 1.7.4), magrittr (>= 1.5), MASS, purrr (>= 0.3.2), rlang (>= 0.3.4), stats, tibble (>= 2.1.1), tidyr (>= 0.8.3), withr (>= 2.1.2)
Suggests: covr (>= 3.2.1), fgeo.x (>= 1.1.3), ggplot2 (>= 3.1.1), knitr (>= 1.22), measurements (>= 1.3.0), readr (>= 1.3.1), rmarkdown (>= 1.12), spelling (>= 2.1), testthat (>= 2.1.1)
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-17 20:40:08 UTC; LeporeM
Author: Mauro Lepore [aut, ctr, cre] (<https://orcid.org/0000-0002-1986-7988>), Gabriel Arellano [aut, rev], Richard Condit [aut], Matteo Detto [aut], Kyle Harms [aut], Suzanne Lao [aut, rev], KangMin Ngo [rev], Haley Overstreet [rev], Sabrina Russo [aut, rev], Daniel Zuleta [aut, rev], CTFS-ForestGEO [cph]
Maintainer: Mauro Lepore <leporem@si.edu>
Repository: CRAN
Date/Publication: 2019-05-20 09:00:03 UTC

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New package algaeClassify with initial version 0.1.0
Package: algaeClassify
Title: Determine Phytoplankton Functional Groups Based on Functional Traits
Version: 0.1.0
Date: 2019-05-16
Authors@R: c(person("Vijay","Patil",email="vpatil@usgs.gov",role=c("aut","cre")), person("Torsten","Seltmann",role="aut"), person("Nico","Salmaso",role="ctb"), person("Orlane","Anneville",role="ctb"), person("Marc","Lajeunesse",role="ctb"))
Author: Vijay Patil [aut, cre], Torsten Seltmann [aut], Nico Salmaso [ctb], Orlane Anneville [ctb], Marc Lajeunesse [ctb]
Maintainer: Vijay Patil <vpatil@usgs.gov>
URL: http://github.com/vppatil/GEISHA_phytoplankton
BugReports: https://github.com/vppatil/GEISHA_phytoplankton/issues
Description: Functions designed to facilitate the assignment of morpho-functional group (MFG) classifications to phytoplankton species based on a combination of taxonomy (Class,Order) and a suite of 7 binomial functional traits. Classifications can also be made using only a species list and a database of trait-derived classifications included in the package. MFG classifications are derived from Salmaso et al. (2015) <doi:10.1111/fwb.12520> and this reference should be cited when using the package. The 'algaeClassify' package is a product of the GEISHA (Global Evaluation of the Impacts of Storms on freshwater Habitat and Structure of phytoplankton Assemblages), funded by CESAB (Centre for Synthesis and Analysis of Biodiversity) and the USGS John Wesley Powell Center, with data and other support provided by members of GLEON (Global Lake Ecology Observation Network). This software is preliminary or provisional and is subject to revision. It is being provided to meet the need for timely best science. The software has not received final approval by the U.S. Geological Survey (USGS). No warranty, expressed or implied, is made by the USGS or the U.S. Government as to the functionality of the software and related material nor shall the fact of release constitute any such warranty. The software is provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized on unauthorized use of the software.
Depends: R (>= 3.4.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-17 19:26:23 UTC; vpatil
Repository: CRAN
Date/Publication: 2019-05-20 08:51:00 UTC

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Package hexSticker updated to version 0.4.6 with previous version 0.4.5 dated 2019-01-10

Title: Create Hexagon Sticker in R
Description: Helper functions for creating reproducible hexagon sticker purely in R.
Author: Guangchuang Yu [aut, cre], Laurent Gatto [ctb], Johannes Rainer [ctb], Sebastian Gibb [ctb], Robert Corty [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between hexSticker versions 0.4.5 dated 2019-01-10 and 0.4.6 dated 2019-05-20

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 11 files changed, 146 insertions(+), 55 deletions(-)

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Package kmer updated to version 1.1.2 with previous version 1.1.1 dated 2019-03-15

Title: Fast K-Mer Counting and Clustering for Biological Sequence Analysis
Description: Contains tools for rapidly computing distance matrices and clustering large sequence datasets using fast alignment-free k-mer counting and recursive k-means partitioning. See Vinga and Almeida (2003) <doi:10.1093/bioinformatics/btg005> for a review of k-mer counting methods and applications for biological sequence analysis.
Author: Shaun Wilkinson [aut, cre]
Maintainer: Shaun Wilkinson <shaunpwilkinson@gmail.com>

Diff between kmer versions 1.1.1 dated 2019-03-15 and 1.1.2 dated 2019-05-20

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 6 files changed, 25 insertions(+), 19 deletions(-)

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Package gridGraphics updated to version 0.4-1 with previous version 0.4-0 dated 2019-05-06

Title: Redraw Base Graphics Using 'grid' Graphics
Description: Functions to convert a page of plots drawn with the 'graphics' package into identical output drawn with the 'grid' package. The result looks like the original 'graphics'-based plot, but consists of 'grid' grobs and viewports that can then be manipulated with 'grid' functions (e.g., edit grobs and revisit viewports).
Author: Paul Murrell [cre, aut], Zhijian Wen [aut]
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>

Diff between gridGraphics versions 0.4-0 dated 2019-05-06 and 0.4-1 dated 2019-05-20

 DESCRIPTION                   |    8 -
 MD5                           |    8 -
 R/axis.R                      |  316 ++++++++++++++++++++++++++++++++++++++++++
 R/mtext.R                     |   61 ++++++++
 inst/test-scripts/test-axis.R |   61 ++++----
 5 files changed, 417 insertions(+), 37 deletions(-)

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Package glmnet updated to version 2.0-18 with previous version 2.0-16 dated 2018-04-02

Title: Lasso and Elastic-Net Regularized Generalized Linear Models
Description: Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. Two recent additions are the multiple-response Gaussian, and the grouped multinomial regression. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the paper linked to via the URL below.
Author: Jerome Friedman [aut, cre], Trevor Hastie [aut, cre], Rob Tibshirani [aut, cre], Noah Simon [aut, ctb], Balasubramanian Narasimhan [aut, ctb], Junyang Qian [ctb]
Maintainer: Trevor Hastie <hastie@stanford.edu>

Diff between glmnet versions 2.0-16 dated 2018-04-02 and 2.0-18 dated 2019-05-20

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 glmnet-2.0-18/glmnet/R/cv.coxnet.R                 |   40 +++---
 glmnet-2.0-18/glmnet/R/cv.elnet.R                  |   18 +-
 glmnet-2.0-18/glmnet/R/cv.fishnet.R                |   18 +-
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Package digest updated to version 0.6.19 with previous version 0.6.18 dated 2018-10-10

Title: Create Compact Hash Digests of R Objects
Description: Implementation of a function 'digest()' for the creation of hash digests of arbitrary R objects (using the 'md5', 'sha-1', 'sha-256', 'crc32', 'xxhash', 'murmurhash' and 'spookyhash' algorithms) permitting easy comparison of R language objects, as well as functions such as'hmac()' to create hash-based message authentication code. Please note that this package is not meant to be deployed for cryptographic purposes for which more comprehensive (and widely tested) libraries such as 'OpenSSL' should be used.
Author: Dirk Eddelbuettel <edd@debian.org> with contributions by Antoine Lucas, Jarek Tuszynski, Henrik Bengtsson, Simon Urbanek, Mario Frasca, Bryan Lewis, Murray Stokely, Hannes Muehleisen, Duncan Murdoch, Jim Hester, Wush Wu, Qiang Kou, Thierry Onkelinx, Michel Lang, Viliam Simko, Kurt Hornik, Radford Neal, and Kendon Bell.
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between digest versions 0.6.18 dated 2018-10-10 and 0.6.19 dated 2019-05-20

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More information about digest at CRAN
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Package tidytransit updated to version 0.5.0 with previous version 0.4.0 dated 2019-04-16

Title: Read, Validate, Analyze, and Map Files in the General Transit Feed Specification
Description: Read General Transit Feed Specification (GTFS) zipfiles into a list of R dataframes. Perform validation of the data structure against the specification. Analyze the headways and frequencies at routes and stops. Create maps and perform spatial analysis on the routes and stops. Please see the GTFS documentation here for more detail: <http://gtfs.org/>.
Author: Flavio Poletti [aut], Tom Buckley [aut, cre], Danton Noriega-Goodwin [aut], Mark Padgham [aut], Angela Li [ctb], Elaine McVey [ctb], Charles Hans Thompson [ctb], Michael Sumner [ctb], Patrick Hausmann [ctb], Bob Rudis [ctb], Kearey Smith [ctb], Dave Vautin [ctb], Kyle Walker [ctb]
Maintainer: Tom Buckley <tom@tbuckl.com>

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Package EFDR updated to version 1.0 with previous version 0.1.1 dated 2015-04-04

Title: Wavelet-Based Enhanced FDR for Detecting Signals from Complete or Incomplete Spatially Aggregated Data
Description: Enhanced False Discovery Rate (EFDR) is a tool to detect anomalies in an image. The image is first transformed into the wavelet domain in order to decorrelate any noise components, following which the coefficients at each resolution are standardised. Statistical tests (in a multiple hypothesis testing setting) are then carried out to find the anomalies. The power of EFDR exceeds that of standard FDR, which would carry out tests on every wavelet coefficient: EFDR choose which wavelets to test based on a criterion described in Shen et al. (2002). The package also provides elementary tools to interpolate spatially irregular data onto a grid of the required size. The work is based on Shen, X., Huang, H.-C., and Cressie, N. 'Nonparametric hypothesis testing for a spatial signal.' Journal of the American Statistical Association 97.460 (2002): 1122-1140.
Author: Andrew Zammit-Mangion [aut, cre], Hsin-Cheng Huang [aut]
Maintainer: Andrew Zammit-Mangion <andrewzm@gmail.com>

Diff between EFDR versions 0.1.1 dated 2015-04-04 and 1.0 dated 2019-05-20

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Package ContourFunctions updated to version 0.1.1 with previous version 0.1.0 dated 2017-05-04

Title: Create Contour Plots from Data or a Function
Description: Provides functions for making contour plots. The contour plot can be created from grid data, a function, or a data set. If non-grid data is given, then a Gaussian process is fit to the data and used to create the contour plot.
Author: Collin Erickson [aut, cre]
Maintainer: Collin Erickson <collinberickson@gmail.com>

Diff between ContourFunctions versions 0.1.0 dated 2017-05-04 and 0.1.1 dated 2019-05-20

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Package broomExtra updated to version 0.0.3 with previous version 0.0.2 dated 2019-04-03

Title: Enhancements for 'broom' Package Family
Description: Collection of functions to assist 'broom' and 'broom.mixed' package-related data analysis workflows. In particular, the generic functions tidy(), glance(), and augment() choose appropriate S3 methods from these two packages depending on which package exports the needed method. Additionally, 'grouped_' variants of the generics provides a convenient way to execute functions across a combination of grouping variable(s) in a dataframe.
Author: Indrajeet Patil [aut, cre] (<https://orcid.org/0000-0003-1995-6531>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

Diff between broomExtra versions 0.0.2 dated 2019-04-03 and 0.0.3 dated 2019-05-20

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More information about broomExtra at CRAN
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