Mon, 22 Apr 2019

Package testthat updated to version 2.1.0 with previous version 2.0.1 dated 2018-10-13

Title: Unit Testing for R
Description: Software testing is important, but, in part because it is frustrating and boring, many of us avoid it. 'testthat' is a testing framework for R that is easy learn and use, and integrates with your existing 'workflow'.
Author: Hadley Wickham [aut, cre], RStudio [cph, fnd], R Core team [ctb] (Implementation of utils::recover())
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between testthat versions 2.0.1 dated 2018-10-13 and 2.1.0 dated 2019-04-22

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 testthat-2.1.0/testthat/NEWS.md                                      |  135 +++-
 testthat-2.1.0/testthat/R/auto-test.R                                |   10 
 testthat-2.1.0/testthat/R/capture-output.R                           |    4 
 testthat-2.1.0/testthat/R/compare.R                                  |    4 
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 testthat-2.1.0/testthat/R/example.R                                  |only
 testthat-2.1.0/testthat/R/expect-comparison.R                        |   28 
 testthat-2.1.0/testthat/R/expect-equality.R                          |   93 --
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 testthat-2.1.0/testthat/R/expect-known.R                             |   14 
 testthat-2.1.0/testthat/R/expect-length.R                            |    2 
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 testthat-2.1.0/testthat/R/expect-setequal.R                          |only
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 testthat-2.1.0/testthat/R/mock.R                                     |   79 +-
 testthat-2.1.0/testthat/R/old-school.R                               |   20 
 testthat-2.1.0/testthat/R/praise.R                                   |    4 
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 testthat-2.1.0/testthat/inst/doc/custom-expectation.R                |   16 
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 testthat-2.1.0/testthat/vignettes/custom-expectation.Rmd             |   23 
 177 files changed, 2136 insertions(+), 1490 deletions(-)

More information about testthat at CRAN
Permanent link

Package rcdd updated to version 1.2-2 with previous version 1.2 dated 2017-06-12

Title: Computational Geometry
Description: R interface to (some of) cddlib (<http://www.ifor.math.ethz.ch/~fukuda/cdd_home/cdd.html>). Converts back and forth between two representations of a convex polytope: as solution of a set of linear equalities and inequalities and as convex hull of set of points and rays. Also does linear programming and redundant generator elimination (for example, convex hull in n dimensions). All functions can use exact infinite-precision rational arithmetic.
Author: Charles J. Geyer <charlie@stat.umn.edu> and Glen D. Meeden <glen@stat.umn.edu>, incorporates code from cddlib (ver 0.94f) written by Komei Fukuda <fukuda@ifor.math.ethz.ch>
Maintainer: Charles J. Geyer <charlie@stat.umn.edu>

Diff between rcdd versions 1.2 dated 2017-06-12 and 1.2-2 dated 2019-04-22

 CHANGES               |    6 ++++++
 DESCRIPTION           |    8 ++++----
 MD5                   |   30 +++++++++++++++---------------
 build/vignette.rds    |binary
 inst/doc/vinny.pdf    |binary
 man/validcdd.Rd       |    2 +-
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 src/cddlp_f.c         |   10 ++++++----
 src/redund.c          |    2 +-
 src/redund_f.c        |    2 +-
 src/scdd.c            |    2 +-
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 src/setoper.c         |   23 +++++++++++++++++++----
 tests/arith.Rout.save |    7 +++----
 tests/lpcdd.R         |    4 ++++
 tests/lpcdd.Rout.save |   10 +++++++---
 16 files changed, 76 insertions(+), 44 deletions(-)

More information about rcdd at CRAN
Permanent link

Package oak updated to version 0.2.3 with previous version 0.2.1 dated 2018-11-06

Title: Trees Creation and Manipulation
Description: Functions and classes to create and manipulate trees and nodes.
Author: Paul Poncet [aut, cre]
Maintainer: Paul Poncet <paulponcet@yahoo.fr>

Diff between oak versions 0.2.1 dated 2018-11-06 and 0.2.3 dated 2019-04-22

 DESCRIPTION      |   10 +++++-----
 MD5              |   30 +++++++++++++++---------------
 NAMESPACE        |    8 ++++----
 NEWS.md          |    5 ++++-
 R/ancestors.R    |    2 +-
 R/flatten.R      |    2 +-
 R/leaves.R       |    2 +-
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 R/reexports.R    |    8 ++++----
 R/siblings.R     |    2 +-
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 R/tree.R         |   23 +++++++++++++++++++++--
 R/tree_apply.R   |    6 +++---
 README.md        |    3 +--
 man/reexports.Rd |    3 ---
 man/rtree.Rd     |   10 ++++++++--
 16 files changed, 74 insertions(+), 50 deletions(-)

More information about oak at CRAN
Permanent link

Package tidyquant updated to version 0.5.6 with previous version 0.5.5 dated 2018-05-09

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

Diff between tidyquant versions 0.5.5 dated 2018-05-09 and 0.5.6 dated 2019-04-22

 DESCRIPTION                                            |   12 
 MD5                                                    |   46 -
 NEWS.md                                                |    6 
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 inst/doc/TQ01-core-functions-in-tidyquant.html         |  429 ++++++------
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 inst/doc/TQ03-scaling-and-modeling-with-tidyquant.html |  241 +++----
 inst/doc/TQ04-charting-with-tidyquant.html             |   71 +-
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 man/deprecated.Rd                                      |    3 
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 24 files changed, 1003 insertions(+), 897 deletions(-)

More information about tidyquant at CRAN
Permanent link

New package MLRShiny with initial version 0.1.0
Package: MLRShiny
Type: Package
Title: Interactive Application for Working with Multiple Linear Regression
Version: 0.1.0
Author: Kartikeya Bolar
Maintainer: Kartikeya Bolar <kartikeya.bolar@tapmi.edu.in>
Description: An interactive application for working with multiple linear regression technique. The application has a template for solving problems on multiple linear regression. Runtime examples are provided in the package function as well as at <https://kartikeyastat.shinyapps.io/MLR_WEB_K/>.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.0.3)
Imports: shiny,shinyAce,dplyr,psych,QuantPsyc,forecast,corrgram
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-04-11 05:30:07 UTC; KARTIKEYA
Repository: CRAN
Date/Publication: 2019-04-22 19:20:03 UTC

More information about MLRShiny at CRAN
Permanent link

Package SamplingStrata updated to version 1.4-1 with previous version 1.4 dated 2019-01-02

Title: Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys
Description: In the field of stratified sampling design, this package offers an approach for the determination of the best stratification of a sampling frame, the one that ensures the minimum sample cost under the condition to satisfy precision constraints in a multivariate and multidomain case. This approach is based on the use of the genetic algorithm: each solution (i.e. a particular partition in strata of the sampling frame) is considered as an individual in a population; the fitness of all individuals is evaluated applying the Bethel-Chromy algorithm to calculate the sampling size satisfying precision constraints on the target estimates. Functions in the package allows to: (a) analyse the obtained results of the optimisation step; (b) assign the new strata labels to the sampling frame; (c) select a sample from the new frame accordingly to the best allocation. Functions for the execution of the genetic algorithm are a modified version of the functions in the 'genalg' package.
Author: Giulio Barcaroli, Marco Ballin, Hanjo Odendaal, Daniela Pagliuca, Egon Willighagen, Diego Zardetto
Maintainer: Giulio Barcaroli <gbarcaroli@gmail.com>

Diff between SamplingStrata versions 1.4 dated 2019-01-02 and 1.4-1 dated 2019-04-22

 DESCRIPTION                     |   31 
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Package randomForestSRC updated to version 2.9.0 with previous version 2.8.0 dated 2019-01-02

Title: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Description: Fast OpenMP parallel computing of Breiman's random forests for survival, competing risks, regression and classification based on Ishwaran and Kogalur's popular random survival forests (RSF) package. Handles missing data and now includes multivariate, unsupervised forests, quantile regression and solutions for class imbalanced data. New fast interface using subsampling and confidence regions for variable importance.
Author: Hemant Ishwaran <hemant.ishwaran@gmail.com>, Udaya B. Kogalur <ubk@kogalur.com>
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

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Package dqrng updated to version 0.2.0 with previous version 0.1.1 dated 2019-03-11

Title: Fast Pseudo Random Number Generators
Description: Several fast random number generators are provided as C++ header only libraries: The PCG family by O'Neill (2014 <https://www.cs.hmc.edu/tr/hmc-cs-2014-0905.pdf>) as well as Xoroshiro128+ and Xoshiro256+ by Blackman and Vigna (2018 <arXiv:1805.01407>). In addition fast functions for generating random numbers according to a uniform, normal and exponential distribution are included. The latter two use the Ziggurat algorithm originally proposed by Marsaglia and Tsang (2000, <doi:10.18637/jss.v005.i08>). These functions are exported to R and as a C++ interface and are enabled for use with the default 64 bit generator from the PCG family, Xoroshiro128+ and Xoshiro256+ as well as the 64 bit version of the 20 rounds Threefry engine (Salmon et al., 2011 <doi:10.1145/2063384.2063405>) as provided by the package 'sitmo'.
Author: Ralf Stubner [aut, cre], daqana GmbH [cph], David Blackman [ctb], Melissa O'Neill [ctb], Sebastiano Vigna [ctb], Aaron Lun [ctb]
Maintainer: Ralf Stubner <ralf.stubner@daqana.com>

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Package taxonomizr updated to version 0.5.3 with previous version 0.5.1 dated 2018-08-31

Title: Functions to Work with NCBI Accessions and Taxonomy
Description: Functions for assigning taxonomy to NCBI accession numbers and taxon IDs based on NCBI's accession2taxid and taxdump files. This package allows the user to downloads NCBI data dumps and create a local database for fast and local taxonomic assignment.
Author: Scott Sherrill-Mix [aut, cre]
Maintainer: Scott Sherrill-Mix <shescott@upenn.edu>

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Package subtee updated to version 0.3-5 with previous version 0.3-4 dated 2019-01-07

Title: Subgroup Treatment Effect Estimation in Clinical Trials
Description: Naive and adjusted treatment effect estimation for subgroups. Model averaging (Bornkamp et.al, 2016 <doi:10.1002/pst.1796>) and bagging (Rosenkranz, 2016 <doi:10.1002/bimj.201500147>) are proposed to address the problem of selection bias in treatment effect estimates for subgroups. The package can be used for all commonly encountered type of outcomes in clinical trials (continuous, binary, survival, count). Additional functions are provided to build the subgroup variables to be used and to plot the results using forest plots.
Author: Nicolas Ballarini [aut, cre], Bjoern Bornkamp [aut], Marius Thomas [aut, cre], Baldur Magnusson [ctb]
Maintainer: Nicolas Ballarini <nicolas.ballarini@meduniwien.ac.at>

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Package shiny updated to version 1.3.2 with previous version 1.3.1 dated 2019-04-12

Title: Web Application Framework for R
Description: Makes it incredibly easy to build interactive web applications with R. Automatic "reactive" binding between inputs and outputs and extensive prebuilt widgets make it possible to build beautiful, responsive, and powerful applications with minimal effort.
Author: Winston Chang [aut, cre], Joe Cheng [aut], JJ Allaire [aut], Yihui Xie [aut], Jonathan McPherson [aut], RStudio [cph], jQuery Foundation [cph] (jQuery library and jQuery UI library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/www/shared/jquery-AUTHORS.txt), jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in inst/www/shared/jqueryui/AUTHORS.txt), Mark Otto [ctb] (Bootstrap library), Jacob Thornton [ctb] (Bootstrap library), Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library), Alexander Farkas [ctb, cph] (html5shiv library), Scott Jehl [ctb, cph] (Respond.js library), Stefan Petre [ctb, cph] (Bootstrap-datepicker library), Andrew Rowls [ctb, cph] (Bootstrap-datepicker library), Dave Gandy [ctb, cph] (Font-Awesome font), Brian Reavis [ctb, cph] (selectize.js library), Kristopher Michael Kowal [ctb, cph] (es5-shim library), es5-shim contributors [ctb, cph] (es5-shim library), Denis Ineshin [ctb, cph] (ion.rangeSlider library), Sami Samhuri [ctb, cph] (Javascript strftime library), SpryMedia Limited [ctb, cph] (DataTables library), John Fraser [ctb, cph] (showdown.js library), John Gruber [ctb, cph] (showdown.js library), Ivan Sagalaev [ctb, cph] (highlight.js library), R Core Team [ctb, cph] (tar implementation from R)
Maintainer: Winston Chang <winston@rstudio.com>

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Package sdnet updated to version 2.4.0 with previous version 2.3.8 dated 2016-05-09

Title: Soft-Discretization-Based Bayesian Network Inference
Description: Fitting discrete Bayesian networks using soft-discretized data. Soft-discretization is based on mixture of normal distributions. Also implemented is a supervised Bayesian network learning employing Kullback-Leibler divergence. For more information see Balov (2013) <DOI:10.1186/1755-8794-6-S3-S1>.
Author: Nikolay Balov
Maintainer: Nikolay Balov <nhbalov@gmail.com>

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Package quotedargs updated to version 0.1.3 with previous version 0.1.2 dated 2018-03-26

Title: A Way of Writing Functions that Quote their Arguments
Description: A facility for writing functions that quote their arguments, may sometimes evaluate them in the environment where they were quoted, and may pass them as quoted to other functions.
Author: Radford Neal
Maintainer: Radford Neal <radfordneal@gmail.com>

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Package plothelper updated to version 0.1.1 with previous version 0.1.0 dated 2019-04-07

Title: New Plots Based on 'ggplot2' and Functions to Create Regular Shapes
Description: An extension to 'ggplot2' with miscellaneous functions. It contains two groups of functions: Functions in the first group draw 'ggplot2' - based plots: gg_shading_bar() draws barplot with shading colors in each bar. geom_rect_cm(), geom_circle_cm() and geom_ellipse_cm() draw rectangles, circles and ellipses with centimeter as their unit. Thus their sizes do not change when the coordinate system or the aspect ratio changes. Functions in the second group generate coordinates for regular shapes and make linear transformations.
Author: Jiang Wu [aut, cre] (from Capital Normal University)
Maintainer: Jiang Wu <textidea@sina.com>

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Package FedData updated to version 2.5.7 with previous version 2.5.6 dated 2019-01-11

Title: Functions to Automate Downloading Geospatial Data Available from Several Federated Data Sources
Description: Functions to automate downloading geospatial data available from several federated data sources (mainly sources maintained by the US Federal government). Currently, the package enables extraction from seven datasets: The National Elevation Dataset digital elevation models (1 and 1/3 arc-second; USGS); The National Hydrography Dataset (USGS); The Soil Survey Geographic (SSURGO) database from the National Cooperative Soil Survey (NCSS), which is led by the Natural Resources Conservation Service (NRCS) under the USDA; the Global Historical Climatology Network (GHCN), coordinated by National Climatic Data Center at NOAA; the Daymet gridded estimates of daily weather parameters for North America, version 3, available from the Oak Ridge National Laboratory's Distributed Active Archive Center (DAAC); the International Tree Ring Data Bank; and the National Land Cover Database (NLCD).
Author: R. Kyle Bocinsky [aut, cre], Dylan Beaudette [ctb], Scott Chamberlain [ctb]
Maintainer: R. Kyle Bocinsky <bocinsky@gmail.com>

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Package crch updated to version 1.0-2 with previous version 1.0-1 dated 2018-01-23

Title: Censored Regression with Conditional Heteroscedasticity
Description: Different approaches to censored or truncated regression with conditional heteroscedasticity are provided. First, continuous distributions can be used for the (right and/or left censored or truncated) response with separate linear predictors for the mean and variance. Second, cumulative link models for ordinal data (obtained by interval-censoring continuous data) can be employed for heteroscedastic extended logistic regression (HXLR). In the latter type of models, the intercepts depend on the thresholds that define the intervals.
Author: Jakob Messner [aut, cre] (<https://orcid.org/0000-0002-1027-3673>), Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>), Reto Stauffer [aut] (<https://orcid.org/0000-0002-3798-5507>)
Maintainer: Jakob Messner <jwmm@elektro.dtu.dk>

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Package onlineVAR (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:

2018-02-26 0.1-0

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Package ensemblepp (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:

2017-09-20 0.1-0

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Package GGMselect updated to version 0.1-12.2 with previous version 0.1-12.1 dated 2018-02-01

Title: Gaussian Graphs Models Selection
Description: Graph estimation in Gaussian Graphical Models. The main functions return the adjacency matrix of an undirected graph estimated from a data matrix.
Author: Annie Bouvier, Christophe Giraud, Sylvie Huet, Verzelen N.
Maintainer: ORPHANED

Diff between GGMselect versions 0.1-12.1 dated 2018-02-01 and 0.1-12.2 dated 2019-04-22

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Package fpc updated to version 2.1-11.2 with previous version 2.1-11.1 dated 2018-07-20

Title: Flexible Procedures for Clustering
Description: Various methods for clustering and cluster validation. Fixed point clustering. Linear regression clustering. Clustering by merging Gaussian mixture components. Symmetric and asymmetric discriminant projections for visualisation of the separation of groupings. Cluster validation statistics for distance based clustering including corrected Rand index. Cluster-wise cluster stability assessment. Methods for estimation of the number of clusters: Calinski-Harabasz, Tibshirani and Walther's prediction strength, Fang and Wang's bootstrap stability. Gaussian/multinomial mixture fitting for mixed continuous/categorical variables. Variable-wise statistics for cluster interpretation. DBSCAN clustering. Interface functions for many clustering methods implemented in R, including estimating the number of clusters with kmeans, pam and clara. Modality diagnosis for Gaussian mixtures. For an overview see package?fpc.
Author: Christian Hennig <c.hennig@ucl.ac.uk>
Maintainer: ORPHANED

Diff between fpc versions 2.1-11.1 dated 2018-07-20 and 2.1-11.2 dated 2019-04-22

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Package TSSS updated to version 1.2.4 with previous version 1.2.3 dated 2019-04-15

Title: Time Series Analysis with State Space Model
Description: Functions for statistical analysis, modeling and simulation of time series with state space model, based on the methodology in Kitagawa (1993, ISBN: 4-00-007703-1 and 2005, ISBN: 4-00-005455-4).
Author: The Institute of Statistical Mathematics, based on the program by Genshiro Kitagawa
Maintainer: Masami Saga <msaga@mtb.biglobe.ne.jp>

Diff between TSSS versions 1.2.3 dated 2019-04-15 and 1.2.4 dated 2019-04-22

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Package FSelectorRcpp updated to version 0.3.1 with previous version 0.3.0 dated 2018-11-12

Title: 'Rcpp' Implementation of 'FSelector' Entropy-Based Feature Selection Algorithms with a Sparse Matrix Support
Description: 'Rcpp' (free of 'Java'/'Weka') implementation of 'FSelector' entropy-based feature selection algorithms based on an MDL discretization (Fayyad U. M., Irani K. B.: Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning. In 13'th International Joint Conference on Uncertainly in Artificial Intelligence (IJCAI93), pages 1022-1029, Chambery, France, 1993.) <https://www.ijcai.org/Proceedings/93-2/Papers/022.pdf> with a sparse matrix support. It is also equipped with a parallel backend.
Author: Zygmunt Zawadzki [aut, cre], Marcin Kosinski [aut], Krzysztof Slomczynski [ctb], Damian Skrzypiec [ctb]
Maintainer: Zygmunt Zawadzki <zygmunt@zstat.pl>

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Package DepthProc updated to version 2.1.1 with previous version 2.0.4 dated 2018-09-02

Title: Statistical Depth Functions for Multivariate Analysis
Description: Data depth concept offers a variety of powerful and user friendly tools for robust exploration and inference for multivariate data. The offered techniques may be successfully used in cases of lack of our knowledge on parametric models generating data due to their nature. The package consist of among others implementations of several data depth techniques involving multivariate quantile-quantile plots, multivariate scatter estimators, multivariate Wilcoxon tests and robust regressions.
Author: Zygmunt Zawadzki [aut, cre], Daniel Kosiorowski [aut], Krzysztof Slomczynski [ctb], Mateusz Bocian [ctb], Anna Wegrzynkiewicz [ctb]
Maintainer: Zygmunt Zawadzki <zygmunt@zstat.pl>

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Package multimark updated to version 2.1.0 with previous version 2.0.1 dated 2017-06-30

Title: Capture-Mark-Recapture Analysis using Multiple Non-Invasive Marks
Description: Traditional and spatial capture-mark-recapture analysis with multiple non-invasive marks. The models implemented in 'multimark' combine encounter history data arising from two different non-invasive ``marks'', such as images of left-sided and right-sided pelage patterns of bilaterally asymmetrical species, to estimate abundance and related demographic parameters while accounting for imperfect detection. Bayesian models are specified using simple formulae and fitted using Markov chain Monte Carlo. Addressing deficiencies in currently available software, 'multimark' also provides a user-friendly interface for performing Bayesian multimodel inference using non-spatial or spatial capture-recapture data consisting of a single conventional mark or multiple non-invasive marks.
Author: Brett T. McClintock [aut, cre], Acho Arnold [ctb, cph] (C original matrix library, https://github.com/najela/matrix.h), Barry Brown [ctb] (Fortran original ranlib library), James Lovato [ctb] (Fortran original ranlib library), John Burkardt [ctb] (C original ranlib library, http://people.sc.fsu.edu/~jburkardt/c_src/ranlib), Cleve Moler [ctb] (C original linpack library, http://www.kkant.net/geist/ranlib/), Arjun Gopalaswamy [ctb] (modified snippets of R package SPACECAP code)
Maintainer: Brett T. McClintock <brett.mcclintock@noaa.gov>

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Package Rramas updated to version 0.1-6 with previous version 0.1-5 dated 2017-11-24

Title: Matrix Population Models
Description: Analyzes and predicts from matrix population models (Caswell 2006) <doi:10.1002/9781118445112.stat07481>.
Author: Marcelino de la Cruz
Maintainer: Marcelino de la Cruz <marcelino.delacruz@urjc.es>

Diff between Rramas versions 0.1-5 dated 2017-11-24 and 0.1-6 dated 2019-04-22

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Package DDD updated to version 4.0 with previous version 3.9 dated 2019-03-19

Title: Diversity-Dependent Diversification
Description: Implements maximum likelihood and bootstrap methods based on the diversity-dependent birth-death process to test whether speciation or extinction are diversity-dependent, under various models including various types of key innovations. See Etienne et al. 2012, Proc. Roy. Soc. B 279: 1300-1309, <DOI:10.1098/rspb.2011.1439>, Etienne & Haegeman 2012, Am. Nat. 180: E75-E89, <DOI:10.1086/667574> and Etienne et al. 2016. Meth. Ecol. Evol. 7: 1092-1099, <DOI:10.1111/2041-210X.12565>. Also contains functions to simulate the diversity-dependent process.
Author: Rampal S. Etienne & Bart Haegeman
Maintainer: Rampal S. Etienne <r.s.etienne@rug.nl>

Diff between DDD versions 3.9 dated 2019-03-19 and 4.0 dated 2019-04-22

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Package harvestr (with last version 0.7.1) was removed from CRAN

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

2016-08-29 0.7.1
2016-07-21 0.7.0
2014-05-27 0.6.0
2013-09-13 0.5.2
2012-06-23 0.5.1
2012-06-09 0.4
2012-05-04 0.3
2012-03-13 0.1

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Package pstest (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:

2016-11-21 0.1.1

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Package RGtk2Extras (with last version 0.6.1) was removed from CRAN

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

2012-10-23 0.6.1

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Package R2STATS (with last version 0.68-39) was removed from CRAN

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

2018-12-08 0.68-39

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

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

2018-09-16 1.0

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

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

2015-01-12 1.0

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Package conditions (with last version 0.1) was removed from CRAN

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

2017-01-18 0.1

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Package MenuCollection (with last version 1.2) was removed from CRAN

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

2015-01-21 1.2
2015-01-05 1.1
2014-12-17 1.0

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Package Zelig updated to version 5.1.6.1 with previous version 5.1.6 dated 2018-02-27

Title: Everyone's Statistical Software
Description: A framework that brings together an abundance of common statistical models found across packages into a unified interface, and provides a common architecture for estimation and interpretation, as well as bridging functions to absorb increasingly more models into the package. Zelig allows each individual package, for each statistical model, to be accessed by a common uniformly structured call and set of arguments. Moreover, Zelig automates all the surrounding building blocks of a statistical work-flow--procedures and algorithms that may be essential to one user's application but which the original package developer did not use in their own research and might not themselves support. These include bootstrapping, jackknifing, and re-weighting of data. In particular, Zelig automatically generates predicted and simulated quantities of interest (such as relative risk ratios, average treatment effects, first differences and predicted and expected values) to interpret and visualize complex models.
Author: Christine Choirat [aut], Christopher Gandrud [aut, cre], James Honaker [aut], Kosuke Imai [aut], Gary King [aut], Olivia Lau [aut], IQSS Harvard University [cph]
Maintainer: Christopher Gandrud <zelig.zee@gmail.com>

Diff between Zelig versions 5.1.6 dated 2018-02-27 and 5.1.6.1 dated 2019-04-22

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Package virtualspecies updated to version 1.4-4.1 with previous version 1.4-4 dated 2018-09-10

Title: Generation of Virtual Species Distributions
Description: Provides a framework for generating virtual species distributions, a procedure increasingly used in ecology to improve species distribution models. This package integrates the existing methodological approaches with the objective of generating virtual species distributions with increased ecological realism.
Author: Boris Leroy [cre, aut], Christine N. Meynard [ctb], Celine Bellard [ctb], Franck Courchamp [ctb], Robin Delsol [ctb], Willson Gaul [ctb]
Maintainer: Boris Leroy <leroy.boris@gmail.com>

Diff between virtualspecies versions 1.4-4 dated 2018-09-10 and 1.4-4.1 dated 2019-04-22

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Package Smisc updated to version 0.3.9.1 with previous version 0.3.9 dated 2017-11-21

Title: Sego Miscellaneous
Description: A collection of functions for statistical computing and data manipulation in R. Includes routines for data ingestion, operating on dataframes and matrices, conversion to and from lists, converting factors, filename manipulation, programming utilities, parallelization, plotting, statistical and mathematical operations, and time series.
Author: Landon Sego [aut, cre]
Maintainer: Landon Sego <LHS@byu.net>

Diff between Smisc versions 0.3.9 dated 2017-11-21 and 0.3.9.1 dated 2019-04-22

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Package robustloggamma updated to version 1.0-2.1 with previous version 1.0-2 dated 2016-05-16

Title: Robust Estimation of the Generalized log Gamma Model
Description: Robust estimation of the generalized log gamma model is provided using Quantile Tau estimator, Weighted Likelihood estimator and Truncated Maximum Likelihood estimator. Functions for regression and censored data are also available.
Author: Claudio Agostinelli <claudio.agostinelli@unitn.it>, Alfio Marazzi <Alfio.Marazzi@chuv.ch>, Victor Yohai <vyohai@uolsinectis.com.ar> and Alex Randriamiharisoa <Alex.Randriamiharisoa@chuv.ch>
Maintainer: Claudio Agostinelli <claudio.agostinelli@unitn.it>

Diff between robustloggamma versions 1.0-2 dated 2016-05-16 and 1.0-2.1 dated 2019-04-22

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Package rms updated to version 5.1-3.1 with previous version 5.1-3 dated 2019-01-27

Title: Regression Modeling Strategies
Description: Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.
Author: Frank E Harrell Jr <f.harrell@vanderbilt.edu>
Maintainer: Frank E Harrell Jr <f.harrell@vanderbilt.edu>

Diff between rms versions 5.1-3 dated 2019-01-27 and 5.1-3.1 dated 2019-04-22

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Package pamr updated to version 1.56.1 with previous version 1.56 dated 2019-02-01

Title: Pam: Prediction Analysis for Microarrays
Description: Some functions for sample classification in microarrays.
Author: T. Hastie, R. Tibshirani, Balasubramanian Narasimhan, Gil Chu
Maintainer: Rob Tibshirani <tibs@stanford.edu>

Diff between pamr versions 1.56 dated 2019-02-01 and 1.56.1 dated 2019-04-22

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Package LCA updated to version 0.1.1 with previous version 0.1 dated 2013-09-30

Title: Localised Co-Dependency Analysis
Description: Performs model fitting and significance estimation for Localised Co-Dependency between pairs of features of a numeric dataset.
Author: Ed Curry [aut, cre]
Maintainer: Ed Curry <e.curry@imperial.ac.uk>

Diff between LCA versions 0.1 dated 2013-09-30 and 0.1.1 dated 2019-04-22

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Package jmv updated to version 0.9.6.1 with previous version 0.9.6 dated 2018-12-11

Title: The 'jamovi' Analyses
Description: A suite of common statistical methods such as descriptives, t-tests, ANOVAs, regression, correlation matrices, proportion tests, contingency tables, and factor analysis. This package is also useable from the 'jamovi' statistical spreadsheet (see <https://www.jamovi.org> for more information).
Author: Ravi Selker, Jonathon Love, Damian Dropmann
Maintainer: Jonathon Love <jon@thon.cc>

Diff between jmv versions 0.9.6 dated 2018-12-11 and 0.9.6.1 dated 2019-04-22

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Package infer updated to version 0.4.0.1 with previous version 0.4.0 dated 2018-11-15

Title: Tidy Statistical Inference
Description: The objective of this package is to perform inference using an expressive statistical grammar that coheres with the tidy design framework.
Author: Andrew Bray [aut, cre], Chester Ismay [aut], Ben Baumer [aut], Mine Cetinkaya-Rundel [aut], Evgeni Chasnovski [ctb], Ted Laderas [ctb], Nick Solomon [ctb], Johanna Hardin [ctb], Albert Y. Kim [ctb], Neal Fultz [ctb], Doug Friedman [ctb], Richie Cotton [ctb], Brian Fannin [ctb]
Maintainer: Andrew Bray <abray@reed.edu>

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Package igraph updated to version 1.2.4.1 with previous version 1.2.4 dated 2019-02-13

Title: Network Analysis and Visualization
Description: Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
Author: See AUTHORS file.
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between igraph versions 1.2.4 dated 2019-02-13 and 1.2.4.1 dated 2019-04-22

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Package genetics updated to version 1.3.8.1.2 with previous version 1.3.8.1.1 dated 2019-02-01

Title: Population Genetics
Description: Classes and methods for handling genetic data. Includes classes to represent genotypes and haplotypes at single markers up to multiple markers on multiple chromosomes. Function include allele frequencies, flagging homo/heterozygotes, flagging carriers of certain alleles, estimating and testing for Hardy-Weinberg disequilibrium, estimating and testing for linkage disequilibrium, ...
Author: Gregory Warnes, with contributions from Gregor Gorjanc, Friedrich Leisch, and Michael Man.
Maintainer: Gregory Warnes <greg@warnes.net>

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Package fields updated to version 9.6.1 with previous version 9.6 dated 2018-01-29

Title: Tools for Spatial Data
Description: For curve, surface and function fitting with an emphasis on splines, spatial data and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get started and for an overview. The fields source code is deliberately commented and provides useful explanations of numerical details as a companion to the manual pages. The commented source code can be viewed by expanding source code version and looking in the R subdirectory. The reference for fields can be generated by the citation function in R and has DOI <doi:10.5065/D6W957CT>.
Author: Douglas Nychka [aut, cre], Reinhard Furrer [aut], John Paige [aut], Stephan Sain [aut]
Maintainer: Douglas Nychka <douglasnychka@gmail.com>

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Package DiagrammeR updated to version 1.0.1 with previous version 1.0.0 dated 2018-03-01

Title: Graph/Network Visualization
Description: Build graph/network structures using functions for stepwise addition and deletion of nodes and edges. Work with data available in tables for bulk addition of nodes, edges, and associated metadata. Use graph selections and traversals to apply changes to specific nodes or edges. A wide selection of graph algorithms allow for the analysis of graphs. Visualize the graphs and take advantage of any aesthetic properties assigned to nodes and edges.
Author: Richard Iannone [aut, cre]
Maintainer: Richard Iannone <riannone@me.com>

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Package copula updated to version 0.999-19.1 with previous version 0.999-19 dated 2018-12-21

Title: Multivariate Dependence with Copulas
Description: Classes (S4) of commonly used elliptical, Archimedean, extreme-value and other copula families, as well as their rotations, mixtures and asymmetrizations. Nested Archimedean copulas, related tools and special functions. Methods for density, distribution, random number generation, bivariate dependence measures, Rosenblatt transform, Kendall distribution function, perspective and contour plots. Fitting of copula models with potentially partly fixed parameters, including standard errors. Serial independence tests, copula specification tests (independence, exchangeability, radial symmetry, extreme-value dependence, goodness-of-fit) and model selection based on cross-validation. Empirical copula, smoothed versions, and non-parametric estimators of the Pickands dependence function.
Author: Marius Hofert [aut] (<https://orcid.org/0000-0001-8009-4665>), Ivan Kojadinovic [aut] (<https://orcid.org/0000-0002-2903-1543>), Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Jun Yan [aut] (<https://orcid.org/0000-0003-4401-7296>), Johanna G. Nešlehová [ctb] (evTestK(), <https://orcid.org/0000-0001-9634-4796>)
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package archetypes updated to version 2.2-0.1 with previous version 2.2-0 dated 2014-04-10

Title: Archetypal Analysis
Description: The main function archetypes implements a framework for archetypal analysis supporting arbitrary problem solving mechanisms for the different conceptual parts of the algorithm.
Author: Manuel J. A. Eugster [aut, cre], Friedrich Leisch [aut], Sohan Seth [ctb]
Maintainer: Manuel J. A. Eugster <manuel@mjae.net>

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Package mpmi updated to version 0.43 with previous version 0.42 dated 2016-11-20

Title: Mixed-Pair Mutual Information Estimators
Description: Uses a kernel smoothing approach to calculate Mutual Information for comparisons between all types of variables including continuous vs continuous, continuous vs discrete and discrete vs discrete. Uses a nonparametric bias correction giving Bias Corrected Mutual Information (BCMI). Implemented efficiently in Fortran 95 with OpenMP and suited to large genomic datasets.
Author: Chris Pardy
Maintainer: Chris Pardy <cooliomcdude@gmail.com>

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Package demography updated to version 1.22 with previous version 1.21 dated 2019-01-18

Title: Forecasting Mortality, Fertility, Migration and Population Data
Description: Functions for demographic analysis including lifetable calculations; Lee-Carter modelling; functional data analysis of mortality rates, fertility rates, net migration numbers; and stochastic population forecasting.
Author: Rob J Hyndman with contributions from Heather Booth, Leonie Tickle and John Maindonald.
Maintainer: Rob J Hyndman <Rob.Hyndman@monash.edu>

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Package ezpickr updated to version 1.0.5 with previous version 1.0.4 dated 2019-03-23

Title: Easy Data Import Using GUI File Picker and Seamless Communication Between an Excel and R
Description: Choosing any rectangular data file using interactive GUI dialog box, and seamlessly manipulating tidy data between an 'Excel' window and R session.
Author: JooYoung Seo [aut, cre] (<https://orcid.org/0000-0002-4064-6012>), Soyoung Choi [aut] (<https://orcid.org/0000-0002-0998-3352>), hyun seung Lee [ctb], Jonghoen Kim [ctb]
Maintainer: JooYoung Seo <jooyoung@psu.edu>

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Package smapr updated to version 0.2.1 with previous version 0.2.0 dated 2018-09-24

Title: Acquisition and Processing of NASA Soil Moisture Active-Passive (SMAP) Data
Description: Facilitates programmatic access to NASA Soil Moisture Active Passive (SMAP) data with R. It includes functions to search for, acquire, and extract SMAP data.
Author: Maxwell Joseph [aut, cre], Matthew Oakley [aut], Zachary Schira [aut]
Maintainer: Maxwell Joseph <maxwell.b.joseph@colorado.edu>

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Package RSocrata updated to version 1.7.6-3 with previous version 1.7.5-3 dated 2019-01-25

Title: Download or Upload 'Socrata' Data Sets
Description: Provides easier interaction with 'Socrata' open data portals <http://dev.socrata.com>. Users can provide a 'Socrata' data set resource URL, or a 'Socrata' Open Data API (SoDA) web query, or a 'Socrata' "human-friendly" URL, returns an R data frame. Converts dates to 'POSIX' format and manages throttling by 'Socrata'. Users can upload data to 'Socrata' portals directly from R.
Author: Hugh Devlin, Ph. D., Tom Schenk, Jr., Gene Leynes, Nick Lucius, John Malc, Mark Silverberg, and Peter Schmeideskamp
Maintainer: "Tom Schenk Jr." <developers@cityofchicago.org>

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Package rfPermute updated to version 2.1.7 with previous version 2.1.6 dated 2018-07-07

Title: Estimate Permutation p-Values for Random Forest Importance Metrics
Description: Estimate significance of importance metrics for a Random Forest model by permuting the response variable. Produces null distribution of importance metrics for each predictor variable and p-value of observed. Provides summary and visualization functions for 'randomForest' results.
Author: Eric Archer [aut, cre]
Maintainer: Eric Archer <eric.archer@noaa.gov>

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Package haploR updated to version 2.0.9 with previous version 2.0.7 dated 2019-01-18

Title: Query 'HaploReg', 'RegulomeDB', 'LDlink'
Description: A set of utilities for querying 'HaploReg' <http://archive.broadinstitute.org/mammals/haploreg/haploreg.php>, 'RegulomeDB' <http://www.regulomedb.org>, and LDlink <https://analysistools.nci.nih.gov/LDlink> web-based tools. The package connects to 'HaploReg', 'RegulomeDB' and 'LDlink', searches and downloads results, without opening web pages, directly from R environment. Results are stored in a data frame that can be directly used in various kinds of downstream analyses.
Author: Ilya Y. Zhbannikov [aut, cre], Konstantin G. Arbeev [aut], Anatoliy I. Yashin [aut]
Maintainer: Ilya Y. Zhbannikov <ilya.zhbannikov@duke.edu>

Diff between haploR versions 2.0.7 dated 2019-01-18 and 2.0.9 dated 2019-04-22

 DESCRIPTION                         |   10 ++---
 MD5                                 |   28 +++++++--------
 NAMESPACE                           |    2 +
 R/LDlink.R                          |    4 +-
 R/general.R                         |    3 +
 inst/NEWS                           |    4 +-
 inst/doc/haplor-vignette.R          |   21 ++++++-----
 inst/doc/haplor-vignette.Rmd        |   11 +++---
 inst/doc/haplor-vignette.html       |   64 ++++++++++--------------------------
 inst/unitTests/test_LDlink.R        |   18 +++++-----
 inst/unitTests/test_queryHaploreg.R |   25 ++++----------
 inst/unitTests/test_queryRegulome.R |    6 ++-
 man/haploR-LDlink.LDmatrix.Rd       |    2 +
 tests/runTests.R                    |    1 
 vignettes/haplor-vignette.Rmd       |   11 +++---
 15 files changed, 94 insertions(+), 116 deletions(-)

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Package fastDummies updated to version 1.3.0 with previous version 1.2.0 dated 2018-06-21

Title: Fast Creation of Dummy (Binary) Columns and Rows from Categorical Variables
Description: Creates dummy columns from columns that have categorical variables (character or factor types). You can also specify which columns to make dummies out of, or which columns to ignore. Also creates dummy rows from character, factor, and Date columns. This package provides a significant speed increase from creating dummy variables through model.matrix().
Author: Jacob Kaplan [aut, cre], Benjamin Schlegel [ctb]
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>

Diff between fastDummies versions 1.2.0 dated 2018-06-21 and 1.3.0 dated 2019-04-22

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 fastDummies-1.3.0/fastDummies/MD5                                      |   22 +-
 fastDummies-1.3.0/fastDummies/NEWS.md                                  |   14 +
 fastDummies-1.3.0/fastDummies/R/dummy_cols.R                           |   50 +++--
 fastDummies-1.3.0/fastDummies/build/vignette.rds                       |binary
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 fastDummies-1.3.0/fastDummies/man/dummy_cols.Rd                        |    5 
 fastDummies-1.3.0/fastDummies/man/dummy_columns.Rd                     |    5 
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 fastDummies-1.3.0/fastDummies/tests/spelling.R                         |only
 fastDummies-1.3.0/fastDummies/tests/testthat/test-columns-sort-order.R |only
 14 files changed, 170 insertions(+), 96 deletions(-)

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Package coop updated to version 0.6-2 with previous version 0.6-1 dated 2017-11-14

Title: Co-Operation: Fast Covariance, Correlation, and Cosine Similarity Operations
Description: Fast implementations of the co-operations: covariance, correlation, and cosine similarity. The implementations are fast and memory-efficient and their use is resolved automatically based on the input data, handled by R's S3 methods. Full descriptions of the algorithms and benchmarks are available in the package vignettes.
Author: Drew Schmidt [aut, cre], Christian Heckendorf [ctb] (Caught some memory errors.)
Maintainer: Drew Schmidt <wrathematics@gmail.com>

Diff between coop versions 0.6-1 dated 2017-11-14 and 0.6-2 dated 2019-04-22

 ChangeLog                |    5 ++
 DESCRIPTION              |    6 +-
 MD5                      |   46 ++++++++++-----------
 README.md                |    2 
 inst/doc/algos.Rnw       |    2 
 inst/doc/algos.pdf       |binary
 inst/doc/coop.Rnw        |    2 
 inst/doc/coop.pdf        |binary
 src/R_naomit.c           |    8 +--
 src/R_wrapper.c          |    2 
 src/dense.c              |    2 
 src/dense_inplace.c      |   12 +----
 src/dense_pairwise.c     |    8 +--
 src/scale.c              |    2 
 src/sparse.c             |  100 ++++++++++++++++++-----------------------------
 src/utils/cdefs.h        |    2 
 src/utils/fill.h         |    7 +--
 src/utils/inverse.h      |   18 +++-----
 src/utils/mmult.h        |    1 
 src/utils/special_vals.h |    2 
 src/utils/sumstats.h     |    4 -
 src/utils/xpose.h        |    2 
 vignettes/algos.Rnw      |    2 
 vignettes/coop.Rnw       |    2 
 24 files changed, 110 insertions(+), 127 deletions(-)

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Package codemetar updated to version 0.1.8 with previous version 0.1.7 dated 2019-03-12

Title: Generate 'CodeMeta' Metadata for R Packages
Description: The 'Codemeta' Project defines a 'JSON-LD' format for describing software metadata, as detailed at <https://codemeta.github.io>. This package provides utilities to generate, parse, and modify 'codemeta.json' files automatically for R packages, as well as tools and examples for working with 'codemeta.json' 'JSON-LD' more generally.
Author: Carl Boettiger [aut, cre, cph] (<https://orcid.org/0000-0002-1642-628X>), Anna Krystalli [rev, ctb] (<https://orcid.org/0000-0002-2378-4915>), Toph Allen [rev] (<https://orcid.org/0000-0003-4580-091X>), Maëlle Salmon [ctb, aut] (<https://orcid.org/0000-0002-2815-0399>), rOpenSci [fnd] (https://ropensci.org/), Katrin Leinweber [ctb] (<https://orcid.org/0000-0001-5135-5758>), Noam Ross [ctb] (<https://orcid.org/0000-0002-2136-0000>), Arfon Smith [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Sebastian Meyer [ctb] (<https://orcid.org/0000-0002-1791-9449>), Michael Rustler [ctb] (<https://orcid.org/0000-0003-0647-7726>), Hauke Sonnenberg [ctb] (<https://orcid.org/0000-0001-9134-2871>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between codemetar versions 0.1.7 dated 2019-03-12 and 0.1.8 dated 2019-04-22

 DESCRIPTION                                |    8 ++--
 MD5                                        |   54 ++++++++++++++---------------
 NAMESPACE                                  |    1 
 NEWS.md                                    |    6 +++
 R/codemeta_validate.R                      |    4 ++
 R/parse_depends.R                          |    5 +-
 R/utils.R                                  |   15 --------
 README.md                                  |   16 ++++----
 build/vignette.rds                         |binary
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 tests/testthat.R                           |    1 
 tests/testthat/test-cloned-repo.R          |    1 
 tests/testthat/test-codemeta_description.R |    5 ++
 tests/testthat/test-codemeta_validate.R    |    3 +
 tests/testthat/test-crosswalk.R            |    1 
 tests/testthat/test-extract_badges.R       |    1 
 tests/testthat/test-frame.R                |   36 ++++++++++---------
 tests/testthat/test-give_opinions.R        |   14 +++++++
 tests/testthat/test-guess_metadata.R       |    8 ++++
 tests/testthat/test-many-packages.R        |    1 
 tests/testthat/test-parse_citation.R       |    1 
 tests/testthat/test-parse_depends.R        |    5 ++
 tests/testthat/test-parse_people.R         |    1 
 tests/testthat/test-utils.R                |    1 
 tests/testthat/test-write_codemeta.R       |   16 +++++++-
 vignettes/codemeta-intro.Rmd               |    6 +--
 28 files changed, 162 insertions(+), 91 deletions(-)

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