Fri, 07 Jun 2019

New package vanddraabe with initial version 1.1.1
Package: vanddraabe
Type: Package
Title: Identification and Statistical Analysis of Conserved Waters Near Proteins
Description: Identify and analyze conserved waters within crystallographic protein structures and molecular dynamics simulation trajectories. Statistical parameters for each water cluster, informative graphs, and a PyMOL session file to visually explore the conserved waters and protein are returned. Hydrophilicity is the propensity of waters to congregate near specific protein atoms and is related to conserved waters. An informatics derived set of hydrophilicity values are provided based on a large, high-quality X-ray protein structure dataset.
Version: 1.1.1
Date: 2019-06-10
Depends: R (>= 3.6.0)
Imports: bio3d (>= 2.3-4), cowplot (>= 0.9.4), fastcluster (>= 1.1.25), ggplot2 (>= 3.1.1), openxlsx (>= 4.1.0), reshape2 (>= 1.4.3), scales (>= 1.0.0)
Suggests: knitr, rmarkdown, testthat
Authors@R: person("Emilio Xavier", "Esposito", email = "emilio@exeResearch.com", role = c("aut", "cre"))
URL: http://vanddraabe.com, https://github.com/exeResearch/vanddraabe/
BugReports: https://github.com/exeResearch/vanddraabe/issues
License: MIT + file LICENSE
LazyData: TRUE
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-06-07 13:35:50 UTC; emilioxavieresposito
Author: Emilio Xavier Esposito [aut, cre]
Maintainer: Emilio Xavier Esposito <emilio@exeResearch.com>
Repository: CRAN
Date/Publication: 2019-06-07 22:00:03 UTC

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Package traits updated to version 0.4.0 with previous version 0.3.0 dated 2017-09-22

Title: Species Trait Data from Around the Web
Description: Species trait data from many different sources, including sequence data from 'NCBI', plant trait data from 'BETYdb', plant data from the USDA plants database, data from 'EOL' 'Traitbank', Coral traits data (<https://coraltraits.org>), 'Birdlife' International, and more.
Author: Scott Chamberlain [aut, cre], Zachary Foster [aut], Ignasi Bartomeus [aut], David LeBauer [aut], Chris Black [aut], David Harris [aut], Rupert Collins [ctb]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package Rxnat updated to version 1.0.6 with previous version 1.0.5 dated 2019-06-05

Title: Queries and Extracts Images from Extensible Neuroimaging Archive Toolkit Public/Private Datasets
Description: Allows communication with Extensible Neuroimaging Archive Toolkit <https://www.xnat.org>. 'Rxnat' is using the 'XNAT' REST API to perform data queries and download images.
Author: Adi Gherman [aut, cre]
Maintainer: Adi Gherman <adig@jhu.edu>

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Package jsmodule updated to version 0.9.0 with previous version 0.8.5 dated 2019-06-05

Title: 'RStudio' Addins and 'Shiny' Modules for Medical Research
Description: 'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>), Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package fgeo.x updated to version 1.1.4 with previous version 1.1.3 dated 2019-05-09

Title: Access Small ForestGEO Datasets For Examples
Description: Access small example datasets from Luquillo, a ForestGEO site in Puerto Rico (<https://forestgeo.si.edu/sites/north-america/luquillo>).
Author: Mauro Lepore [aut, ctr, cre] (<https://orcid.org/0000-0002-1986-7988>), Jess Zimmerman [dtc], CTFS-ForestGEO [cph, fnd]
Maintainer: Mauro Lepore <maurolepore@gmail.com>

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Package dataMaid updated to version 1.3.0 with previous version 1.2.0 dated 2018-10-03

Title: A Suite of Checks for Identification of Potential Errors in a Data Frame as Part of the Data Screening Process
Description: Data screening is an important first step of any statistical analysis. dataMaid auto generates a customizable data report with a thorough summary of the checks and the results that a human can use to identify possible errors. It provides an extendable suite of test for common potential errors in a dataset.
Author: Anne Helby Petersen [aut], Claus Thorn Ekstrøm [aut, cre]
Maintainer: Claus Thorn Ekstrøm <ekstrom@sund.ku.dk>

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Package rdefra (with last version 0.3.6) was removed from CRAN

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

2019-03-18 0.3.6

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Package TUWmodel updated to version 1.0-2 with previous version 1.0-1 dated 2018-06-27

Title: Lumped/Semi-Distributed Hydrological Model for Education Purposes
Description: The model, developed at the Vienna University of Technology, is a lumped conceptual rainfall-runoff model, following the structure of the HBV model. The model can also be run in a semi-distributed fashion. The model runs on a daily or shorter time step and consists of a snow routine, a soil moisture routine and a flow routing routine. See Parajka, J., R. Merz, G. Bloeschl (2007) <DOI:10.1002/hyp.6253> Uncertainty and multiple objective calibration in regional water balance modelling: case study in 320 Austrian catchments, Hydrological Processes, 21, 435-446.
Author: Alberto Viglione [aut, cre], Juraj Parajka [aut]
Maintainer: Alberto Viglione <viglione@hydro.tuwien.ac.at>

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Package tacmagic updated to version 0.3.0 with previous version 0.2.1 dated 2019-03-06

Title: Positron Emission Tomography Time-Activity Curve Analysis
Description: To facilitate the analysis of positron emission tomography (PET) time activity curve (TAC) data, and to encourage open science and replicability, this package supports data loading and analysis of multiple TAC file formats. Functions are available to analyze loaded TAC data for individual participants or in batches. Major functionality includes weighted TAC merging by region of interest (ROI), calculating models including standardized uptake value ratio (SUVR) and distribution volume ratio (DVR, Logan et al. 1996 <doi:10.1097/00004647-199609000-00008>), basic plotting functions and calculation of cut-off values (Aizenstein et al. 2008 <doi:10.1001/archneur.65.11.1509>). Please see the walkthrough vignette for a detailed overview of 'tacmagic' functions.
Author: Eric Brown [aut, cre] (<https://orcid.org/0000-0002-1575-2606>), Ariel Graff-Guerrero [dgs], Jon Clayden [rev] (<https://orcid.org/0000-0002-6608-0619>, Jon Clayden reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/280>), Brandon Hurr [rev] (<https://orcid.org/0000-0003-2576-4544>, Brandon Hurr reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/280>)
Maintainer: Eric Brown <eb@ericebrown.com>

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Package semTable updated to version 1.6 with previous version 1.3 dated 2019-05-20

Title: Structural Equation Modeling Tables
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').
Author: Paul Johnson [aut, cre], Benjamin Kite [aut]
Maintainer: Paul Johnson <pauljohn@ku.edu>

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Package rorcid updated to version 0.5.0 with previous version 0.4.0 dated 2018-02-11

Title: Interface to the 'Orcid.org' API
Description: Client for the 'Orcid.org' API (<https://orcid.org/>). Functions included for searching for people, searching by 'DOI', and searching by 'Orcid' 'ID'.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), rOpenSci [fnd] (https://ropensci.org/)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package REAT updated to version 3.0.1 with previous version 3.0.0 dated 2019-03-04

Title: Regional Economic Analysis Toolbox
Description: Collection of models and analysis methods used in regional and urban economics and (quantitative) economic geography, e.g. measures of inequality, regional disparities and convergence, regional specialization as well as accessibility and spatial interaction models.
Author: Thomas Wieland
Maintainer: Thomas Wieland <thomas.wieland.geo@googlemail.com>

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Package mombf updated to version 2.2.4 with previous version 2.2.3 dated 2019-04-28

Title: Bayesian Model Selection and Averaging for Non-Local and Local Priors
Description: Bayesian model selection and averaging for regression and mixtures for non-local and selected local priors.
Author: David Rossell, John D. Cook, Donatello Telesca, P. Roebuck
Maintainer: David Rossell <rosselldavid@gmail.com>

Diff between mombf versions 2.2.3 dated 2019-04-28 and 2.2.4 dated 2019-06-07

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Package markdown updated to version 1.0 with previous version 0.9 dated 2018-12-06

Title: Render Markdown with the C Library 'Sundown'
Description: Provides R bindings to the 'Sundown' Markdown rendering library (<https://github.com/vmg/sundown>). Markdown is a plain-text formatting syntax that can be converted to 'XHTML' or other formats. See <http://en.wikipedia.org/wiki/Markdown> for more information about Markdown.
Author: JJ Allaire [aut], Jeffrey Horner [aut], Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Henrik Bengtsson [ctb], Jim Hester [ctb], Yixuan Qiu [ctb], Kohske Takahashi [ctb], Adam November [ctb], Nacho Caballero [ctb], Jeroen Ooms [ctb], Thomas Leeper [ctb], Joe Cheng [ctb], Andrzej Oles [ctb], Vicent Marti [aut, cph] (The Sundown library), Natacha Porte [aut, cph] (The Sundown library), RStudio [cph]
Maintainer: Yihui Xie <xie@yihui.name>

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Package jstable updated to version 0.8.2 with previous version 0.8.1 dated 2019-03-07

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>), Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package fpc updated to version 2.2-2 with previous version 2.2-1 dated 2019-05-21

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. Standardisation of cluster validation statistics by random clusterings and comparison between many clustering methods and numbers of clusters based on this. 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 <christian.hennig@unibo.it>
Maintainer: Christian Hennig <christian.hennig@unibo.it>

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Package fingertipsR updated to version 0.2.6 with previous version 0.2.4 dated 2019-05-19

Title: Fingertips Data for Public Health
Description: Fingertips (<http://fingertips.phe.org.uk/>) contains data for many indicators of public health in England. The underlying data is now more easily accessible by making use of the API.
Author: Sebastian Fox [aut, cre], Julian Flowers [aut, ctb], Simon Thelwall [ctb] (<https://orcid.org/0000-0002-0434-2724>), Duncan Gormansway [ctb], Carl Ganz [ctb], David Whiting [ctb], Crown Copyright 2018 [cph]
Maintainer: Sebastian Fox <sebastian.fox@phe.gov.uk>

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Package gear (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:

2015-12-22 0.1.1

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Package nlr (with last version 0.1-2) was removed from CRAN

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

2019-06-03 0.1-2

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Package readabs updated to version 0.4.0 with previous version 0.3.1 dated 2019-05-22

Title: Download and Tidy Time Series Data from the Australian Bureau of Statistics
Description: Downloads, imports, and tidies time series data from the Australian Bureau of Statistics <https://www.abs.gov.au/>.
Author: Matt Cowgill [aut, cre], Zoe Meers [aut], Jaron Lee [aut], David Diviny [ctb]
Maintainer: Matt Cowgill <mattcowgill@gmail.com>

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Package GNAR updated to version 0.3.6 with previous version 0.2.9 dated 2018-11-02

Title: Methods for Fitting Network Time Series Models
Description: Simulation of, and fitting models for, Generalised Network Autoregressive (GNAR) time series models which take account of network structure. Such models are described in Knight et al. (2016), see <arXiv:1603.03221>.
Author: Kathryn Leeming [aut], Guy Nason [aut], Matt Nunes [aut, cre], Marina Knight [ctb]
Maintainer: Matt Nunes <nunesrpackages@gmail.com>

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Package exiftoolr updated to version 0.1.2 with previous version 0.1.1 dated 2018-09-12

Title: ExifTool Functionality from R
Description: Reads, writes, and edits EXIF and other file metadata using ExifTool <http://www.sno.phy.queensu.ca/~phil/exiftool/>, returning read results as a data frame. ExifTool supports many different metadata formats including EXIF, GPS, IPTC, XMP, JFIF, GeoTIFF, ICC Profile, Photoshop IRB, FlashPix, AFCP and ID3, as well as the maker notes of many digital cameras by Canon, Casio, DJI, FLIR, FujiFilm, GE, GoPro, HP, JVC/Victor, Kodak, Leaf, Minolta/Konica-Minolta, Motorola, Nikon, Nintendo, Olympus/Epson, Panasonic/Leica, Pentax/Asahi, Phase One, Reconyx, Ricoh, Samsung, Sanyo, Sigma/Foveon and Sony.
Author: Joshua O'Brien [aut, cre]
Maintainer: Joshua O'Brien <joshmobrien@gmail.com>

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Package crunch updated to version 1.26.1 with previous version 1.26.0 dated 2019-04-02

Title: Crunch.io Data Tools
Description: The Crunch.io service <http://crunch.io/> provides a cloud-based data store and analytic engine, as well as an intuitive web interface. Using this package, analysts can interact with and manipulate Crunch datasets from within R. Importantly, this allows technical researchers to collaborate naturally with team members, managers, and clients who prefer a point-and-click interface.
Author: Neal Richardson [aut], Jonathan Keane [aut], Gordon Shotwell [aut], Mike Malecki [aut, cre]
Maintainer: Mike Malecki <mike@crunch.io>

Diff between crunch versions 1.26.0 dated 2019-04-02 and 1.26.1 dated 2019-06-07

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 crunch-1.26.1/crunch/DESCRIPTION                                                                                |   22 
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 crunch-1.26.1/crunch/R/AllClasses.R                                                                             |    8 
 crunch-1.26.1/crunch/R/R-to-variable.R                                                                          |    9 
 crunch-1.26.1/crunch/R/api.R                                                                                    |   28 
 crunch-1.26.1/crunch/R/archive-and-publish.R                                                                    |   12 
 crunch-1.26.1/crunch/R/as-data-frame.R                                                                          |    8 
 crunch-1.26.1/crunch/R/auth.R                                                                                   |    2 
 crunch-1.26.1/crunch/R/case-variables.R                                                                         |   33 
 crunch-1.26.1/crunch/R/categories.R                                                                             |   44 
 crunch-1.26.1/crunch/R/change-category-id.R                                                                     |    3 
 crunch-1.26.1/crunch/R/combine-categories.R                                                                     |   19 
 crunch-1.26.1/crunch/R/compare-datasets.R                                                                       |    7 
 crunch-1.26.1/crunch/R/conditional-transform.R                                                                  |   14 
 crunch-1.26.1/crunch/R/consent.R                                                                                |    8 
 crunch-1.26.1/crunch/R/context-manager.R                                                                        |    2 
 crunch-1.26.1/crunch/R/crunchbox.R                                                                              |   37 
 crunch-1.26.1/crunch/R/cube-dims.R                                                                              |    3 
 crunch-1.26.1/crunch/R/cube-index-table.R                                                                       |   40 
 crunch-1.26.1/crunch/R/cube-residuals.R                                                                         |    4 
 crunch-1.26.1/crunch/R/cube-result.R                                                                            |    6 
 crunch-1.26.1/crunch/R/cube-subset.R                                                                            |    4 
 crunch-1.26.1/crunch/R/cube-transforms.R                                                                        |   18 
 crunch-1.26.1/crunch/R/cut.R                                                                                    |   14 
 crunch-1.26.1/crunch/R/dataset-catalog.R                                                                        |    3 
 crunch-1.26.1/crunch/R/dataset-extract.R                                                                        |  107 +-
 crunch-1.26.1/crunch/R/dataset-reference.R                                                                      |    2 
 crunch-1.26.1/crunch/R/dataset-stream.R                                                                         |    5 
 crunch-1.26.1/crunch/R/dataset-update.R                                                                         |   36 
 crunch-1.26.1/crunch/R/dataset.R                                                                                |   16 
 crunch-1.26.1/crunch/R/datetime.R                                                                               |    6 
 crunch-1.26.1/crunch/R/decks.R                                                                                  |   11 
 crunch-1.26.1/crunch/R/delete.R                                                                                 |   17 
 crunch-1.26.1/crunch/R/drop-rows.R                                                                              |    2 
 crunch-1.26.1/crunch/R/export-dataset.R                                                                         |   22 
 crunch-1.26.1/crunch/R/expressions.R                                                                            |   10 
 crunch-1.26.1/crunch/R/filters.R                                                                                |   12 
 crunch-1.26.1/crunch/R/folders.R                                                                                |    4 
 crunch-1.26.1/crunch/R/fork-and-merge.R                                                                         |    2 
 crunch-1.26.1/crunch/R/gadgets.R                                                                                |    2 
 crunch-1.26.1/crunch/R/geo.R                                                                                    |   10 
 crunch-1.26.1/crunch/R/get-datasets.R                                                                           |   21 
 crunch-1.26.1/crunch/R/github.R                                                                                 |    9 
 crunch-1.26.1/crunch/R/hide-variables.R                                                                         |   46 -
 crunch-1.26.1/crunch/R/interact.R                                                                               |    2 
 crunch-1.26.1/crunch/R/join-dataset.R                                                                           |    3 
 crunch-1.26.1/crunch/R/json.R                                                                                   |    9 
 crunch-1.26.1/crunch/R/make-array.R                                                                             |   14 
 crunch-1.26.1/crunch/R/members.R                                                                                |    3 
 crunch-1.26.1/crunch/R/misc.R                                                                                   |   17 
 crunch-1.26.1/crunch/R/multitables.R                                                                            |   19 
 crunch-1.26.1/crunch/R/new-dataset.R                                                                            |   18 
 crunch-1.26.1/crunch/R/ordering.R                                                                               |   15 
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Package bsts updated to version 0.9.1 with previous version 0.9.0 dated 2019-05-21

Title: Bayesian Structural Time Series
Description: Time series regression using dynamic linear models fit using MCMC. See Scott and Varian (2014) <DOI:10.1504/IJMMNO.2014.059942>, among many other sources.
Author: Steven L. Scott <steve.the.bayesian@gmail.com>
Maintainer: Steven L. Scott <steve.the.bayesian@gmail.com>

Diff between bsts versions 0.9.0 dated 2019-05-21 and 0.9.1 dated 2019-06-07

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Package binnednp updated to version 0.4.0 with previous version 0.3.0 dated 2019-04-24

Title: Nonparametric Estimation for Interval-Grouped Data
Description: Kernel density and distribution estimation for interval-grouped data (Reyes, Francisco-Fernandez and Cao 2016, 2017) <doi:10.1080/10485252.2016.1163348>, <doi:10.1007/s11749-017-0523-9>, (Gonzalez-Andujar, Francisco-Fernandez, Cao, Reyes, Urbano, Forcella and Bastida 2016) <doi:10.1111/wre.12216> and nonparametric estimation of seedling emergence indices (Cao, Francisco-Fernandez, Anand, Bastida and Gonzalez-Andujar 2011) <doi:10.1017/S002185961100030X>.
Author: Daniel Barreiro Ures, Basilio B. Fraguela, Ramón Doallo Biempica, Ricardo Cao, Mario Francisco-Fernández, Miguel Reyes
Maintainer: Daniel Barreiro Ures <dbu5293@gmail.com>

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Package AzureAuth updated to version 1.1.1 with previous version 1.1.0 dated 2019-05-10

Title: Authentication Services for Azure Active Directory
Description: Provides Azure Active Directory (AAD) authentication functionality for R users of Microsoft's 'Azure' cloud <https://azure.microsoft.com/>. Use this package to obtain 'OAuth' 2.0 tokens for services including Azure Resource Manager, Azure Storage and others. It supports both AAD v1.0 and v2.0, as well as multiple authentication methods, including device code and resource owner grant. Tokens are cached in a user-specific directory obtained using the 'rappdirs' package. The interface is based on the 'OAuth' framework in the 'httr' package, but customised and streamlined for Azure. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], httr development team [ctb] (Original OAuth listener code), Scott Holden [ctb] (Advice on AAD authentication), Chris Stone [ctb] (Advice on AAD authentication), Microsoft [cph]
Maintainer: Hong Ooi <hongooi@microsoft.com>

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Package mgcViz updated to version 0.1.4 with previous version 0.1.3 dated 2019-01-23

Title: Visualisations for Generalized Additive Models
Description: Extension of the 'mgcv' package, providing visual tools for Generalized Additive Models that exploit the additive structure of such models, scale to large data sets and can be used in conjunction with a wide range of response distributions. The focus is providing visual methods for better understanding the model output and for aiding model checking and development beyond simple exponential family regression. The graphical framework is based on the layering system provided by 'ggplot2'.
Author: Matteo Fasiolo [aut, cre], Raphael Nedellec [aut], Yannig Goude [ctb], Simon N. Wood [ctb]
Maintainer: Matteo Fasiolo <matteo.fasiolo@gmail.com>

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More information about mgcViz at CRAN
Permanent link

Package YPInterimTesting updated to version 1.0.3 with previous version 1.0.2 dated 2019-03-22

Title: Interim Monitoring Using Adaptively Weighted Log-Rank Test in Clinical Trials
Description: For any spending function specified by the user, this package provides corresponding boundaries for interim testing using the adaptively weighted log-rank test developed by Yang and Prentice (2010 <doi:10.1111/j.1541-0420.2009.01243.x>). The package uses a re-sampling method to obtain stopping boundaries at the interim looks.The output consists of stopping boundaries and observed values of the test statistics at the interim looks, along with nominal p-values defined as the probability of the test exceeding the specific observed test statistic value or critical value, regardless of the test behavior at other looks. The asymptotic validity of the stopping boundaries is established in Yang (2018 <doi:10.1002/sim.7958>).
Author: Daewoo Pak and Song Yang
Maintainer: Daewoo Pak <heavyrain.pak@gmail.com>

Diff between YPInterimTesting versions 1.0.2 dated 2019-03-22 and 1.0.3 dated 2019-06-07

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More information about YPInterimTesting at CRAN
Permanent link

Package drake updated to version 7.4.0 with previous version 7.3.0 dated 2019-05-19

Title: A Pipeline Toolkit for Reproducible Computation at Scale
Description: A general-purpose computational engine for data analysis, drake rebuilds intermediate data objects when their dependencies change, and it skips work when the results are already up to date. Not every execution starts from scratch, there is native support for parallel and distributed computing, and completed projects have tangible evidence that they are reproducible. Extensive documentation, from beginner-friendly tutorials to practical examples and more, is available at the reference website <https://ropensci.github.io/drake/> and the online manual <https://ropenscilabs.github.io/drake-manual/>.
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Alex Axthelm [ctb], Jasper Clarkberg [ctb], Kirill Müller [ctb], Ben Bond-Lamberty [ctb] (<https://orcid.org/0000-0001-9525-4633>), Tristan Mahr [ctb] (<https://orcid.org/0000-0002-8890-5116>), Miles McBain [ctb] (<https://orcid.org/0000-0003-2865-2548>), Ben Marwick [rev], Peter Slaughter [rev], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

Diff between drake versions 7.3.0 dated 2019-05-19 and 7.4.0 dated 2019-06-07

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More information about drake at CRAN
Permanent link

Package BoomSpikeSlab updated to version 1.1.1 with previous version 1.1.0 dated 2019-05-18

Title: MCMC for Spike and Slab Regression
Description: Spike and slab regression a la McCulloch and George (1997).
Author: Steven L. Scott <steve.the.bayesian@gmail.com>
Maintainer: Steven L. Scott <steve.the.bayesian@gmail.com>

Diff between BoomSpikeSlab versions 1.1.0 dated 2019-05-18 and 1.1.1 dated 2019-06-07

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Permanent link

New package RandomCoefficients with initial version 0.0.2
Package: RandomCoefficients
Title: Adaptive Estimation in the Linear Random Coefficients Models
Version: 0.0.2
Authors@R: c(person("Christophe", "Gaillac", email = "christophe.gaillac@ensae.fr", role = c("aut", "cre")),person("Eric", "Gautier", email = "eric.gautier@tse-fr.eu", role = c("aut")))
Description: We implement adaptive estimation of the joint density linear model where the coefficients - intercept and slopes - are random and independent from regressors which support is a proper subset. The estimator proposed in Gaillac and Gautier (2019) <arXiv:1905.06584> is based on Prolate Spheroidal Wave Functions which are computed efficiently in 'RandomCoefficients'. This package also provides a parallel implementation of the estimator.
Depends: R (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.1.0
Imports: snowfall, stats, orthopolynom, polynom, fourierin, sfsmisc, tmvtnorm, rdetools, ks, statmod, RCEIM, robustbase, VGAM
NeedsCompilation: no
Packaged: 2019-06-05 12:55:26 UTC; gaillac
Author: Christophe Gaillac [aut, cre], Eric Gautier [aut]
Maintainer: Christophe Gaillac <christophe.gaillac@ensae.fr>
Repository: CRAN
Date/Publication: 2019-06-07 14:00:03 UTC

More information about RandomCoefficients at CRAN
Permanent link

New package isocat with initial version 0.2.3
Package: isocat
Type: Package
Title: Isotope Clustering and Assignment Tools
Version: 0.2.3
Authors@R: person("Caitlin", "Campbell", email = "caitjcampbell@gmail.com", role = c("aut", "cre"))
Description: This resource provides tools to create, compare, and post-process spatial isotope assignment models of animal origin. It generates probability-of-origin maps for individuals based on user-provided tissue and environment isotope values (e.g., as generated by IsoMAP, Bowen [2010] <doi:10.1111/2041-210X.12147>) using the framework established in Bowen (2014) <doi:10.1111/2041-210X.12147>. The package 'isocat' can then quantitatively compare and cluster these maps to group individuals by similar origin. It also includes techniques for applying four approaches (cumulative sum, odds ratio, quantile only, and quantile simulation) with which users can summarize geographic origins and probable distance traveled by individuals.
License: CC0
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 2.10), utils, raster
Imports: stats, plyr, dplyr, sp, magrittr, foreach
Suggests: dendextend, doParallel, ggplot2, gridExtra, kableExtra, knitr, parallel, purrr, pvclust, rmarkdown, rasterVis, viridisLite
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-06-06 15:52:00 UTC; ccampbell
Author: Caitlin Campbell [aut, cre]
Maintainer: Caitlin Campbell <caitjcampbell@gmail.com>
Repository: CRAN
Date/Publication: 2019-06-07 11:50:03 UTC

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New package PakPMICS2018hh with initial version 0.1.0
Package: PakPMICS2018hh
Type: Package
Title: Multiple Indicator Cluster Survey (MICS) 2017-18 Household Questionnaire Data for Punjab, Pakistan
Version: 0.1.0
Authors@R: c( person(c("Muhammad", "Yaseen"), email = "myaseen208@gmail.com", role = c("aut", "cre")) , person(c("Muhammad", "Usman"), email = "usmann75@hotmail.com", role = c("ctb")) )
Author: Muhammad Yaseen [aut, cre], Muhammad Usman [ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Description: Provides data set and function for exploration of Multiple Indicator Cluster Survey (MICS) 2017-18 Household questionnaire data for Punjab, Pakistan. The results of the present survey are critically important for the purposes of Sustainable Development Goals (SDGs) monitoring, as the survey produces information on 32 global Sustainable Development Goals (SDGs) indicators. The data was collected from 53,840 households selected at the second stage with systematic random sampling out of a sample of 2,692 clusters selected using probability proportional to size sampling. Six questionnaires were used in the survey: (1) a household questionnaire to collect basic demographic information on all de jure household members (usual residents), the household, and the dwelling; (2) a water quality testing questionnaire administered in three households in each cluster of the sample; (3) a questionnaire for individual women administered in each household to all women age 15-49 years; (4) a questionnaire for individual men administered in every second household to all men age 15-49 years; (5) an under-5 questionnaire, administered to mothers (or caretakers) of all children under 5 living in the household; and (6) a questionnaire for children age 5-17 years, administered to the mother (or caretaker) of one randomly selected child age 5-17 years living in the household (<http://www.mics.unicef.org/surveys>).
Depends: R (>= 3.5.0)
Imports: tibble
License: GPL-2
URL: https://github.com/myaseen208/PakPMICS2018hh, https://myaseen208.github.io/PakPMICS2018hh/
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Note: Department of Mathematics and Statistics, University of Agriculture Faisalabad, Faisalabad-Pakistan.
Suggests: testthat, R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2019-06-07 08:27:31 UTC; myaseen
Repository: CRAN
Date/Publication: 2019-06-07 10:30:03 UTC

More information about PakPMICS2018hh at CRAN
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Package intrinsicDimension updated to version 1.2.0 with previous version 1.1.0 dated 2017-11-26

Title: Intrinsic Dimension Estimation
Description: A variety of methods for estimating intrinsic dimension of data sets (i.e the manifold or Hausdorff dimension of the support of the distribution that generated the data) as reviewed in Johnsson, K. (2016, ISBN:978-91-7623-921-6) and Johnsson, K., Soneson, C. and Fontes, M. (2015) <doi:10.1109/TPAMI.2014.2343220>. Furthermore, to evaluate the performance of these estimators, functions for generating data sets with given intrinsic dimensions are provided.
Author: Kerstin Johnsson, Lund University
Maintainer: Kerstin Johnsson <kerstin.johnsson@hotmail.com>

Diff between intrinsicDimension versions 1.1.0 dated 2017-11-26 and 1.2.0 dated 2019-06-07

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Package qgam updated to version 1.3.0 with previous version 1.2.3 dated 2019-01-24

Title: Smooth Additive Quantile Regression Models
Description: Smooth additive quantile regression models, fitted using the methods of Fasiolo et al. (2017) <arXiv:1707.03307>. Differently from 'quantreg', the smoothing parameters are estimated automatically by marginal loss minimization, while the regression coefficients are estimated using either PIRLS or Newton algorithm. The learning rate is determined so that the Bayesian credible intervals of the estimated effects have approximately the correct coverage. The main function is qgam() which is similar to gam() in 'mgcv', but fits non-parametric quantile regression models.
Author: Matteo Fasiolo [aut, cre], Simon N. Wood [ctb], Margaux Zaffran [ctb], Yannig Goude [ctb], Raphael Nedellec [ctb]
Maintainer: Matteo Fasiolo <matteo.fasiolo@gmail.com>

Diff between qgam versions 1.2.3 dated 2019-01-24 and 1.3.0 dated 2019-06-07

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 R/I_tuneLearnBootstrapping.R               |    2 
 R/I_tuneLearnFullFits.R                    |   25 
 R/check_learnFast.R                        |    4 
 R/check_qgam.R                             |    9 
 R/cqcheck.R                                |    2 
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 R/generic_functions.R                      |    3 
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New package RtextSummary with initial version 0.1.0
Package: RtextSummary
Type: Package
Title: Summarizes Text by Extracting Relevant Sentences
Version: 0.1.0
Authors@R: c( person("Suryavanshi", "Abhijit", role = c("aut", "cre"), email = "abhi.surya@gmail.com") )
Description: Build a text summary by extracting relevant sentences from your text. The training dataset should consist of several documents, each document should have sentences separated by a period. While fitting the model, the 'term frequency - inverse document frequency' (TF-IDF) matrix that reflects how important a word is to a document is calculated first. Then vector representations for words are obtained from the 'global vectors for word representation' algorithm (GloVe). While applying the model on new data, the GloVe word vectors for each word are weighted by their TF-IDF weights and averaged to give a sentence vector or a document vector. The magnitude of this sentence vector gives the importance of that sentence within the document. Another way to obtain the importance of the sentence is to calculate cosine similarity between the sentence vector and the document vector. The output can either be at the sentence level (sentences and weights are returned) or at a document level (the summary for each document is returned). It is useful to first get a sentence level output and get quantiles of the sentence weights to determine a cutoff threshold for the weights. This threshold can then be used in the document level output. This method is a variation of the TF-IDF extractive summarization method mentioned in a review paper by Gupta (2010) <doi:10.4304/jetwi.2.3.258-268>.
License: GPL-3
Encoding: UTF-8
LazyData: false
Imports: R6, mlapi, stringr, tidyr, tokenizers, text2vec, Matrix.utils, dplyr
Depends: R (>= 2.10)
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-06-06 16:03:15 UTC; ASuryav1
Author: Suryavanshi Abhijit [aut, cre]
Maintainer: Suryavanshi Abhijit <abhi.surya@gmail.com>
Repository: CRAN
Date/Publication: 2019-06-07 08:30:03 UTC

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New package Patterns with initial version 1.0
Package: Patterns
Type: Package
Title: Deciphering Biological Networks with Patterned Heterogeneous Measurements
Version: 1.0
Date: 2019-05-27
Depends: R (>= 2.10)
biocViews:
Imports: abind, animation, Biobase, c060, cluster, elasticnet, glmnet, gplots, graphics, grDevices, grid, igraph, jetset, KernSmooth, lars, lattice, limma, magic, methods, Mfuzz, movMF, msgps, nnls, pixmap, plotrix, SelectBoost, splines, spls, stats4, survival, tnet, VGAM, WGCNA
Suggests: repmis, biomaRt, R.rsp, CascadeData, knitr, rmarkdown
Authors@R: c( person(given = "Frederic", family= "Bertrand", role = c("cre", "aut"), email = "frederic.bertrand@math.unistra.fr", comment = c(ORCID = "0000-0002-0837-8281")), person(given = "Myriam", family= "Maumy-Bertrand", role = c("aut"), email = "myriam.maumy-bertrand@math.unistra.fr", comment = c(ORCID = "0000-0002-4615-1512")))
Author: Frederic Bertrand [cre, aut] (<https://orcid.org/0000-0002-0837-8281>), Myriam Maumy-Bertrand [aut] (<https://orcid.org/0000-0002-4615-1512>)
Maintainer: Frederic Bertrand <frederic.bertrand@math.unistra.fr>
Description: A modeling tool dedicated to biological network modeling. It allows for single or joint modeling of, for instance, genes and proteins. It starts with the selection of the actors that will be the used in the reverse engineering upcoming step. An actor can be included in that selection based on its differential measurement (for instance gene expression or protein abundance) or on its time course profile. Wrappers for actors clustering functions and cluster analysis are provided. It also allows reverse engineering of biological networks taking into account the observed time course patterns of the actors. Many inference functions are provided and dedicated to get specific features for the inferred network such as sparsity, robust links, high confidence links or stable through resampling links. Some simulation and prediction tools are also available for cascade networks. Example of use with microarray or RNA-Seq data are provided.
License: GPL (>= 2)
Encoding: UTF-8
Collate: global.R micro_array.R network.R micro_array-network.R micropredict.R
Classification/MSC: 62J05, 62J07, 62J99, 92C42
VignetteBuilder: knitr
RoxygenNote: 6.1.1
URL: http://www-irma.u-strasbg.fr/~fbertran/, https://github.com/fbertran/Patterns
BugReports: https://github.com/fbertran/Patterns/issues
NeedsCompilation: no
Packaged: 2019-06-06 20:27:04 UTC; fbertran
Repository: CRAN
Date/Publication: 2019-06-07 08:10:03 UTC

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New package splithalfr with initial version 1.0.10
Package: splithalfr
Title: Extensible Bootstrapped Split-Half Reliabilities
Version: 1.0.10
Date: 2019-06-06
Author: Thomas Pronk [aut, cre]
Authors@R: person("Thomas", "Pronk", email = "pronkthomas@gmail.com", role = c("aut", "cre"))
Description: Calculates scores and estimates bootstrapped split-half reliabilities for reaction time tasks and questionnaires. The 'splithalfr' can be extended with custom scoring algorithms for user-provided datasets. For more information, see Parsons, Kruijt, & Fox (2018) <doi:10.31234/osf.io/6ka9z>.
Depends: R (>= 3.6)
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: psych (>= 1.8.12), knitr (>= 1.20), rmarkdown (>= 1.10), testthat (>= 2.1.0)
Imports: dplyr (>= 0.8.1), rlang (>= 0.3.4)
RoxygenNote: 6.1.1.9000
VignetteBuilder: knitr
URL: https://thomaspronk.com, https://www.uva.nl/en/profile/p/r/t.pronk/t.pronk.html
NeedsCompilation: no
Packaged: 2019-06-06 15:32:58 UTC; Thomas
Maintainer: Thomas Pronk <pronkthomas@gmail.com>
Repository: CRAN
Date/Publication: 2019-06-07 08:00:03 UTC

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New package phenofit with initial version 0.2.5-2
Package: phenofit
Type: Package
Title: Extract Remote Sensing Vegetation Phenology
Version: 0.2.5-2
Authors@R: c( person("Dongdong", "Kong", role = c("aut", "cre"), email = "kongdd.sysu@gmail.com"), person("Jianjian", "Cui", role = c("aut"), email = "cuijj6@mail2.sysu.edu.cn"), person("Mingzhong", "Xiao", role = c("aut"), email = "xmingzh@mail2.sysu.edu.cn"), person("Yongqiang", "Zhang", role = c("aut"), email = "yongqiang.zhang2014@gmail.com"), person("Xihui", "Gu", role = c("aut"), email = "guxh@cug.edu.cn"))
Description: The merits of 'TIMESAT' and 'phenopix' are adopted. Besides, a simple and growing season dividing method and a practical snow elimination method based on Whittaker were proposed. 7 curve fitting methods and 4 phenology extraction methods were provided. Parameters boundary are considered for every curve fitting methods according to their ecological meaning. And 'optimx' is used to select best optimization method for different curve fitting methods. Reference: Dongdong Kong, R package: A state-of-the-art Vegetation Phenology extraction package, phenofit version 0.2.3, <https://github.com/kongdd/phenofit>; Zhang, Q., Kong, D., Shi, P., Singh, V.P., Sun, P., 2018. Vegetation phenology on the Qinghai-Tibetan Plateau and its response to climate change (1982–2013). Agric. For. Meteorol. 248, 408–417. <doi:10.1016/j.agrformet.2017.10.026>.
License: GPL-2 | file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.1)
Imports: Rcpp, tibble, dplyr, purrr, stringr, tidyr, ggplot2, lubridate, data.table, spam, grid, gridExtra, magrittr, plyr, reshape2, zoo, optimx, ucminf, numDeriv, grDevices, utils, stats, shiny, jsonlite, foreach, iterators
Suggests: knitr, rmarkdown, testthat
URL: https://github.com/kongdd/phenofit
BugReports: https://github.com/kongdd/phenofit/issues
NeedsCompilation: yes
Packaged: 2019-06-07 01:03:59 UTC; kongd
Author: Dongdong Kong [aut, cre], Jianjian Cui [aut], Mingzhong Xiao [aut], Yongqiang Zhang [aut], Xihui Gu [aut]
Maintainer: Dongdong Kong <kongdd.sysu@gmail.com>
Repository: CRAN
Date/Publication: 2019-06-07 08:00:08 UTC

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New package PakPMICS2018fs with initial version 0.1.0
Package: PakPMICS2018fs
Type: Package
Title: Multiple Indicator Cluster Survey (MICS) 2017-18 Children Age 5-17 Questionnaire Data for Punjab, Pakistan
Version: 0.1.0
Author: Muhammad Yaseen [aut, cre], Muhammad Usman [ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Description: Provides data set and function for exploration of Multiple Indicator Cluster Survey (MICS) 2017-18 Children Age 5-17 questionnaire data for Punjab, Pakistan. The results of the present survey are critically important for the purposes of Sustainable Development Goals (SDGs) monitoring, as the survey produces information on 32 global Sustainable Development Goals (SDGs) indicators. The data was collected from 53,840 households selected at the second stage with systematic random sampling out of a sample of 2,692 clusters selected using probability proportional to size sampling. Six questionnaires were used in the survey: (1) a household questionnaire to collect basic demographic information on all de jure household members (usual residents), the household, and the dwelling; (2) a water quality testing questionnaire administered in three households in each cluster of the sample; (3) a questionnaire for individual women administered in each household to all women age 15-49 years; (4) a questionnaire for individual men administered in every second household to all men age 15-49 years; (5) an under-5 questionnaire, administered to mothers (or caretakers) of all children under 5 living in the household; and (6) a questionnaire for children age 5-17 years, administered to the mother (or caretaker) of one randomly selected child age 5-17 years living in the household (<http://www.mics.unicef.org/surveys>).
Depends: R (>= 3.5.0)
Imports: tibble
License: GPL-2
URL: https://github.com/myaseen208/PakPMICS2018fs, https://myaseen208.github.io/PakPMICS2018fs/
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Note: Department of Mathematics and Statistics, University of Agriculture Faisalabad, Faisalabad-Pakistan.
Suggests: testthat, R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2019-06-06 13:27:47 UTC; myaseen
Repository: CRAN
Date/Publication: 2019-06-07 07:50:14 UTC

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New package ncdfgeom with initial version 1.0.0
Package: ncdfgeom
Type: Package
Title: 'NetCDF' Geometry and Time Series
Version: 1.0.0
Date: 2019-06-05
Authors@R: c(person("David", "Blodgett", role = c("aut", "cre"), email = "dblodgett@usgs.gov"), person("Luke", "Winslow", role = "ctb"))
Description: Tools to create time series and geometry 'NetCDF' files.
URL: https://code.usgs.gov/water/ncdfgeom
BugReports: https://github.com/USGS-R/ncdfgeom/issues
Imports: RNetCDF, ncmeta, sf, dplyr, methods
Depends: R (>= 3.0)
Suggests: testthat, knitr, rmarkdown, pkgdown, tidyverse, sp, geoknife, ncdf4, jsonlite
License: CC0
LazyData: TRUE
Encoding: UTF-8
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-06-06 14:32:54 UTC; dblodgett
Author: David Blodgett [aut, cre], Luke Winslow [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>
Repository: CRAN
Date/Publication: 2019-06-07 07:50:03 UTC

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New package cpd with initial version 0.1.0
Package: cpd
Type: Package
Title: Complex Pearson Distributions
Version: 0.1.0
Date: 2019-05-28
Authors@R: c(person("Silverio", "Vilchez-Lopez", role = c("aut", "cre"), email = "svilchez@ujaen.es"), person("Maria Jose", "Olmo-Jimenez", role = "aut", email = "mjolmo@ujaen.es"), person("Jose", "Rodriguez-Avi", role = "aut", email = "jravi@ujaen.es") )
Description: Probability mass function, distribution function, quantile function and random generation for the Complex Triparametric Pearson (CTP) and Complex Biparametric Pearson (CBP) distributions developed by Rodriguez-Avi et al (2003) <doi:10.1007/s00362-002-0134-7>, Rodriguez-Avi et al (2004) <doi:10.1007/BF02778271> and Olmo-Jimenez et al (2018) <doi:10.1080/00949655.2018.1482897>. The package also contains maximum-likelihood fitting functions for these models.
Depends: R (>= 2.5.0)
Imports: fAsianOptions, Rdpack
RdMacros: Rdpack
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-06-06 18:30:31 UTC; svilc_000
Author: Silverio Vilchez-Lopez [aut, cre], Maria Jose Olmo-Jimenez [aut], Jose Rodriguez-Avi [aut]
Maintainer: Silverio Vilchez-Lopez <svilchez@ujaen.es>
Repository: CRAN
Date/Publication: 2019-06-07 08:00:14 UTC

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Package es.dif updated to version 1.0.1 with previous version 1.0.0 dated 2019-01-25

Title: Compute Effect Sizes of the Difference
Description: Computes various effect sizes of the difference, their variance, and confidence interval. This package treats Cohen's d, Hedges' d, biased/unbiased c (an effect size between a mean and a constant) and e (an effect size between means without assuming the variance equality).
Author: Satoshi Aoki
Maintainer: Satoshi Aoki <aokis1ll1@gmail.com>

Diff between es.dif versions 1.0.0 dated 2019-01-25 and 1.0.1 dated 2019-06-07

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Package comprehenr updated to version 0.6.6 with previous version 0.6.5 dated 2019-04-09

Title: List Comprehensions
Description: Provides 'Python'-style list comprehensions. List comprehension expressions use usual loops (for(), while() and repeat()) and usual if() as list producers. In many cases it gives more concise notation than standard "*apply + filter" strategy.
Author: Gregory Demin [aut, cre]
Maintainer: Gregory Demin <gdemin@gmail.com>

Diff between comprehenr versions 0.6.5 dated 2019-04-09 and 0.6.6 dated 2019-06-07

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 tests/testthat/test_to_list.R |   10 ++++
 vignettes/Introduction.rmd    |    4 +
 12 files changed, 124 insertions(+), 57 deletions(-)

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