Sun, 09 Feb 2020

Package misty updated to version 0.2.1 with previous version 0.2.0 dated 2020-02-09

Title: Miscellaneous Functions 'T. Yanagida'
Description: Miscellaneous functions for data management, descriptive statistics, and statistical analysis e.g., reading and writing a SPSS file, frequency table, cross tabulation, multilevel and missing data descriptive statistics, various effect size measures, scale and group scores, centering at the grand mean or within cluster, or coefficient alpha and item statistics.
Author: Takuya Yanagida [aut, cre]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>

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Package brinton updated to version 0.1.4 with previous version 0.1.3 dated 2020-01-07

Title: A Graphical EDA Tool
Description: An automated graphical exploratory data analysis (EDA) tool that introduces: a.) wideplot() graphics for exploring the structure of a dataset through a grid of variables and graphic types. b.) longplot() graphics, which present the entire catalog of available graphics for representing a particular variable using a grid of graphic types and variations on these types. c.) plotup() function, which presents a particular graphic for a specific variable of a dataset. The plotup() function also makes it possible to obtain the code used to generate the graphic, meaning that the user can adjust its properties as needed.
Author: Pere Millán-Martínez [aut, cre], Ramon Oller Piqué [ctb]
Maintainer: Pere Millán-Martínez <info@sciencegraph.org>

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Package BLCOP updated to version 0.3.2 with previous version 0.3.1 dated 2015-02-04

Title: Black-Litterman and Copula Opinion Pooling Frameworks
Description: An implementation of the Black-Litterman Model and Atilio Meucci's copula opinion pooling framework.
Author: Francisco Gochez, Richard Chandler-Mant, Suchen Jin, Jinjing Xie
Maintainer: Ava Yang <ayang@mango-solutions.com>

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Package tabr updated to version 0.4.1 with previous version 0.4.0 dated 2019-12-03

Title: Music Notation Syntax, Manipulation, Analysis and Transcription in R
Description: Provides a music notation syntax and a collection of music programming functions for generating, manipulating, organizing and analyzing musical information in R. The music notation framework facilitates creating and analyzing music data in notation form. Music data can be viewed, manipulated and analyzed while in different forms of representation based around different data structures: strings and data frames. Each representation offers advantages over the other for different use cases. Music syntax can be entered directly and represented in character strings to minimize the formatting overhead of data entry by using simple data structures, for example when wanting to quickly enter and transcribe short pieces of music to sheet music or tablature. The package contains functions for directly performing various mathematical, logical and organizational operations and musical transformations on special object classes that facilitate working with music data and notation. The same music data can also be organized in tidy data frames, allowing for a more familiar and powerful approach to the analysis of large amounts of structured music data. Functions are available for mapping seamlessly between these data structures and their representations of musical information. The package also provides API wrapper functions for transcribing musical representations in R into guitar tablature ("tabs") and basic sheet music using the 'LilyPond' backend (<http://lilypond.org>). 'LilyPond' is open source music engraving software for generating high quality sheet music based on markup syntax. The package generates 'LilyPond' files from R code and can pass them to 'LilyPond' to be rendered into sheet music pdf files. The package offers nominal MIDI file output support in conjunction with rendering sheet music. The package can read MIDI files and attempts to structure the MIDI data to integrate as best as possible with the data structures and functionality found throughout the package.
Author: Matthew Leonawicz [aut, cre] (<https://orcid.org/0000-0001-9452-2771>)
Maintainer: Matthew Leonawicz <matt_leonawicz@esource.com>

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More information about tabr at CRAN
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Package SimRVPedigree updated to version 0.4.4 with previous version 0.3.0 dated 2018-10-01

Title: Simulate Pedigrees Ascertained for a Rare Disease
Description: Routines to simulate and manipulate pedigrees ascertained to contain multiple family members affected by a rare disease. Christina Nieuwoudt, Samantha J Jones, Angela Brooks-Wilson, and Jinko Graham (2018) <doi:10.1101/234153>.
Author: Christina Nieuwoudt [aut, cre], Jinko Graham [aut]
Maintainer: Christina Nieuwoudt <cnieuwou@sfu.ca>

Diff between SimRVPedigree versions 0.3.0 dated 2018-10-01 and 0.4.4 dated 2020-02-09

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More information about SimRVPedigree at CRAN
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Package rcrimeanalysis updated to version 0.2.0 with previous version 0.1.0 dated 2019-12-01

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

Diff between rcrimeanalysis versions 0.1.0 dated 2019-12-01 and 0.2.0 dated 2020-02-09

 DESCRIPTION    |    6 +++---
 MD5            |    6 +++---
 R/kde_map.R    |   14 +++++++++++++-
 man/kde_map.Rd |    5 ++++-
 4 files changed, 23 insertions(+), 8 deletions(-)

More information about rcrimeanalysis at CRAN
Permanent link

Package RcppArmadillo updated to version 0.9.850.1.0 with previous version 0.9.800.4.0 dated 2020-01-24

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Note that Armadillo requires a fairly recent compiler; for the g++ family at least version 4.6.* is required.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates and Binxiang Ni
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 0.9.800.4.0 dated 2020-01-24 and 0.9.850.1.0 dated 2020-02-09

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Package osmdata updated to version 0.1.3 with previous version 0.1.2 dated 2019-12-14

Title: Import 'OpenStreetMap' Data as Simple Features or Spatial Objects
Description: Download and import of 'OpenStreetMap' ('OSM') data as 'sf' or 'sp' objects. 'OSM' data are extracted from the 'Overpass' web server and processed with very fast 'C++' routines for return to 'R'.
Author: Mark Padgham [aut, cre], Bob Rudis [aut], Robin Lovelace [aut], Maëlle Salmon [aut], Andrew Smith [ctb], James Smith [ctb], Andrea Gilardi [ctb], Marcin Kalicinski [ctb, cph] (Author of included RapidXML code), Finkelstein Noam [ctb, cph] (Author of included stub.R code), Bartnik Lukasz [ctb, cph] (Author of included stub.R code)
Maintainer: Mark Padgham <mark.padgham@email.com>

Diff between osmdata versions 0.1.2 dated 2019-12-14 and 0.1.3 dated 2020-02-09

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Package foreach updated to version 1.4.8 with previous version 1.4.7 dated 2019-07-27

Title: Provides Foreach Looping Construct
Description: Support for the foreach looping construct. Foreach is an idiom that allows for iterating over elements in a collection, without the use of an explicit loop counter. This package in particular is intended to be used for its return value, rather than for its side effects. In that sense, it is similar to the standard lapply function, but doesn't require the evaluation of a function. Using foreach without side effects also facilitates executing the loop in parallel.
Author: Hong Ooi [cre], Microsoft [aut, cph], Steve Weston [aut]
Maintainer: Hong Ooi <hongooi@microsoft.com>

Diff between foreach versions 1.4.7 dated 2019-07-27 and 1.4.8 dated 2020-02-09

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More information about foreach at CRAN
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Package explore updated to version 0.5.4 with previous version 0.5.3 dated 2020-01-17

Title: Simplifies Exploratory Data Analysis
Description: Interactive data exploration with one line of code or use an easy to remember set of tidy functions for exploratory data analysis. Introduces three main verbs. explore() to graphically explore a variable or table, describe() to describe a variable or table and report() to create an automated report.
Author: Roland Krasser
Maintainer: Roland Krasser <roland.krasser@gmail.com>

Diff between explore versions 0.5.3 dated 2020-01-17 and 0.5.4 dated 2020-02-09

 DESCRIPTION                  |    6 +++---
 MD5                          |   14 +++++++-------
 NEWS.md                      |    8 ++++++++
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 8 files changed, 26 insertions(+), 18 deletions(-)

More information about explore at CRAN
Permanent link

New package variosig with initial version 0.3-1
Package: variosig
Type: Package
Imports: gstat, sp, testthat
Suggests: geoR
Depends: R (>= 3.1.0)
Title: Testing Spatial Dependence Using Empirical Variogram
Version: 0.3-1
Authors@R: c( person("Craig", "Wang", email = "craig.wang@math.uzh.ch", role = c("aut","cre"),comment = c(ORCID = "0000-0003-1804-2463")), person("Reinhard", "Furrer", email = "reinhard.furrer@math.uzh.ch", role = "ctb",comment = c(ORCID = "0000-0002-6319-2332")))
Maintainer: Craig Wang <craig.wang@math.uzh.ch>
Description: Applying Monte Carlo permutation to generate pointwise variogram envelope and checking for spatial dependence at different scales using permutation test. Empirical Brown's method and Fisher's method are used to compute overall p-value for hypothesis test.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2020-02-08 12:18:49 UTC; crwang
Author: Craig Wang [aut, cre] (<https://orcid.org/0000-0003-1804-2463>), Reinhard Furrer [ctb] (<https://orcid.org/0000-0002-6319-2332>)
Repository: CRAN
Date/Publication: 2020-02-09 19:20:02 UTC

More information about variosig at CRAN
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New package spatialfusion with initial version 0.6-1
Package: spatialfusion
Imports: methods, graphics, stats, utils, rstan, sp, SDraw, fields
Suggests: INLA, geoR, testthat, tmap, R.rsp
Depends: R (>= 3.4.0), Rcpp
Type: Package
VignetteBuilder: R.rsp
Title: Multivariate Analysis of Spatial Data Using a Unifying Spatial Fusion Framework
Version: 0.6-1
Date: 2020-02-08
Authors@R: c( person("Craig", "Wang", email = "craig.wang@math.uzh.ch", role = c("aut","cre"),comment = c(ORCID = "0000-0003-1804-2463")), person("Reinhard", "Furrer", email = "reinhard.furrer@math.uzh.ch", role = "ctb",comment = c(ORCID = "0000-0002-6319-2332")))
Maintainer: Craig Wang <craig.wang@math.uzh.ch>
Description: Multivariate modelling of geostatistical (point), lattice (areal) and point pattern data in a unifying spatial fusion framework. Details are given in Wang and Furrer (2019) <arXiv:1906.00364>. Model inference is done using either 'Stan' <https://mc-stan.org/> or 'INLA' <http://www.r-inla.org>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: TRUE
NeedsCompilation: no
Packaged: 2020-02-08 13:15:58 UTC; crwang
Author: Craig Wang [aut, cre] (<https://orcid.org/0000-0003-1804-2463>), Reinhard Furrer [ctb] (<https://orcid.org/0000-0002-6319-2332>)
Repository: CRAN
Date/Publication: 2020-02-09 19:20:05 UTC

More information about spatialfusion at CRAN
Permanent link

Package parameters updated to version 0.5.0 with previous version 0.4.1 dated 2020-01-17

Title: Processing of Model Parameters
Description: Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), this package implements features like bootstrapping or simulating of parameters and models, feature reduction (feature extraction and variable selection) as well as functions to describe data and variable characteristics (e.g. skewness, kurtosis, smoothness or distribution).
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>), Søren Højsgaard [aut], Zen J. Lau [ctb]
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between parameters versions 0.4.1 dated 2020-01-17 and 0.5.0 dated 2020-02-09

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More information about parameters at CRAN
Permanent link

New package misty with initial version 0.2.0
Package: misty
Type: Package
Title: Miscellaneous Functions T. Yanagida
Version: 0.2.0
Date: 2020-01-13
Authors@R: person(given = "Takuya", family = "Yanagida", email="takuya.yanagida@univie.ac.at", role = c("aut","cre"))
Author: Takuya Yanagida [aut, cre]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>
Description: Miscellaneous functions for data management, descriptive statistics, and statistical analysis e.g., reading and writing SPSS files, frequency table, cross tabulation, multilevel and missing data descriptives, various effect size measures, scale and group scores, centering at the grand mean or within cluster, intraclass correlation coefficient, coefficient alpha and item statistics.
Depends: R (>= 3.4)
License: MIT + file LICENSE
Imports: haven
Suggests: lme4, mnormt, nlme, plyr
Encoding: UTF-8
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-01-13 12:26:34 UTC; Takuya
Repository: CRAN
Date/Publication: 2020-02-09 19:30:02 UTC

More information about misty at CRAN
Permanent link

Package ggroups updated to version 1.3.0 with previous version 1.2.1 dated 2019-05-10

Title: Pedigree and Genetic Groups
Description: Calculates additive and dominance genetic relationship matrices and their inverses, in matrix and tabular-sparse formats. It includes functions for checking and processing pedigree, as well as functions to calculate the matrix of genetic group contributions (Q), and adding those contributions to the genetic merit of animals (Quaas (1988) <doi:10.3168/jds.S0022-0302(88)79691-5>). Calculation of Q is computationally extensive. There are computationally optimized functions to calculate Q.
Author: Mohammad Ali Nilforooshan [aut, cre] (<https://orcid.org/0000-0003-0339-5442>)
Maintainer: Mohammad Ali Nilforooshan <m.a.nilforooshan@gmail.com>

Diff between ggroups versions 1.2.1 dated 2019-05-10 and 1.3.0 dated 2020-02-09

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Package gganimate updated to version 1.0.5 with previous version 1.0.4 dated 2019-11-18

Title: A Grammar of Animated Graphics
Description: The grammar of graphics as implemented in the 'ggplot2' package has been successful in providing a powerful API for creating static visualisation. In order to extend the API for animated graphics this package provides a completely new set of grammar, fully compatible with 'ggplot2' for specifying transitions and animations in a flexible and extensible way.
Author: Thomas Lin Pedersen [aut, cre] (<https://orcid.org/0000-0002-5147-4711>), David Robinson [aut], RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

Diff between gganimate versions 1.0.4 dated 2019-11-18 and 1.0.5 dated 2020-02-09

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Package SHAPforxgboost updated to version 0.0.3 with previous version 0.0.2 dated 2019-08-28

Title: SHAP Plots for 'XGBoost'
Description: The aim of 'SHAPforxgboost' is to aid in visual data investigations using SHAP (SHapley Additive exPlanation) visualization plots for 'XGBoost'. It provides summary plot, dependence plot, interaction plot, and force plot. It relies on the 'dmlc/xgboost' package to produce SHAP values. Please refer to 'slundberg/shap' for the original implementation of SHAP in 'Python'.
Author: Yang Liu [aut, cre] (<https://orcid.org/0000-0001-6557-6439>), Allan Just [aut, ctb] (<https://orcid.org/0000-0003-4312-5957>)
Maintainer: Yang Liu <lyhello@gmail.com>

Diff between SHAPforxgboost versions 0.0.2 dated 2019-08-28 and 0.0.3 dated 2020-02-09

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Package tidyLPA updated to version 1.0.5 with previous version 1.0.4 dated 2019-08-19

Title: Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software
Description: An interface to the 'mclust' package to easily carry out latent profile analysis ("LPA"). Provides functionality to estimate commonly-specified models. Follows a tidy approach, in that output is in the form of a data frame that can subsequently be computed on. Also has functions to interface to the commercial 'MPlus' software via the 'MplusAutomation' package.
Author: Joshua M Rosenberg [aut, cre], Caspar van Lissa [aut], Jennifer A Schmidt [ctb], Patrick N Beymer [ctb], Daniel Anderson [ctb], Matthew J. Schell [ctb]
Maintainer: Joshua M Rosenberg <jmichaelrosenberg@gmail.com>

Diff between tidyLPA versions 1.0.4 dated 2019-08-19 and 1.0.5 dated 2020-02-09

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Package sfsmisc updated to version 1.1-5 with previous version 1.1-4 dated 2019-05-11

Title: Utilities from 'Seminar fuer Statistik' ETH Zurich
Description: Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of which were ported from S-plus in the 1990's. For graphics, have pretty (Log-scale) axes, an enhanced Tukey-Anscombe plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For robustness, have a robust F test and robust range(). For system support, notably on Linux, provides 'Sys.*()' functions with more access to system and CPU information. Finally, miscellaneous utilities such as simple efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and is.whole().
Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Werner Stahel [ctb] (Functions: compresid2way(), f.robftest(), last(), p.scales(), p.dnorm()), Andreas Ruckstuhl [ctb] (Functions: p.arrows(), p.profileTraces(), p.res.2x()), Christian Keller [ctb] (Functions: histBxp(), p.tachoPlot()), Kjetil Halvorsen [ctb] (Functions: KSd(), ecdf.ksCI()), Alain Hauser [ctb] (Functions: cairoSwd(), is.whole(), toLatex.numeric()*), Christoph Buser [ctb] (to function Duplicated()), Lorenz Gygax [ctb] (to function p.res.2fact()), Bill Venables [ctb] (Functions: empty.dimnames(), primes()), Tony Plate [ctb] (to inv.seq()), Isabelle Fl<fc>ckiger [ctb], Marcel Wolbers [ctb], Markus Keller [ctb], Sandrine Dudoit [ctb], Jane Fridlyand [ctb], Greg Snow [ctb] (to loessDemo()), Henrik Aa. Nielsen [ctb] (to loessDemo()), Vincent Carey [ctb], Ben Bolker [ctb], Philippe Grosjean [ctb], Fr<e9>d<e9>ric Ibanez [ctb], Caterina Savi [ctb], Charles Geyer [ctb], Jens Oehlschl<e4>gel [ctb]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between sfsmisc versions 1.1-4 dated 2019-05-11 and 1.1-5 dated 2020-02-09

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Package rcompanion updated to version 2.3.25 with previous version 2.3.21 dated 2020-01-09

Title: Functions to Support Extension Education Program Evaluation
Description: Functions and datasets to support "Summary and Analysis of Extension Program Evaluation in R" and "An R Companion for the Handbook of Biological Statistics". Vignettes are available at <http://rcompanion.org>.
Author: Salvatore Mangiafico [aut, cre] (<https://orcid.org/0000-0003-4668-6821>)
Maintainer: Salvatore Mangiafico <mangiafico@njaes.rutgers.edu>

Diff between rcompanion versions 2.3.21 dated 2020-01-09 and 2.3.25 dated 2020-02-09

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Package pammtools updated to version 0.2.1 with previous version 0.1.14 dated 2019-09-08

Title: Piece-Wise Exponential Additive Mixed Modeling Tools for Survival Analysis
Description: The Piece-wise exponential (Additive Mixed) Model (PAMM; Bender and Scheipl (2018) <doi: 10.1177/1471082X17748083>) is a powerful model class for the analysis of survival (or time-to-event) data, based on Generalized Additive (Mixed) Models (GA(M)Ms). It offers intuitive specification and robust estimation of complex survival models with stratified baseline hazards, random effects, time-varying effects, time-dependent covariates and cumulative effects (Bender and others (2018) <doi: 10.1093/biostatistics/kxy003>. pammtools provides tidy workflow for survival analysis with PAMMs, including data simulation, transformation and other functions for data preprocessing and model post-processing as well as visualization.
Author: Andreas Bender [aut, cre] (<https://orcid.org/0000-0001-5628-8611>), Fabian Scheipl [aut]
Maintainer: Andreas Bender <andreas.bender@stat.uni-muenchen.de>

Diff between pammtools versions 0.1.14 dated 2019-09-08 and 0.2.1 dated 2020-02-09

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New package MediaNews with initial version 0.1.0
Package: MediaNews
Type: Package
Title: Media News Extraction for Text Analysis
Version: 0.1.0
Date: 2020-01-23
Author: Vatsal Aima
Maintainer: Vatsal Aima <vaima75@hotmail.com>
Description: Extract textual data from different media channels through its source, based on users choice of keywords. These data can be used to perform text analysis to identify patterns in respective media reporting. The media channels used in this package are print media from India. The data (or news) used are publicly available to consumers.
License: LGPL-3
Encoding: UTF-8
LazyData: true
OS_type: windows
Imports: lubridate (>= 1.7.4), rvest (>= 0.3.5), stats (>= 3.6.1), stopwords (>= 1.0), svMisc (>= 1.1.0), xml2 (>= 1.2.2)
RoxygenNote: 7.0.1
NeedsCompilation: no
Packaged: 2020-01-23 14:50:44 UTC; vaima
Repository: CRAN
Date/Publication: 2020-02-09 17:10:12 UTC

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Package tidypredict updated to version 0.4.4 with previous version 0.4.3 dated 2019-09-03

Title: Run Predictions Inside the Database
Description: It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval' code that calculates the predictions. It works with several databases back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL' translation of the algorithm. It currently supports lm(), glm(), randomForest(), ranger(), earth(), xgb.Booster.complete(), cubist(), and ctree() models.
Author: Edgar Ruiz [aut, cre]
Maintainer: Edgar Ruiz <edgararuiz@gmail.com>

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Package soobench updated to version 1.9.18 with previous version 1.9.12 dated 2020-01-27

Title: Single Objective Optimization Benchmark Functions
Description: Collection of different single objective test functions useful for benchmarks and algorithm development.
Author: Olaf Mersmann <olafm@p-value.net>, Bernd Bischl <bernd_bischl@gmx.net>, Jakob Bossek <jakob.bossek@tu-dortmund.de> and Leonard Judt <judt@gmx.net>
Maintainer: Eric Kalosa-Kenyon <eric@opsani.com>

Diff between soobench versions 1.9.12 dated 2020-01-27 and 1.9.18 dated 2020-02-09

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Package processx updated to version 3.4.2 with previous version 3.4.1 dated 2019-07-18

Title: Execute and Control System Processes
Description: Tools to run system processes in the background. It can check if a background process is running; wait on a background process to finish; get the exit status of finished processes; kill background processes. It can read the standard output and error of the processes, using non-blocking connections. 'processx' can poll a process for standard output or error, with a timeout. It can also poll several processes at once.
Author: Gábor Csárdi [aut, cre, cph] (<https://orcid.org/0000-0001-7098-9676>), Winston Chang [aut], RStudio [cph, fnd], Mango Solutions [cph, fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package prnsamplr updated to version 0.1.1 with previous version 0.1.0 dated 2019-03-02

Title: Permanent Random Number Sampling
Description: Survey sampling using permanent random numbers (PRN's). A solution to the problem of unknown overlap between survey samples, which leads to a low precision in estimates when the survey is repeated or combined with other surveys. The PRN solution is to supply the U(0, 1) random numbers to the sampling procedure, instead of having the sampling procedure generate them. In Lindblom (2014) <doi:10.2478/jos-2014-0047>, and therein cited articles, it is shown how this is carried out and how it improves the estimates. This package supports two common fixed-size sampling procedures (simple random sampling and probability-proportional-to-size sampling) and includes a function for transforming the PRN's in order to control the sample overlap.
Author: Kira Coder Gylling
Maintainer: Kira Coder Gylling <kira.gylling@gmail.com>

Diff between prnsamplr versions 0.1.0 dated 2019-03-02 and 0.1.1 dated 2020-02-09

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Package prcr updated to version 0.2.1 with previous version 0.1.5 dated 2017-08-25

Title: Person-Centered Analysis
Description: Provides an easy-to-use yet adaptable set of tools to conduct person-center analysis using a two-step clustering procedure. As described in Bergman and El-Khouri (1999) <DOI:10.1002/(SICI)1521-4036(199910)41:6%3C753::AID-BIMJ753%3E3.0.CO;2-K>, hierarchical clustering is performed to determine the initial partition for the subsequent k-means clustering procedure.
Author: Joshua M Rosenberg [aut, cre], Jennifer A Schmidt [aut], Patrick N Beymer [aut], Rebecca R Steingut [ctb]
Maintainer: Joshua M Rosenberg <jmichaelrosenberg@gmail.com>

Diff between prcr versions 0.1.5 dated 2017-08-25 and 0.2.1 dated 2020-02-09

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Package pense updated to version 1.2.9 with previous version 1.2.5 dated 2019-06-08

Title: Penalized Elastic Net S/MM-Estimator of Regression
Description: Robust penalized elastic net S and MM estimator for linear regression. The method is described in detail in Cohen Freue, G. V., Kepplinger, D., Salibian-Barrera, M., and Smucler, E. (2017) <https://gcohenfr.github.io/pdfs/PENSE_manuscript.pdf>.
Author: David Kepplinger [aut, cre], Matias Salibian-Barrera [aut], Gabriela Cohen Freue [aut], Derek Cho [ctb]
Maintainer: David Kepplinger <david.kepplinger@gmail.com>

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Package OjaNP updated to version 0.9-13 with previous version 0.9-12 dated 2018-11-20

Title: Multivariate Methods Based on the Oja Median and Related Concepts
Description: Functions to calculate the Oja median, Oja signs and ranks and methods based upon them.
Author: Daniel Fischer, Karl Mosler, Jyrki Möttönen, Klaus Nordhausen, Oleksii Pokotylo, Daniel Vogel
Maintainer: Daniel Fischer <daniel.fischer@luke.fi>

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 inst/ChangeLog             |    6 ++
 man/OjaNP-package.Rd       |    4 -
 man/ojaMedianControl.Rd    |  105 ++++++++++++++++++++++-----------------------
 src/algorithms.cpp         |   10 ++--
 src/bounded_search.cpp     |   16 +++---
 src/global.cpp             |    4 -
 src/global.h               |   13 ++++-
 src/interface.cpp          |    8 +--
 13 files changed, 135 insertions(+), 111 deletions(-)

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New package NMADiagT with initial version 0.1.0
Package: NMADiagT
Type: Package
Title: Network Meta-Analysis of Multiple Diagnostic Tests
Version: 0.1.0
Authors@R: c(person("Boyang", "Lu", email = "lu000083@umn.edu", role = c("aut", "cre")), person("Qinshu", "Lian", email = "lianx025@umn.edu", role = c("aut")))
Maintainer: Boyang Lu <lu000083@umn.edu>
Description: Implements HSROC (hierarchical summary receiver operating characteristic) model developed by Ma, Lian, Chu, Ibrahim, and Chen (2018) <doi:10.1093/biostatistics/kxx025> and hierarchical model developed by Lian, Hodges, and Chu (2019) <doi:10.1080/01621459.2018.1476239> for performing meta-analysis for 1-5 diagnostic tests to simultaneously compare multiple tests within a missing data framework. This package evaluates the accuracy of multiple diagnostic tests and also gives graphical representation of the results.
Depends: R (>= 2.14.0), rjags (>= 4-6)
Imports: coda, ggplot2, ks, reshape2, MCMCpack, MASS,plotrix, graphics, stats, grDevices, imguR, Rdpack
RdMacros: Rdpack
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-01-28 16:13:37 UTC; boyanglu
Author: Boyang Lu [aut, cre], Qinshu Lian [aut]
Repository: CRAN
Date/Publication: 2020-02-09 16:10:02 UTC

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New package ISRaD with initial version 1.2.3
Package: ISRaD
Title: Tools and Data for the International Soil Radiocarbon Database
Version: 1.2.3
Authors@R: c(person("Alison", "Hoyt", email = "ahoyt@bgc-jena.mpg.de", role = c("aut")), person("Jeffrey", "Beem-Miller", email = "jbeem@bgc-jena.mpg.de", role = c("aut", "cre")), person("Shane", "Stoner", email = "sstoner@bgc-jena.mpg.de", role = c("aut")), person("J. Grey", "Monroe", email = "greymonroe@gmail.com", role = c("aut")), person("Caitlin", "Hicks-Pries", email = "caitlin.pries@dartmouth.edu", role = c("aut")), person("Paul A.", "Levine", email = "paul.levine@uci.edu", role = c("aut")))
Description: This is the central location for data and tools for the development, maintenance, analysis, and deployment of the International Soil Radiocarbon Database (ISRaD). ISRaD was developed as a collaboration between the U.S. Geological Survey Powell Center and the Max Planck Institute for Biogeochemistry. This R package provides tools for accessing and manipulating ISRaD data, compiling local data using the ISRaD data structure, and simple query and reporting functions for ISRaD. For more detailed information visit the ISRaD website at: <https://soilradiocarbon.org/>.
Depends: R (>= 3.5.0)
Imports: openxlsx, devtools, raster, rgdal, dplyr, tidyr, RCurl, ggplot2, maps, assertthat, rcrossref, pangaear, tidyverse, stringr
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2020-01-28 18:49:07 UTC; jeff
Author: Alison Hoyt [aut], Jeffrey Beem-Miller [aut, cre], Shane Stoner [aut], J. Grey Monroe [aut], Caitlin Hicks-Pries [aut], Paul A. Levine [aut]
Maintainer: Jeffrey Beem-Miller <jbeem@bgc-jena.mpg.de>
Repository: CRAN
Date/Publication: 2020-02-09 16:10:05 UTC

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Package fingertipsR updated to version 1.0.2 with previous version 1.0.1 dated 2020-01-28

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>

Diff between fingertipsR versions 1.0.1 dated 2020-01-28 and 1.0.2 dated 2020-02-09

 DESCRIPTION                          |    6 -
 MD5                                  |   30 +++----
 NEWS.md                              |    6 +
 R/area_types.R                       |    6 +
 R/deprivation_decile.R               |   10 --
 R/fingertips_data.R                  |   10 +-
 R/indicators.R                       |    3 
 R/profiles.R                         |    4 -
 README.md                            |   32 +-------
 inst/doc/lifeExpectancy.html         |  120 +++++++++++++++----------------
 inst/doc/selectIndicatorsRedRed.html |    2 
 man/indicator_areatypes.Rd           |  101 +++++++++++++-------------
 man/indicators_unique.Rd             |  101 +++++++++++++-------------
 man/nearest_neighbours.Rd            |  133 +++++++++++++++++------------------
 man/profiles.Rd                      |  112 ++++++++++++++---------------
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 16 files changed, 330 insertions(+), 351 deletions(-)

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Package cgraph updated to version 6.0.1 with previous version 6.0.0 dated 2020-02-04

Title: Computational Graphs
Description: Allows to create, evaluate, and differentiate computational graphs in R. A computational graph is a graph representation of a multivariate function decomposed by its (elementary) operations. Nodes in the graph represent arrays while edges represent dependencies among the arrays. An advantage of expressing a function as a computational graph is that this enables to differentiate the function by automatic differentiation. The 'cgraph' package supports various operations including basic arithmetic, trigonometry operations, and linear algebra operations. It differentiates computational graphs by reverse automatic differentiation. The flexible architecture of the package makes it applicable to solve a variety of problems including local sensitivity analysis, gradient-based optimization, and machine learning.
Author: Ron Triepels
Maintainer: Ron Triepels <dev@cgraph.org>

Diff between cgraph versions 6.0.0 dated 2020-02-04 and 6.0.1 dated 2020-02-09

 DESCRIPTION                 |    6 -
 MD5                         |   53 ++++++------
 NAMESPACE                   |    2 
 NEWS.md                     |   14 ++-
 R/array.R                   |   62 ++++++++++++++
 R/subset.R                  |    4 
 man/cg_colmeans.Rd          |only
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 src/class.c                 |   50 ++---------
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 src/internal.c              |    2 
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 tests/testthat/test_array.R |   24 +++++
 29 files changed, 619 insertions(+), 552 deletions(-)

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New package cdlei with initial version 1.0
Package: cdlei
Type: Package
Title: Cause-Deleted Life Expectancy Improvement Procedure
Version: 1.0
Date: 2020-01-24
Author: Peter Adamic, Alicja Wolny-Dominiak
Maintainer: Alicja Wolny-Dominiak <woali@ue.katowice.pl>
Description: The concept of cause-deleted life expectancy improvement is statistic designed to quantify the increase in life expectancy if a certain cause of death is removed. See Adamic, P. (2015) (<https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2689352>).
License: GPL-2
NeedsCompilation: no
Packaged: 2020-01-29 12:27:53 UTC; woali
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-02-09 16:40:09 UTC

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New package bioC.logs with initial version 1.0
Package: bioC.logs
Type: Package
Title: BioConductor Package Downloads Stats
Version: 1.0
Date: 2020-01-30
Author: Marcelo Ponce [aut, cre]
Maintainer: Marcelo Ponce <mponce@scinet.utoronto.ca>
Description: Download stats reports from the BioConductor.org stats website.
Imports:
Suggests: knitr, devtools, roxygen2, testthat
License: GPL (>= 2)
URL: https://github.com/mponce0/bioC.logs
BugReports: https://github.com/mponce0/bioC.logs/issues
RoxygenNote: 6.1.99.9001
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-29 17:35:25 UTC; marcelo
Repository: CRAN
Date/Publication: 2020-02-09 16:50:09 UTC

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New package unheadr with initial version 0.2.0
Package: unheadr
Type: Package
Title: Handle Data with Messy Header Rows and Broken Values
Version: 0.2.0
Depends: R (>= 2.10)
Authors@R: person("Luis D.", "Verde Arregoitia", email = "luis@liomys.mx", role=c("aut","cre"),comment = c(ORCID = "0000-0001-9520-6543"))
Description: Verb-like functions to work with messy data, often derived from spreadsheets or parsed PDF tables. Includes functions for unwrapping values broken up across rows, relocating embedded grouping values, and to annotate meaningful formatting in spreadsheet files.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr (>= 0.7.5), rlang (>= 0.2.1), forcats, stringr, tidyr, magrittr, tidyxl, readxl, tibble
RoxygenNote: 7.0.2
Suggests: knitr, rmarkdown, testthat (>= 2.1.0), covr
VignetteBuilder: knitr
URL: https://github.com/luisDVA/unheadr
BugReports: https://github.com/luisDVA/unheadr/issues
NeedsCompilation: no
Packaged: 2020-01-28 13:48:14 UTC; luisd
Author: Luis D. Verde Arregoitia [aut, cre] (<https://orcid.org/0000-0001-9520-6543>)
Maintainer: Luis D. Verde Arregoitia <luis@liomys.mx>
Repository: CRAN
Date/Publication: 2020-02-09 15:40:02 UTC

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Package gazepath updated to version 1.3 with previous version 1.2 dated 2017-03-13

Title: Parse Eye-Tracking Data into Fixations
Description: Eye-tracking data must be transformed into fixations and saccades before it can be analyzed. This package provides a non-parametric speed-based approach to do this on a trial basis. The method is especially useful when there are large differences in data quality, as the thresholds are adjusted accordingly. The same pre-processing procedure can be applied to all participants, while accounting for individual differences in data quality.
Author: Daan van Renswoude & Ingmar Visser
Maintainer: Daan van Renswoude <D.R.vanRenswoude@uva.nl>

Diff between gazepath versions 1.2 dated 2017-03-13 and 1.3 dated 2020-02-09

 DESCRIPTION             |   14 ++---
 MD5                     |   21 ++++---
 NAMESPACE               |    2 
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 12 files changed, 49 insertions(+), 171 deletions(-)

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Package subgroup.discovery updated to version 0.3.1 with previous version 0.3.0 dated 2020-02-03

Title: Subgroup Discovery and Bump Hunting
Description: Developed to assist in discovering interesting subgroups in high-dimensional data. The PRIM implementation is based on the 1998 paper "Bump hunting in high-dimensional data" by Jerome H. Friedman and Nicholas I. Fisher <doi:10.1023/A:1008894516817>. PRIM involves finding a set of "rules" which combined imply unusually large values of some other target variable. Specifically one tries to find a set of sub regions in which the target variable is substantially larger than overall mean. The objective of bump hunting in general is to find regions in the input (attribute/feature) space with relatively high values for the target variable. The regions are described by simple rules of the type if: condition-1 and ... and condition-n then: estimated target value. Given the data (or a subset of the data), the goal is to produce a box B within which the target mean is as large as possible.
Author: Jurian Baas [aut, cre, cph], Ad Feelders [ctb]
Maintainer: Jurian Baas <j.baas@uu.nl>

Diff between subgroup.discovery versions 0.3.0 dated 2020-02-03 and 0.3.1 dated 2020-02-09

 DESCRIPTION               |    8 
 MD5                       |   34 -
 NAMESPACE                 |   44 -
 NEWS.md                   |   31 -
 R/RcppExports.R           |   38 -
 R/data.R                  |  370 ++++++++--------
 R/prim.R                  | 1020 +++++++++++++++++++++++-----------------------
 R/subgroup.discovery.R    |   16 
 README.md                 |   90 ++--
 man/plot.prim.peel.Rd     |    2 
 src/mapreduce.cpp         |  181 ++++----
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 src/prim.cpp              |   95 ++--
 src/prim.h                |   14 
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 tests/testthat.R          |    8 
 tests/testthat/testPrim.R |  102 ++--
 18 files changed, 1102 insertions(+), 1065 deletions(-)

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Package neverhpfilter updated to version 0.3-1 with previous version 0.2-0 dated 2018-01-24

Title: An Alternative to the Hodrick-Prescott Filter
Description: In the working paper titled "Why You Should Never Use the Hodrick-Prescott Filter", James D. Hamilton proposes a new alternative to economic time series filtering. The neverhpfilter package provides functions and data for reproducing his work. Hamilton (2017) <doi:10.3386/w23429>.
Author: Justin M. Shea [aut, cre]
Maintainer: Justin M. Shea <jshea@roosevelt.edu>

Diff between neverhpfilter versions 0.2-0 dated 2018-01-24 and 0.3-1 dated 2020-02-09

 neverhpfilter-0.2-0/neverhpfilter/tests/testthat                     |only
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 neverhpfilter-0.3-1/neverhpfilter/DESCRIPTION                        |   20 
 neverhpfilter-0.3-1/neverhpfilter/MD5                                |  121 
 neverhpfilter-0.3-1/neverhpfilter/NAMESPACE                          |   15 
 neverhpfilter-0.3-1/neverhpfilter/NEWS.md                            |   98 
 neverhpfilter-0.3-1/neverhpfilter/R/EXPGSC1.R                        |   60 
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 neverhpfilter-0.3-1/neverhpfilter/R/GCEC1.R                          |   60 
 neverhpfilter-0.3-1/neverhpfilter/R/GDPC1.R                          |   82 
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 neverhpfilter-0.3-1/neverhpfilter/R/GS10.R                           |   67 
 neverhpfilter-0.3-1/neverhpfilter/R/Hamilton_table_2.R               |   54 
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 neverhpfilter-0.3-1/neverhpfilter/R/PCECC96.R                        |   60 
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 neverhpfilter-0.3-1/neverhpfilter/R/UNRATENSA.R                      |   78 
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 neverhpfilter-0.3-1/neverhpfilter/README.md                          |  118 
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 neverhpfilter-0.3-1/neverhpfilter/data/SP500.RData                   |binary
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 neverhpfilter-0.3-1/neverhpfilter/data/USREC.RData                   |binary
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 neverhpfilter-0.3-1/neverhpfilter/inst/doc/Getting-started.Rmd       |only
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 neverhpfilter-0.3-1/neverhpfilter/inst/doc/Reproducing-Hamilton.Rmd  |  448 +--
 neverhpfilter-0.3-1/neverhpfilter/inst/doc/Reproducing-Hamilton.html | 1294 ++++------
 neverhpfilter-0.3-1/neverhpfilter/inst/tinytest                      |only
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 neverhpfilter-0.3-1/neverhpfilter/man/GCEC1.Rd                       |   76 
 neverhpfilter-0.3-1/neverhpfilter/man/GDPC1.Rd                       |   90 
 neverhpfilter-0.3-1/neverhpfilter/man/GDPDEF.Rd                      |   76 
 neverhpfilter-0.3-1/neverhpfilter/man/GPDIC1.Rd                      |   80 
 neverhpfilter-0.3-1/neverhpfilter/man/GS10.Rd                        |   79 
 neverhpfilter-0.3-1/neverhpfilter/man/Hamilton_table_2.Rd            |   70 
 neverhpfilter-0.3-1/neverhpfilter/man/IMPGSC1.Rd                     |   76 
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 64 files changed, 3133 insertions(+), 3091 deletions(-)

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New package MultiPhen with initial version 2.0.3
Package: MultiPhen
Type: Package
Title: A Package to Test for Multi-Trait Association
Version: 2.0.3
Date: 2020-02-06
Author: Lachlan Coin, Paul O'Reilly, Yotsawat Pompyen, Clive Hoggart and Federico Calboli
Depends: MASS, abind, epitools, meta
Imports: HardyWeinberg, RColorBrewer
Maintainer: Lachlan Coin <l.coin@imb.uq.edu.au>
Description: Performs genetic association tests between SNPs (one-at-a-time) and multiple phenotypes (separately or in joint model).
License: GPL-2
LazyLoad: yes
NeedsCompilation: no
Repository: CRAN
Packaged: 2020-02-09 12:36:27 UTC; lcoin
Date/Publication: 2020-02-09 13:50:02 UTC

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New package fixest with initial version 0.3.1
Package: fixest
Type: Package
Title: Fast Fixed-Effects Estimations
Version: 0.3.1
Authors@R: person("Laurent", "Berge", email = "laurent.berge@uni.lu", role = c("aut", "cre"))
Imports: stats, graphics, utils, Formula, MASS, numDeriv, nlme, Rcpp
Suggests: knitr, rmarkdown, data.table
LinkingTo: Rcpp
Depends: R(>= 3.1.0)
Description: Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), generalized linear models (GLM) and the negative binomial. The core of the package is based on optimized parallel C++ code, scaling especially well for large data sets. The method to obtain the fixed-effects coefficients is based on Berge (2018) <https://wwwen.uni.lu/content/download/110162/1299525/file/2018_13>. Further provides tools to export and view the results of several estimations with intuitive design to cluster the standard-errors.
License: GPL-3
BugReports: https://github.com/lrberge/fixest/issues
SystemRequirements: C++11
VignetteBuilder: knitr
LazyData: true
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-02-09 12:31:39 UTC; Laurent
Author: Laurent Berge [aut, cre]
Maintainer: Laurent Berge <laurent.berge@uni.lu>
Repository: CRAN
Date/Publication: 2020-02-09 14:00:03 UTC

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Package humanleague (with last version 2.1.0) was removed from CRAN

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

2018-12-05 2.1.0
2017-12-14 2.0.2

Permanent link
New package trimcluster with initial version 0.1-5
Package: trimcluster
Title: Cluster Analysis with Trimming
Version: 0.1-5
Date: 2020-02-08
VersionNote: Released 0.1-2.1 on 2018-07-20 on CRAN
Author: Christian Hennig <chrish@stats.ucl.ac.uk>
Depends: R (>= 1.9.0)
Suggests: fpc
Description: Trimmed k-means clustering. The method is described in Cuesta-Albertos et al. (1997) <doi:10.1214/aos/1031833664>.
Maintainer: Valentin Todorov <valentin.todorov@chello.at>
License: GPL
URL: http://www.homepages.ucl.ac.uk/~ucakche/
Packaged: 2020-02-08 18:29:38 UTC; Share
Repository: CRAN
Date/Publication: 2020-02-09 12:10:02 UTC
NeedsCompilation: no

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Package pedometrics updated to version 0.7.0 with previous version 0.6-6 dated 2015-12-03

Title: Miscellaneous Pedometric Tools
Description: An R implementation of some useful tools employed in the field of pedometrics.
Author: Alessandro Samuel-Rosa [aut, cre] (<https://orcid.org/0000-0003-0877-1320>), Lucia Helena Cunha dos Anjos [ths] (<https://orcid.org/0000-0003-0063-3521>), Gustavo Vasques [ths] (<https://orcid.org/0000-0001-9463-1898>), Gerard B M Heuvelink [ths] (<https://orcid.org/0000-0003-0959-9358>), Tony Olsen [ctb], Tom Kincaid [ctb], Juan Carlos Ruiz Cuetos [ctb], Maria Eugenia Polo Garcia [ctb], Pablo Garcia Rodriguez [ctb], Joshua French [ctb], Ken Kleinman [ctb], Dick Brus [ctb] (<https://orcid.org/0000-0003-2194-4783>), Frank Harrell Jr [ctb], Ruo Xu [ctb]
Maintainer: Alessandro Samuel-Rosa <alessandrosamuelrosa@gmail.com>

Diff between pedometrics versions 0.6-6 dated 2015-12-03 and 0.7.0 dated 2020-02-09

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 R/AAAA.R                   |    3 
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 R/bbox2sp.R                |   18 ++-
 R/cdfPlot.R                |    6 +
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 R/checkGMU.R               |    8 -
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Package PACVr updated to version 0.9.1 with previous version 0.8.2 dated 2019-09-13

Title: Plastome Assembly Coverage Visualization
Description: Visualizes the coverage depth of a complete plastid genome as well as the equality of its inverted repeat regions in relation to the circular, quadripartite genome structure and the location of individual genes. For more information, please see Gruenstaeudl and Jenke (2019) <doi:10.1101/697821>.
Author: Michael Gruenstaeudl [aut, cre], Nils Jenke [ctb]
Maintainer: Michael Gruenstaeudl <m.gruenstaeudl@fu-berlin.de>

Diff between PACVr versions 0.8.2 dated 2019-09-13 and 0.9.1 dated 2020-02-09

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Package ipmisc updated to version 1.1.0 with previous version 1.0.0 dated 2020-02-06

Title: Miscellaneous Functions for Data Cleaning and Analysis
Description: Provides functions needed for data cleaning and formatting and forms data cleaning and wrangling backend for the following packages: 'ggstatsplot', 'groupedstats', 'pairwiseComparisons', and 'statsExpressions'.
Author: Indrajeet Patil [aut, cre] (<https://orcid.org/0000-0003-1995-6531>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

Diff between ipmisc versions 1.0.0 dated 2020-02-06 and 1.1.0 dated 2020-02-09

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Package forecast updated to version 8.11 with previous version 8.10 dated 2019-12-05

Title: Forecasting Functions for Time Series and Linear Models
Description: Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
Author: Rob Hyndman [aut, cre, cph] (<https://orcid.org/0000-0002-2140-5352>), George Athanasopoulos [aut], Christoph Bergmeir [aut] (<https://orcid.org/0000-0002-3665-9021>), Gabriel Caceres [aut], Leanne Chhay [aut], Mitchell O'Hara-Wild [aut] (<https://orcid.org/0000-0001-6729-7695>), Fotios Petropoulos [aut] (<https://orcid.org/0000-0003-3039-4955>), Slava Razbash [aut], Earo Wang [aut], Farah Yasmeen [aut] (<https://orcid.org/0000-0002-1479-5401>), R Core Team [ctb, cph], Ross Ihaka [ctb, cph], Daniel Reid [ctb], David Shaub [ctb], Yuan Tang [ctb] (<https://orcid.org/0000-0001-5243-233X>), Zhenyu Zhou [ctb]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

Diff between forecast versions 8.10 dated 2019-12-05 and 8.11 dated 2020-02-09

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New package ggrisk with initial version 1.0
Package: ggrisk
Title: Risk Score Plot for Cox Regression
Version: 1.0
Authors@R: c( person("Jing","Zhang",role = c("aut", "cre"),email = "zj391120@163.com"), person("Zhi", "Jin", role="aut") )
Description: The risk plot may be one of the most commonly used figures in tumor genetic data analysis. We can conclude the following two points: Comparing the prediction results of the model with the real survival situation to see whether the survival rate of the high-risk group is lower than that of the low-level group, and whether the survival time of the high-risk group is shorter than that of the low-risk group. The other is to compare the heat map and scatter plot to see the correlation between the predictors and the outcome.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 2.10)
Imports: ggplot2, survival, egg, do, set, cutoff, fastStat, grid, rms, nomogramFormula
URL: https://github.com/yikeshu0611/ggrisk
BugReports: https://github.com/yikeshu0611/ggrisk/issues
NeedsCompilation: no
Packaged: 2020-01-28 07:27:05 UTC; asus
Author: Jing Zhang [aut, cre], Zhi Jin [aut]
Maintainer: Jing Zhang <zj391120@163.com>
Repository: CRAN
Date/Publication: 2020-02-09 12:10:05 UTC

More information about ggrisk at CRAN
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Package fastNaiveBayes updated to version 2.1.1 with previous version 2.1.0 dated 2019-08-28

Title: Extremely Fast Implementation of a Naive Bayes Classifier
Description: This is an extremely fast implementation of a Naive Bayes classifier. This package is currently the only package that supports a Bernoulli distribution, a Multinomial distribution, and a Gaussian distribution, making it suitable for both binary features, frequency counts, and numerical features. Another feature is the support of a mix of different event models. Only numerical variables are allowed, however, categorical variables can be transformed into dummies and used with the Bernoulli distribution. The implementation is largely based on the paper "A comparison of event models for Naive Bayes anti-spam e-mail filtering" written by K.M. Schneider (2003) <doi:10.3115/1067807.1067848>. Any issues can be submitted to: <https://github.com/mskogholt/fastNaiveBayes/issues>.
Author: Martin Skogholt
Maintainer: Martin Skogholt <m.skogholt@gmail.com>

Diff between fastNaiveBayes versions 2.1.0 dated 2019-08-28 and 2.1.1 dated 2020-02-09

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Package clustrd updated to version 1.3.7 with previous version 1.3.6-2 dated 2019-10-28

Title: Methods for Joint Dimension Reduction and Clustering
Description: A class of methods that combine dimension reduction and clustering of continuous, categorical or mixed-type data (Markos, Iodice D'Enza and van de Velden 2019; <DOI:10.18637/jss.v091.i10>). For continuous data, the package contains implementations of factorial K-means (Vichi and Kiers 2001; <DOI:10.1016/S0167-9473(00)00064-5>) and reduced K-means (De Soete and Carroll 1994; <DOI:10.1007/978-3-642-51175-2_24>); both methods that combine principal component analysis with K-means clustering. For categorical data, the package provides MCA K-means (Hwang, Dillon and Takane 2006; <DOI:10.1007/s11336-004-1173-x>), i-FCB (Iodice D'Enza and Palumbo 2013, <DOI:10.1007/s00180-012-0329-x>) and Cluster Correspondence Analysis (van de Velden, Iodice D'Enza and Palumbo 2017; <DOI:10.1007/s11336-016-9514-0>), which combine multiple correspondence analysis with K-means. For mixed-type data, it provides mixed Reduced K-means and mixed Factorial K-means (van de Velden, Iodice D'Enza and Markos 2019; <DOI:10.1002/wics.1456>), which combine PCA for mixed-type data with K-means.
Author: Angelos Markos [aut, cre], Alfonso Iodice D'Enza [aut], Michel van de Velden [aut]
Maintainer: Angelos Markos <amarkos@gmail.com>

Diff between clustrd versions 1.3.6-2 dated 2019-10-28 and 1.3.7 dated 2020-02-09

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Package cattonum updated to version 0.0.4 with previous version 0.0.3 dated 2019-12-17

Title: Encode Categorical Features
Description: Functions for aggregate encoding, dummy encoding, frequency encoding, label encoding, leave-one-out encoding, mean encoding, median encoding, and one-hot encoding.
Author: Bernie Gray [aut, cre] (<https://orcid.org/0000-0001-9190-6032>), Mark Roepke [ctb]
Maintainer: Bernie Gray <bfgray3@gmail.com>

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Package arrow updated to version 0.16.0 with previous version 0.15.1.1 dated 2019-11-05

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Romain François [aut] (<https://orcid.org/0000-0002-2444-4226>), Jeroen Ooms [aut], Neal Richardson [aut, cre], Javier Luraschi [ctb], Jeffrey Wong [ctb], Apache Arrow [aut, cph]
Maintainer: Neal Richardson <neal@ursalabs.org>

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New package unisensR with initial version 0.3.2
Package: unisensR
Type: Package
Title: Read 'Unisens' Data
Version: 0.3.2
Date: 2020-01-13
Authors@R: c( person("Martin", "Penzel", email = "Martin.Penzel@movisens.com", role = c("ctb","cre")), person("Jürgen", "Stumpp", email = "Stumpp@movisens.com", role = "aut"), person("Jörg", "Ottenbacher", role = "ctb"), person("Stephan", "Grund", role = "ctb"), person("movisens GmbH", role = "cph") )
Maintainer: Martin Penzel <Martin.Penzel@movisens.com>
Description: Provides the ability to read 'Unisens' data into R. 'Unisens' is a universal data format for multi sensor data.
Depends: R (>= 3.2.0)
Imports: XML (>= 1.0.0)
License: LGPL
URL: http://unisens.org/
BugReports: https://github.com/Unisens/unisensR/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-01-27 18:22:16 UTC; martin.penzel
Author: Martin Penzel [ctb, cre], Jürgen Stumpp [aut], Jörg Ottenbacher [ctb], Stephan Grund [ctb], movisens GmbH [cph]
Repository: CRAN
Date/Publication: 2020-02-09 11:10:02 UTC

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New package RecordTest with initial version 0.1.2
Package: RecordTest
Type: Package
Title: Inference Tools Based on Record Statistics
Version: 0.1.2
Date: 2020-01-27
Authors@R: c(person("Jorge", "Castillo-Mateo", role = c("aut","cre","cph"), email = "jorgecastillomateo@gmail.com", comment = c(ORCID = "0000-0003-3859-0248")), person("Ana C.", "Cebrián", role = "aut"), person("Jesús", "Asín", role = "dtc"))
Author: Jorge Castillo-Mateo [aut, cre, cph] (<https://orcid.org/0000-0003-3859-0248>), Ana C. Cebrián [aut], Jesús Asín [dtc]
Maintainer: Jorge Castillo-Mateo <jorgecastillomateo@gmail.com>
Depends: R (>= 2.10)
Imports: ggplot2
Description: Statistical tools based on probabilistic properties of the occurrence of records in a sequence X_t of independent and identically distributed random variables. More details on the objective of the library can be found with help(RecordTest-package).
License: GPL-3
URL: https://CRAN.R-project.org/package=RecordTest
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
RoxygenNote: 7.0.2
Packaged: 2020-01-27 22:56:00 UTC; jorge
Repository: CRAN
Date/Publication: 2020-02-09 11:30:02 UTC

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New package bayesCT with initial version 0.99.2
Package: bayesCT
Type: Package
Title: Simulation and Analysis of Adaptive Bayesian Clinical Trials
Version: 0.99.2
Authors@R: c(person(given = "Thevaa", family = "Chandereng", role = c("aut", "cre", "cph"), email = "chandereng@wisc.edu", comment = c(ORCID = "0000-0003-4078-9176")), person("Donald", "Musgrove", email = "donald.r.musgrove@medtronic.com", role = c("aut", "cph")), person("Tarek", "Haddad", email = "tarek.d.haddad@medtronic.com", role = c("aut", "cph")), person("Graeme", "Hickey", email = "graeme.l.hickey@medtronic.com", role = c("aut", "cph")), person("Timothy", "Hanson", email = "tim.hanson2@medtronic.com", role = c("aut", "cph")), person("Theodore", "Lystig", email = "theodore.lystig@medtronic.com", role = c("aut", "cph")))
Description: Simulation and analysis of Bayesian adaptive clinical trial, incorporates historical data and allows early stopping for futility or early success.
LazyLoad: yes
License: GPL-3
NeedsCompilation: no
URL: https://github.com/thevaachandereng/bayesCT/
BugReports: https://github.com/thevaachandereng/bayesCT/issues/
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat, rmarkdown, pkgdown, devtools, knitr
VignetteBuilder: knitr
Imports: bayesDP, dplyr, purrr, msm, survival, magrittr
Packaged: 2020-02-09 06:41:07 UTC; thevaasiinenchandereng
Author: Thevaa Chandereng [aut, cre, cph] (<https://orcid.org/0000-0003-4078-9176>), Donald Musgrove [aut, cph], Tarek Haddad [aut, cph], Graeme Hickey [aut, cph], Timothy Hanson [aut, cph], Theodore Lystig [aut, cph]
Maintainer: Thevaa Chandereng <chandereng@wisc.edu>
Repository: CRAN
Date/Publication: 2020-02-09 11:50:03 UTC

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Package ppclust updated to version 1.1.0 with previous version 0.1.3 dated 2019-07-23

Title: Probabilistic and Possibilistic Cluster Analysis
Description: Partitioning clustering divides the objects in a data set into non-overlapping subsets or clusters by using the prototype-based probabilistic and possibilistic clustering algorithms. This package covers a set of the functions for Fuzzy C-Means (Bezdek, 1974) <doi:10.1080/01969727308546047>, Possibilistic C-Means (Krishnapuram & Keller, 1993) <doi:10.1109/91.227387>, Possibilistic Fuzzy C-Means (Pal et al, 2005) <doi:10.1109/TFUZZ.2004.840099>, Possibilistic Clustering Algorithm (Yang et al, 2006) <doi:10.1016/j.patcog.2005.07.005>, Possibilistic C-Means with Repulsion (Wachs et al, 2006) <doi:10.1007/3-540-31662-0_6> and the other variants of hard and soft clustering algorithms. The cluster prototypes and membership matrices required by these partitioning algorithms are initialized with different initialization techniques that are available in the package 'inaparc'. As the distance metrics, not only the Euclidean distance but also a set of the commonly used distance metrics are available to use with some of the algorithms in the package.
Author: Zeynel Cebeci [aut, cre], Figen Yildiz [aut], Alper Tuna Kavlak [aut], Cagatay Cebeci [aut], Hasan Onder [aut]
Maintainer: Zeynel Cebeci <zcebeci@cukurova.edu.tr>

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Package raceland updated to version 1.0.4 with previous version 1.0.3 dated 2019-10-13

Title: Pattern-Based Zoneless Method for Analysis and Visualization of Racial Topography
Description: Implements a computational framework for a pattern-based, zoneless analysis, and visualization of (ethno)racial topography. It is a reimagined approach for analyzing residential segregation and racial diversity based on the concept of 'landscape’ used in the domain of landscape ecology.
Author: Jakub Nowosad [aut, cre] (<https://orcid.org/0000-0002-1057-3721>), Anna Dmowska [aut], Tomasz Stepinski [aut]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

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Package EMSHS (with last version 1.0.0) was removed from CRAN

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

2018-07-31 1.0.0

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Package jmotif (with last version 1.1.0) was removed from CRAN

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

2020-02-08 1.1.0

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Package baseflow (with last version 0.11.2) was removed from CRAN

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

2019-11-13 0.11.2

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Package trelliscopejs (with last version 0.1.18) was removed from CRAN

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

2019-01-09 0.1.18
2018-10-14 0.1.14

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Package EMMIXgene updated to version 0.1.2 with previous version 0.1.1 dated 2019-01-04

Title: A Mixture Model-Based Approach to the Clustering of Microarray Expression Data
Description: Provides unsupervised selection and clustering of microarray data using mixture models. Following the methods described in McLachlan, Bean and Peel (2002) <doi:10.1093/bioinformatics/18.3.413> a subset of genes are selected based one the likelihood ratio statistic for the test of one versus two components when fitting mixtures of t-distributions to the expression data for each gene. The dimensionality of this gene subset is further reduced through the use of mixtures of factor analyzers, allowing the tissue samples to be clustered by fitting mixtures of normal distributions.
Author: Andrew Thomas Jones
Maintainer: Andrew Thomas Jones <andrewthomasjones@gmail.com>

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