Fri, 08 Jun 2018

Package wavemulcor updated to version 2.2.1 with previous version 2.1.0 dated 2017-07-03

Title: Wavelet Routines for Global and Local Multiple Correlation
Description: Wavelet routines that calculate single sets of wavelet multiple correlations (WMC) and cross-correlations (WMCC) out of n variables. They can later be plotted in single graphs, as an alternative to trying to make sense out of several sets of wavelet correlations or wavelet cross-correlations. The code is based on the calculation, at each wavelet scale, of the square root of the coefficient of determination in a linear combination of variables for which such coefficient of determination is a maximum. The code provided here is based on the wave.correlation routine in Brandon Whitcher's waveslim R package Version: 1.6.4, which in turn is based on wavelet methodology developed in Percival and Walden (2000) <DOI:10.1017/CBO9780511841040>; Gençay, Selçuk and Whitcher (2002) <DOI:10.1016/B978-012279670-8.50013-6> and others. Version 2 incorporates wavelet local multiple correlations (WLMC). These are like the previous global WMC but consisting in one single set of multiscale correlations along time. That is, at each time t, they are calculated by letting a window of weighted wavelet coefficients around t move along time. Six weight functions are provided. Namely, the uniform window, Cleveland's tricube window, Epanechnikov's parabolic window, Bartlett's triangular window and Wendland's truncated power window and the Gaussian window. Version 2.2 incorporates an auxiliary function that calculates local multiple correlations (LMC). They are calculated by letting move along time a window of weighted time series values around t. Any of the six weight functions mentioned above can be used.
Author: Javier Fernandez-Macho [aut, cre]
Maintainer: Javier Fernandez-Macho <javier.fernandezmacho@ehu.es>

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Package later updated to version 0.7.3 with previous version 0.7.2 dated 2018-05-01

Title: Utilities for Delaying Function Execution
Description: Executes arbitrary R or C functions some time after the current time, after the R execution stack has emptied.
Author: Joe Cheng [aut, cre], RStudio [cph], Marcus Geelnard [ctb, cph] (TinyCThread library, https://tinycthread.github.io/), Evan Nemerson [ctb, cph] (TinyCThread library, https://tinycthread.github.io/)
Maintainer: Joe Cheng <joe@rstudio.com>

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Package bcp updated to version 4.0.2 with previous version 4.0.1 dated 2018-04-11

Title: Bayesian Analysis of Change Point Problems
Description: Provides an implementation of the Barry and Hartigan (1993) product partition model for the normal errors change point problem using Markov Chain Monte Carlo. It also extends the methodology to regression models on a connected graph (Wang and Emerson, 2015); this allows estimation of change point models with multivariate responses. Parallel MCMC, previously available in bcp v.3.0.0, is currently not implemented.
Author: Xiaofei Wang, Chandra Erdman, and John W. Emerson
Maintainer: Xiaofei Wang <xiaofei.wang@yale.edu>

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Package SWMPrExtension updated to version 0.3.15 with previous version 0.3.14 dated 2018-05-12

Title: Additional Functions for Retrieving, Organizing, and Analyzing Estuary Monitoring Data
Description: Additional tools for retrieving, organizing, and analyzing environmental data from the System Wide Monitoring Program of the National Estuarine Research Reserve System <http://cdmo.baruch.sc.edu/>. These tools address common challenges associated with continuous time series data for environmental decision making, and are intended for use in annual reporting activities.
Author: Julie Padilla [aut, cre], Marcus Beck [ctb], Bob Rudis [ctb]
Maintainer: Julie Padilla <jpadilla@limno.com>

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Package plotmo updated to version 3.4.1 with previous version 3.4.0 dated 2018-06-01

Title: Plot a Model's Residuals, Response, and Partial Dependence Plots
Description: Plot model surfaces for a wide variety of models using partial dependence plots and other techniques. Also plot model residuals and other information on the model.
Author: Stephen Milborrow
Maintainer: Stephen Milborrow <milbo@sonic.net>

Diff between plotmo versions 3.4.0 dated 2018-06-01 and 3.4.1 dated 2018-06-08

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Package Peptides updated to version 2.4 with previous version 2.3 dated 2018-03-18

Title: Calculate Indices and Theoretical Physicochemical Properties of Protein Sequences
Description: Includes functions to calculate several physicochemical properties and indices for amino-acid sequences as well as to read and plot 'XVG' output files from the 'GROMACS' molecular dynamics package.
Author: Daniel Osorio [aut, cre], Paola Rondon-Villarreal [aut, ths], Rodrigo Torres [aut, ths], J. Sebastian Paez [ctb]
Maintainer: Daniel Osorio <dcosorioh@unal.edu.co>

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Package fitDRC updated to version 1.1.1 with previous version 1.1 dated 2014-01-01

Title: Fitting Density Ratio Classes
Description: Fits Density Ratio Classes to elicited probability-quantile points or intervals.
Author: Simon L. Rinderknecht and Peter Reichert <peter.reichert@eawag.ch>
Maintainer: Peter Reichert <peter.reichert@eawag.ch>

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Package dqrng updated to version 0.0.4 with previous version 0.0.3 dated 2018-05-14

Title: Fast Pseudo Random Number Generators
Description: Several fast random number generators are provided as C++ header only libraries: The PCG family by O'Neill (2014 <https://www.cs.hmc.edu/tr/hmc-cs-2014-0905.pdf>) as well as Xoroshiro128+ and Xoshiro256+ by Blackman and Vigna (2018 <arXiv:1805.01407>). In addition fast functions for generating random numbers according to a uniform, normal and exponential distribution are included. The latter two use the Ziggurat algorithm originally proposed by Marsaglia and Tsang (2000, <doi:10.18637/jss.v005.i08>). These functions are exported to R and as a C++ interface and are enabled for use with the 64 bit version of the Mersenne-Twister by Matsumoto and Nishimura (1998 <doi:10.1145/272991.272995>), the default 64 bit generator from the PCG family as well as Xoroshiro128+ and Xoshiro256+.
Author: Ralf Stubner [aut, cre], daqana GmbH [cph], David Blackman [ctb], Melissa O'Neill [ctb], Sebastiano Vigna [ctb]
Maintainer: Ralf Stubner <ralf.stubner@daqana.com>

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Package rjson updated to version 0.2.20 with previous version 0.2.19 dated 2018-05-18

Title: JSON for R
Description: Converts R object into JSON objects and vice-versa.
Author: Alex Couture-Beil <rjson_pkg@mofo.ca>
Maintainer: Alex Couture-Beil <rjson_pkg@mofo.ca>

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Package IBCF.MTME updated to version 1.3-2 with previous version 1.2-5 dated 2018-02-22

Title: Item Based Collaborative Filtering for Multi-Trait and Multi-Environment Data
Description: Implements the item based collaborative filtering (IBCF) method for continues phenotypes in the context of plant breeding where data are collected for various traits that were studied in various environments proposed by Montesinos-López et al. (2017) <doi:10.1534/g3.117.300309>.
Author: Francisco Javier Luna-Vazquez [aut, cre], Osval Antonio Montesinos-Lopez [aut], Abelardo Montesinos-Lopez [aut], Jose Crossa [aut]
Maintainer: Francisco Javier Luna-Vazquez <frahik@gmail.com>

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Package blackbox updated to version 1.1.25 with previous version 1.1.7 dated 2017-11-03

Title: Black Box Optimization and Exploration of Parameter Space
Description: Performs prediction of a response function from simulated response values, allowing black-box optimization of functions estimated with some error. Includes a simple user interface for such applications, as well as more specialized functions designed to be called by the Migraine software (Rousset and Leblois, 2012 <doi:10.1093/molbev/MSR262>; Leblois et al., 2014 <doi:10.1093/molbev/msu212>; and see URL). The latter functions are used for prediction of likelihood surfaces and implied likelihood ratio confidence intervals, and for exploration of predictor space of the surface. Prediction of the response is based on ordinary Kriging (with residual error) of the input. Estimation of smoothing parameters is performed by generalized cross-validation.
Author: François Rousset [aut, cre, cph], Raphaël Leblois [ctb]
Maintainer: François Rousset <francois.rousset@umontpellier.fr>

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Package gap updated to version 1.1-22 with previous version 1.1-21 dated 2018-01-24

Title: Genetic Analysis Package
Description: It is designed as an integrated package for genetic data analysis of both population and family data. Currently, it contains functions for sample size calculations of both population-based and family-based designs, probability of familial disease aggregation, kinship calculation, statistics in linkage analysis, and association analysis involving genetic markers including haplotype analysis with or without environmental covariates.
Author: Jing Hua Zhao and colleagues with inputs from Kurt Hornik and Brian Ripley
Maintainer: Jing Hua Zhao <jinghuazhao@hotmail.com>

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Package gamlss updated to version 5.1-0 with previous version 5.0-8 dated 2018-04-30

Title: Generalised Additive Models for Location Scale and Shape
Description: Functions for fitting the Generalized Additive Models for Location Scale and Shape introduced by Rigby and Stasinopoulos (2005), <doi:10.1111/j.1467-9876.2005.00510.x>. The models use a distributional regression approach where all the parameters of the conditional distribution of the response variable are modelled using explanatory variables.
Author: Mikis Stasinopoulos [aut, cre, cph], Bob Rigby [aut], Vlasios Voudouris [ctb], Calliope Akantziliotou [ctb], Marco Enea [ctb], Daniil Kiose [ctb]
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>

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Package BART updated to version 1.7 with previous version 1.6 dated 2018-03-20

Title: Bayesian Additive Regression Trees
Description: Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous, binary, categorical and time-to-event outcomes. For more information on BART, see Chipman, George and McCulloch (2010) <doi:10.1214/09-AOAS285> and Sparapani, Logan, McCulloch and Laud (2016) <doi:10.1002/sim.6893>.
Author: Robert McCulloch [aut], Rodney Sparapani [aut, cre], Robert Gramacy [aut], Charles Spanbauer [aut], Matthew Pratola [aut], Bill Venables [ctb], Brian Ripley [ctb]
Maintainer: Rodney Sparapani <rsparapa@mcw.edu>

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Package understandBPMN updated to version 1.1.0 with previous version 1.0.0 dated 2018-03-14

Title: Calculator of Understandability Metrics for BPMN
Description: Calculate several understandability metrics of BPMN models. BPMN stands for business process modelling notation and is a language for expressing business processes into business process diagrams. Examples of these understandability metrics are: average connector degree, maximum connector degree, sequentiality, cyclicity, diameter, depth, token split, control flow complexity, connector mismatch, connector heterogeneity, separability, structuredness and cross connectivity. See R documentation and paper on metric implementation included in this package for more information concerning the metrics.
Author: Jonas Lieben
Maintainer: Jonas Lieben <jonas.lieben@uhasselt.be>

Diff between understandBPMN versions 1.0.0 dated 2018-03-14 and 1.1.0 dated 2018-06-08

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Package TunePareto updated to version 2.5 with previous version 2.4 dated 2014-03-31

Title: Multi-Objective Parameter Tuning for Classifiers
Description: Generic methods for parameter tuning of classification algorithms using multiple scoring functions.
Author: Christoph Müssel, Ludwig Lausser, Hans Kestler
Maintainer: Hans Kestler <hans.kestler@uni-ulm.de>

Diff between TunePareto versions 2.4 dated 2014-03-31 and 2.5 dated 2018-06-08

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Package equateIRT updated to version 2.0-5 with previous version 2.0-4 dated 2017-11-02

Title: IRT Equating Methods
Description: Computation of direct, chain and average (bisector) equating coefficients with standard errors using Item Response Theory (IRT) methods for dichotomous items. Test scoring can be performed by true score equating and observed score equating methods (Battauz M. (2013) <doi:10.1007/s11336-012-9316-y>, Battauz M. (2015) <doi:10.18637/jss.v068.i07>).
Author: Michela Battauz
Maintainer: Michela Battauz <michela.battauz@uniud.it>

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Package dlsem updated to version 2.3 with previous version 2.2 dated 2018-03-03

Title: Distributed-Lag Linear Structural Equation Models
Description: Inference functionalities for distributed-lag linear structural equation models (DLSEMs). DLSEMs are Markovian structural causal models (Pearl, 2000, Chapter 5) <ISBN:978-0-521-89560-6>, where each factor of the joint probability distribution is a distributed-lag linear regression model (Judge et al., 1985, Chapters 9-10) <ISBN: 978-0-471-89530-5>. DLSEMs account for temporal delays in the dependence relationships among the variables and allow to perform dynamic causal inference by assessing causal effects at different time lags. Endpoint-constrained quadratic, quadratic decreasing and gamma lag shapes are available.
Author: Alessandro Magrini
Maintainer: Alessandro Magrini <magrini@disia.unifi.it>

Diff between dlsem versions 2.2 dated 2018-03-03 and 2.3 dated 2018-06-08

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Package bigQueryR updated to version 0.4.0 with previous version 0.3.2 dated 2017-10-23

Title: Interface with Google BigQuery with Shiny Compatibility
Description: Interface with 'Google BigQuery', see <https://cloud.google.com/bigquery/> for more information. This package uses 'googleAuthR' so is compatible with similar packages, including 'Google Cloud Storage' (<https://cloud.google.com/storage/>) for result extracts.
Author: Mark Edmondson [aut, cre], Hadley Wickham [ctb]
Maintainer: Mark Edmondson <r@sunholo.com>

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Package stringdist updated to version 0.9.5.1 with previous version 0.9.5.0 dated 2018-06-07

Title: Approximate String Matching and String Distance Functions
Description: Implements an approximate string matching version of R's native 'match' function. Can calculate various string distances based on edits (Damerau-Levenshtein, Hamming, Levenshtein, optimal sting alignment), qgrams (q- gram, cosine, jaccard distance) or heuristic metrics (Jaro, Jaro-Winkler). An implementation of soundex is provided as well. Distances can be computed between character vectors while taking proper care of encoding or between integer vectors representing generic sequences. This package is built for speed and runs in parallel by using 'openMP'. An API for C or C++ is exposed as well.
Author: Mark van der Loo [aut, cre], Jan van der Laan [ctb], R Core Team [ctb], Nick Logan [ctb], Chris Muir [ctb]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

Diff between stringdist versions 0.9.5.0 dated 2018-06-07 and 0.9.5.1 dated 2018-06-08

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Package rgeos updated to version 0.3-28 with previous version 0.3-27 dated 2018-06-01

Title: Interface to Geometry Engine - Open Source ('GEOS')
Description: Interface to Geometry Engine - Open Source ('GEOS') using the C 'API' for topology operations on geometries. The 'GEOS' library is external to the package, and, when installing the package from source, must be correctly installed first. Windows and Mac Intel OS X binaries are provided on 'CRAN'.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Colin Rundel [aut], Edzer Pebesma [ctb], Rainer Stuetz [ctb], Karl Ove Hufthammer [ctb], Patrick Giraudoux [ctb], Martin Davis [cph, ctb], Sandro Santilli [cph, ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between rgeos versions 0.3-27 dated 2018-06-01 and 0.3-28 dated 2018-06-08

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More information about rgeos at CRAN
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Package reticulate updated to version 1.8 with previous version 1.7 dated 2018-04-28

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: JJ Allaire [aut, cre], Kevin Ushey [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] (<https://orcid.org/0000-0001-5243-233X>), Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Marcus Geelnard [ctb, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/)
Maintainer: JJ Allaire <jj@rstudio.com>

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Package Luminescence updated to version 0.8.5 with previous version 0.8.4 dated 2018-04-20

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] (<https://orcid.org/0000-0002-0734-2199>), Christoph Burow [aut, trl, dtc] (<https://orcid.org/0000-0002-5023-4046>), Michael Dietze [aut] (<https://orcid.org/0000-0001-6063-1726>), Margret C. Fuchs [aut], Christoph Schmidt [aut] (<https://orcid.org/0000-0002-2309-3209>), Manfred Fischer [aut, trl], Johannes Friedrich [aut] (<https://orcid.org/0000-0002-0805-9547>), Norbert Mercier [ctb], Rachel K. Smedley [ctb] (<https://orcid.org/0000-0001-7773-5193>), Claire Christophe [ctb], Antoine Zink [ctb], Julie Durcan [ctb] (<https://orcid.org/0000-0001-8724-8022>), Georgina E. King [ctb, dtc] (<https://orcid.org/0000-0003-1059-8192>), Anne Philippe [ctb], Guillaume Guerin [ctb] (<https://orcid.org/0000-0001-6298-5579>), Markus Fuchs [ths]
Maintainer: Sebastian Kreutzer <sebastian.kreutzer@u-bordeaux-montaigne.fr>

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Package LSAmitR updated to version 1.0-2 with previous version 1.0-1 dated 2018-01-19

Title: Daten, Beispiele und Funktionen zu 'Large-Scale Assessment mit R'
Description: Dieses R-Paket stellt Zusatzmaterial in Form von Daten, Funktionen und R-Hilfe-Seiten für den Herausgeberband Breit, S. und Schreiner, C. (Hrsg.). (2016). "Large-Scale Assessment mit R: Methodische Grundlagen der österreichischen Bildungsstandardüberprüfung." Wien: facultas. (ISBN: 978-3-7089-1343-8, <https://www.bifie.at/node/3770>) zur Verfügung.
Author: Thomas Kiefer [aut, cre], Alexander Robitzsch [aut], Matthias Trendtel [aut], Robert Fellinger [aut]
Maintainer: Thomas Kiefer <t.kiefer@bifie.at>

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Package fs updated to version 1.2.3 with previous version 1.2.2 dated 2018-03-21

Title: Cross-Platform File System Operations Based on 'libuv'
Description: A cross-platform interface to file system operations, built on top of the 'libuv' C library.
Author: Jim Hester [aut, cre], Hadley Wickham [aut], libuv project contributors [cph] (libuv library), Joyent, Inc. and other Node contributors [cph] (libuv library), RStudio [cph, fnd]
Maintainer: Jim Hester <james.f.hester@gmail.com>

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Package valr updated to version 0.4.1 with previous version 0.4.0 dated 2018-01-25

Title: Genome Interval Arithmetic in R
Description: Read and manipulate genome intervals and signals. Provides functionality similar to command-line tool suites within R, enabling interactive analysis and visualization of genome-scale data.
Author: Jay Hesselberth [aut, cre] (<https://orcid.org/0000-0002-6299-179X>), Kent Riemondy [aut] (<https://orcid.org/0000-0003-0750-1273>)
Maintainer: Jay Hesselberth <jay.hesselberth@gmail.com>

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Package CompRandFld updated to version 1.0.3-5 with previous version 1.0.3-4 dated 2015-02-01

Title: Composite-Likelihood Based Analysis of Random Fields
Description: A set of procedures for the analysis of Random Fields using likelihood and non-standard likelihood methods is provided. Spatial analysis often involves dealing with large dataset. Therefore even simple studies may be too computationally demanding. Composite likelihood inference is emerging as a useful tool for mitigating such computational problems. This methodology shows satisfactory results when compared with other techniques such as the tapering method. Moreover, composite likelihood (and related quantities) have some useful properties similar to those of the standard likelihood.
Author: Simone Padoan[aut, cre] <simone.padoan@unibocconi.it>, Moreno Bevilacqua[aut] <moreno.bevilacqua@uv.cl>
Maintainer: Simone Padoan <simone.padoan@unibocconi.it>

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Package TcGSA updated to version 0.11.1 with previous version 0.10.5 dated 2017-05-03

Title: Time-Course Gene Set Analysis
Description: Implementation of Time-course Gene Set Analysis (TcGSA), a method for analyzing longitudinal gene-expression data at the gene set level.
Author: Boris P. Hejblum [aut, cre], Damien Chimits [aut], Anthony Devaux [aut]
Maintainer: Boris P. Hejblum <boris.hejblum@u-bordeaux.fr>

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Package pinp updated to version 0.0.5 with previous version 0.0.4 dated 2017-11-04

Title: 'pinp' is not 'PNAS'
Description: A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Sciences of the United States of America' ('PNAS', see <https://www.pnas.org>) 'LaTeX' style, and adapted for use with 'markdown' and 'pandoc'.
Author: Dirk Eddelbuettel and James Balamuta
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package RgoogleMaps updated to version 1.4.2 with previous version 1.4.1 dated 2016-09-18

Title: Overlays on Static Maps
Description: Serves two purposes: (i) Provide a comfortable R interface to query the Google server for static maps, and (ii) Use the map as a background image to overlay plots within R. This requires proper coordinate scaling.
Author: Markus Loecher
Maintainer: Markus Loecher <markus.loecher@gmail.com>

Diff between RgoogleMaps versions 1.4.1 dated 2016-09-18 and 1.4.2 dated 2018-06-08

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Package ggeffects updated to version 0.3.4 with previous version 0.3.3 dated 2018-05-06

Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Description: Compute marginal effects at the mean or average marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are ggpredict() and ggaverage(), however, there are some convenient wrapper-functions especially for polynomials or interactions. There is a generic plot()-method to plot the results using 'ggplot2'.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package bivrp updated to version 1.1 with previous version 1.0 dated 2016-12-16

Title: Bivariate Residual Plots with Simulation Polygons
Description: Generates bivariate residual plots with simulation polygons for any diagnostics and bivariate model from which functions to extract the desired diagnostics, simulate new data and refit the models are available.
Author: Rafael de Andrade Moral [aut, cre], John Hinde [aut], Clarice Garcia Borges Demetrio [aut]
Maintainer: Rafael de Andrade Moral <rafael_moral@yahoo.com.br>

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Package STARTS updated to version 0.4-24 with previous version 0.3-24 dated 2018-03-21

Title: Functions for the STARTS Model
Description: Contains functions for estimating the STARTS model of Kenny and Zautra (1995, 2001) <DOI:10.1037/0022-006X.63.1.52>, <DOI:10.1037/10409-008>. Penalized maximum likelihood estimation and Markov Chain Monte Carlo estimation are also provided, see Luedtke, Robitzsch and Wagner (2017) <DOI:10.1037/met0000155>.
Author: Alexander Robitzsch [aut,cre], Oliver Luedtke [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

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Package rgdal updated to version 1.3-2 with previous version 1.3-1 dated 2018-06-03

Title: Bindings for the 'Geospatial' Data Abstraction Library
Description: Provides bindings to the 'Geospatial' Data Abstraction Library ('GDAL') (>= 1.11.4) and access to projection/transformation operations from the 'PROJ.4' library. The 'GDAL' and 'PROJ.4' libraries are external to the package, and, when installing the package from source, must be correctly installed first. Both 'GDAL' raster and 'OGR' vector map data can be imported into R, and 'GDAL' raster data and 'OGR' vector data exported. Use is made of classes defined in the 'sp' package. Windows and Mac Intel OS X binaries (including 'GDAL', 'PROJ.4' and 'Expat') are provided on 'CRAN'.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Tim Keitt [aut], Barry Rowlingson [aut, ctb], Edzer Pebesma [ctb], Michael Sumner [ctb], Robert Hijmans [ctb], Even Rouault [cph, ctb], Frank Warmerdam [cph, ctb], Jeroen Ooms [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package naniar updated to version 0.3.1 with previous version 0.3.0 dated 2018-06-07

Title: Data Structures, Summaries, and Visualisations for Missing Data
Description: Missing values are ubiquitous in data and need to be explored and handled in the initial stages of analysis. 'naniar' provides data structures and functions that facilitate the plotting of missing values and examination of imputations. This allows missing data dependencies to be explored with minimal deviation from the common work patterns of 'ggplot2' and tidy data.
Author: Nicholas Tierney [aut, cre] (<https://orcid.org/0000-0003-1460-8722>), Di Cook [aut] (<https://orcid.org/0000-0002-3813-7155>), Miles McBain [aut] (<https://orcid.org/0000-0003-2865-2548>), Colin Fay [aut] (<https://orcid.org/0000-0001-7343-1846>), Jim Hester [ctb], Luke Smith [ctb]
Maintainer: Nicholas Tierney <nicholas.tierney@gmail.com>

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Package MOCCA updated to version 1.3 with previous version 1.2 dated 2012-12-24

Title: Multi-Objective Optimization for Collecting Cluster Alternatives
Description: Provides methods to analyze cluster alternatives based on multi-objective optimization of cluster validation indices. For details see Kraus et al. (2011) <doi:10.1007/s00180-011-0244-6>.
Author: Johann Kraus <johann.kraus@uni-ulm.de>
Maintainer: Hans Kestler <hans.kestler@uni-ulm.de>

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Package MultNonParam updated to version 1.2.6 with previous version 1.2.5 dated 2016-10-20

Title: Multivariate Nonparametric Methods
Description: A collection of multivariate nonparametric methods, selected in part to support an MS level course in nonparametric statistical methods. Methods include adjustments for multiple comparisons, implementation of multivariate Mann-Whitney-Wilcoxon testing, inversion of these tests to produce a confidence region, some permutation tests for linear models, and some algorithms for calculating exact probabilities associated with one- and two- stage testing involving Mann-Whitney-Wilcoxon statistics.
Author: John E. Kolassa [cre], Stephane Jankowski [aut]
Maintainer: John E. Kolassa <kolassa@stat.rutgers.edu>

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Package elliplot updated to version 1.2.0 with previous version 1.1.1 dated 2013-09-29

Title: Ellipse Summary Plot of Quantiles
Description: Correlation chart of two set (x and y) of data. Using Quantiles. Visualize the effect of factor.
Author: Shinichiro Tomizono
Maintainer: Shinichiro Tomizono <cowares@gmail.com>

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Package diaplt updated to version 1.3.0 with previous version 1.2.1 dated 2013-11-13

Title: Beads Summary Plot of Ranges
Description: Visualize one-factor data frame. Beads plot consists of diamonds of each factor of each data series. A diamond indicates average and range. Look over a data frame with many numeric columns and a factor column.
Author: Shinichiro Tomizono
Maintainer: Shinichiro Tomizono <cowares@gmail.com>

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Package boxplotdbl updated to version 1.3.0 with previous version 1.2.2 dated 2013-11-24

Title: Double Box Plot for Two-Axes Correlation
Description: Correlation chart of two set (x and y) of data. Using Quartiles with boxplot style. Visualize the effect of factor.
Author: Shinichiro Tomizono
Maintainer: Shinichiro Tomizono <cowares@gmail.com>

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