Thu, 18 Oct 2018

Package hisse updated to version 1.8.7 with previous version 1.8.6 dated 2018-09-25

Title: Hidden State Speciation and Extinction
Description: Sets up and executes a HiSSE model (Hidden State Speciation and Extinction) on a phylogeny and character sets to test for hidden shifts in trait dependent rates of diversification. Beaulieu and O'Meara (2016) <doi:10.1093/sysbio/syw022>.
Author: Jeremy Beaulieu [aut, cre], Brian O'Meara [aut], Daniel Caetano [aut]
Maintainer: Jeremy Beaulieu <jbeaulieu@nimbios.org>

Diff between hisse versions 1.8.6 dated 2018-09-25 and 1.8.7 dated 2018-10-18

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Package bsplinePsd updated to version 0.6.0 with previous version 0.5.0 dated 2018-04-06

Title: Bayesian Nonparametric Spectral Density Estimation Using B-Spline Priors
Description: Implementation of a Metropolis-within-Gibbs MCMC algorithm to flexibly estimate the spectral density of a stationary time series. The algorithm updates a nonparametric B-spline prior using the Whittle likelihood to produce pseudo-posterior samples and is based on the work presented in Edwards, M.C., Meyer, R. and Christensen, N., Statistics and Computing (2018). <doi.org/10.1007/s11222-017-9796-9>.
Author: Matthew C. Edwards [aut, cre], Renate Meyer [aut], Nelson Christensen [aut]
Maintainer: Matthew C. Edwards <matt.edwards@auckland.ac.nz>

Diff between bsplinePsd versions 0.5.0 dated 2018-04-06 and 0.6.0 dated 2018-10-18

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Package charlatan updated to version 0.3.0 with previous version 0.2.2 dated 2018-07-06

Title: Make Fake Data
Description: Make fake data, supporting addresses, person names, dates, times, colors, coordinates, currencies, digital object identifiers ('DOIs'), jobs, phone numbers, 'DNA' sequences, doubles and integers from distributions and within a range.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Kyle Voytovich [aut], Martin Pedersen [ctb], Brooke Anderson [rev] (Brooke Anderson reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/94), Tristan Mahr [rev] (Tristan Mahr reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/94)
Maintainer: Scott Chamberlain <myrmecocystus+r@gmail.com>

Diff between charlatan versions 0.2.2 dated 2018-07-06 and 0.3.0 dated 2018-10-18

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Package Surrogate updated to version 1.1 with previous version 1.0 dated 2018-10-10

Title: Evaluation of Surrogate Endpoints in Clinical Trials
Description: In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a (bio)marker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, information-theoretic, and causal-inference frameworks. Part of this software has been developed using funding provided from the European Union's Seventh Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.
Author: Wim Van der Elst, Paul Meyvisch, Alvaro Florez Poveda, Ariel Alonso, Hannah M. Ensor, Christopher J. Weir & Geert Molenberghs
Maintainer: Wim Van der Elst <Wim.vanderelst@gmail.com>

Diff between Surrogate versions 1.0 dated 2018-10-10 and 1.1 dated 2018-10-18

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More information about Surrogate at CRAN
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Package roptim updated to version 0.1.1 with previous version 0.1.0 dated 2018-09-30

Title: General Purpose Optimization in R using C++
Description: Perform general purpose optimization in R using C++. A unified wrapper interface is provided to call C functions of the five optimization algorithms ('Nelder-Mead', 'BFGS', 'CG', 'L-BFGS-B' and 'SANN') underlying optim().
Author: Yi Pan [aut, cre]
Maintainer: Yi Pan <ypan1988@gmail.com>

Diff between roptim versions 0.1.0 dated 2018-09-30 and 0.1.1 dated 2018-10-18

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More information about roptim at CRAN
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Package covr updated to version 3.2.1 with previous version 3.2.0 dated 2018-09-21

Title: Test Coverage for Packages
Description: Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' <http://codecov.io> or 'Coveralls' <http://coveralls.io>. Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code.
Author: Jim Hester [aut, cre], Willem Ligtenberg [ctb], Kirill Müller [ctb], Henrik Bengtsson [ctb], Steve Peak [ctb], Kirill Sevastyanenko [ctb], Jon Clayden [ctb], Robert Flight [ctb], Eric Brown [ctb], Brodie Gaslam [ctb], Will Beasley [ctb], Robert Krzyzanowski [ctb], Markus Wamser [ctb], Karl Forner [ctb], Gergely Daróczi [ctb], Jouni Helske [ctb], Kun Ren [ctb], Jeroen Ooms [ctb], Ken Williams [ctb], Chris Campbell [ctb], David Hugh-Jones [ctb], Qin Wang [ctb], Ivan Sagalaev [ctb, cph] (highlight.js library), Mark Otto [ctb] (Bootstrap library), Jacob Thornton [ctb] (Bootstrap library), Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library)
Maintainer: Jim Hester <james.f.hester@gmail.com>

Diff between covr versions 3.2.0 dated 2018-09-21 and 3.2.1 dated 2018-10-18

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Package NLPutils updated to version 0.0-5 with previous version 0.0-4 dated 2016-12-08

Title: Natural Language Processing Utilities
Description: Utilities for Natural Language Processing.
Author: Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>)
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between NLPutils versions 0.0-4 dated 2016-12-08 and 0.0-5 dated 2018-10-18

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Package NLP updated to version 0.2-0 with previous version 0.1-11 dated 2017-08-15

Title: Natural Language Processing Infrastructure
Description: Basic classes and methods for Natural Language Processing.
Author: Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>)
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between NLP versions 0.1-11 dated 2017-08-15 and 0.2-0 dated 2018-10-18

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New package KODAMA with initial version 1.5
Package: KODAMA
Version: 1.5
Date: 2018-10-18
Author: Stefano Cacciatore, Leonardo Tenori, Claudio Luchinat, Phillip R. Bennett, and David A. MacIntyre
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>
Title: Knowledge Discovery by Accuracy Maximization
Description: KODAMA algorithm is an unsupervised and semi-supervised learning algorithm that performs feature extraction from noisy and high-dimensional data. It facilitates identification of patterns representing underlying groups on all samples in a data set. The algorithm was published by Cacciatore et al. 2014 <DOI:10.1073/pnas.1220873111>. Addition functions was introduced by Cacciatore et al. 2017 <DOI:10.1093/bioinformatics/btw705> to facilitate the identification of key features associated with the generated output and are easily interpretable for the user. Cross-validated techniques are also included in this package.
Depends: R (>= 2.10.0), stats
Imports: Rcpp (>= 0.12.4)
LinkingTo: Rcpp, RcppArmadillo
Suggests: rgl, knitr, rmarkdown
VignetteBuilder: knitr
SuggestsNote: No suggestions
License: GPL (>= 2)
Packaged: 2018-10-18 13:19:03 UTC; Stefano
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2018-10-18 15:20:07 UTC

More information about KODAMA at CRAN
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Package evaluator updated to version 0.3.1 with previous version 0.3.0 dated 2018-07-02

Title: Quantified Risk Assessment Toolkit
Description: An open source risk analysis toolkit based on the OpenFAIR taxonomy <https://www2.opengroup.org/ogsys/catalog/C13K> and risk assessment standard <https://www2.opengroup.org/ogsys/catalog/C13G>. Empowers an organization to perform a quantifiable, repeatable, and data-driven risk review.
Author: David Severski [aut, cre] (<https://orcid.org/0000-0001-7867-0459>)
Maintainer: David Severski <davidski@deadheaven.com>

Diff between evaluator versions 0.3.0 dated 2018-07-02 and 0.3.1 dated 2018-10-18

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Package CoordinateCleaner updated to version 2.0-2 with previous version 1.0-7 dated 2018-03-23

Title: Automated Cleaning of Occurrence Records from Biological Collections
Description: Automated flagging of common spatial and temporal errors in biological and paleontological collection data, for the use in conservation, ecology and paleontology. Includes automated tests to easily flag (and exclude) records assigned to country or province centroid, the open ocean, the headquarters of the Global Biodiversity Information Facility, urban areas or the location of biodiversity institutions (museums, zoos, botanical gardens, universities). Furthermore identifies per species outlier coordinates, zero coordinates, identical latitude/longitude and invalid coordinates. Also implements an algorithm to identify data sets with a significant proportion of rounded coordinates. Especially suited for large data sets.
Author: Alexander Zizka [aut, cre], Daniele Silvestro [ctb], Tobias Andermann [ctb], Josue Azevedo [ctb], Camila Duarte Ritter [ctb], Daniel Edler [ctb], Harith Farooq [ctb], Andrei Herdean [ctb], Maria Ariza [ctb], Ruud Scharn [ctb], Sten Svanteson [ctb], Niklas Wengstrom [ctb], Vera Zizka [ctb], Alexandre Antonelli [ctb], Irene Steves [rev] (Irene reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/210>), Francisco Rodriguez-Sanchez [rev] (Francisco reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/210>)
Maintainer: Alexander Zizka <zizka.alexander@gmail.com>

Diff between CoordinateCleaner versions 1.0-7 dated 2018-03-23 and 2.0-2 dated 2018-10-18

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Package BMSC updated to version 0.1.1 with previous version 0.1 dated 2018-08-05

Title: Bayesian Model Selection under Constraints
Description: A Bayesian regression package supporting constrained coefficient estimation and variable selection using Stan. This includes a robust variable selection algorithm by a horseshoe prior (<doi:10.1093/biomet/asq017>) that finds the optimal model considering main effects, interactions as well as powers of given variables under potential parameter constraints.
Author: Marcus Groß [aut, cre], Ricardo Fernandes [aut], Mira Celine Klein [ctb]
Maintainer: Marcus Groß <marcus.gross@inwt-statistics.de>

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Package PowerUpR updated to version 1.0.1 with previous version 1.0.0 dated 2018-05-16

Title: Power Analysis Tools for Multilevel Randomized Experiments
Description: Includes tools to calculate statistical power, minimum detectable effect size, and minimum required sample size for various multilevel randomized experiments with continuous outcomes. Some of the functions can assist with planning two- and three-level cluster-randomized trials (CRTs) sensitive to moderation effects, and with planning two-level CRTs sensitive to 2-2-1 and 2-1-1 mediation effects. See 'PowerUp!' series at <https://www.causalevaluation.org/>.
Author: Metin Bulus [aut, cre, trl], Nianbo Dong [aut], Benjamin Kelcey [aut], Jessaca Spybrook [aut]
Maintainer: Metin Bulus <bulusmetin@gmail.com>

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Package sdpt3r updated to version 0.2 with previous version 0.1 dated 2017-09-04

Title: Semi-Definite Quadratic Linear Programming Solver
Description: Solves the general Semi-Definite Linear Programming formulation using an R implementation of SDPT3 (K.C. Toh, M.J. Todd, and R.H. Tutuncu (1999) <doi:10.1080/10556789908805762>). This includes problems such as the nearest correlation matrix problem (Higham (2002) <doi:10.1093/imanum/22.3.329>), D-optimal experimental design (Smith (1918) <doi:10.2307/2331929>), Distance Weighted Discrimination (Marron and Todd (2012) <doi:10.1198/016214507000001120>), as well as graph theory problems including the maximum cut problem. Technical details surrounding SDPT3 can be found in R.H Tutuncu, K.C. Toh, and M.J. Todd (2003) <doi:10.1007/s10107-002-0347-5>.
Author: Kim-Chuan Toh (Matlab/C), Micheal Todd (Matlab/C), Reha Tutunco (Matlab/C), Adam Rahman (R/C Headers), Timothy A. Davis (symamd C code), Stefan I. Larimore (symamd C code)
Maintainer: Adam Rahman <a45rahma@uwaterloo.ca>

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Package onewaytests updated to version 1.9 with previous version 1.8 dated 2018-08-13

Title: One-Way Tests in Independent Groups Designs
Description: Performs one-way tests in independent groups designs, pairwise comparisons, graphical approaches, assesses variance homogeneity and normality of data in each group via tests and plots (Dag et al., 2018, <https://journal.r-project.org/archive/2018/RJ-2018-022/RJ-2018-022.pdf>).
Author: Osman Dag [aut, cre], Anil Dolgun [aut], N. Meric Konar [aut]
Maintainer: Osman Dag <osman.dag@hacettepe.edu.tr>

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Package ABPS updated to version 0.3 with previous version 0.2 dated 2018-01-30

Title: The Abnormal Blood Profile Score to Detect Blood Doping
Description: An implementation of the Abnormal Blood Profile Score (ABPS, part of the Athlete Biological Passport program of the World Anti-Doping Agency), which combines several blood parameters into a single score in order to detect blood doping (Sottas et al. (2006) <doi:10.2202/1557-4679.1011>). The package also contains functions to calculate other scores used in anti-doping programs, such as the OFF-score (Gore et al. (2003) <http://www.haematologica.org/content/88/3/333>), as well as example data.
Author: Frédéric Schütz [aut, cre], Alix Zollinger [aut]
Maintainer: Frédéric Schütz <schutz@mathgen.ch>

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Package storr updated to version 1.2.1 with previous version 1.2.0 dated 2018-05-31

Title: Simple Key Value Stores
Description: Creates and manages simple key-value stores. These can use a variety of approaches for storing the data. This package implements the base methods and support for file system, in-memory and DBI-based database stores.
Author: Rich FitzJohn [aut, cre]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

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Package smam updated to version 0.4.0 with previous version 0.3-0 dated 2016-10-01

Title: Statistical Modeling of Animal Movements
Description: Animal movement models including moving-resting process with embedded Brownian motion according to Yan et al. (2014) <doi:10.1007/s10144-013-0428-8>, Pozdnyakov et al. (2017) <doi:10.1007/s11009-017-9547-6>, Brownian motion with measurement error according to Pozdnyakov et al. (2014) <doi:10.1890/13-0532.1>, and moving-resting-handling process with embedded Brownian motion, Pozdnyakov et al. (2018) <arXiv:1806.00849>.
Author: Jun Yan [aut], Vladimir Pozdnyakov [aut], Chaoran Hu [aut, cre]
Maintainer: Chaoran Hu <chaoran.hu@uconn.edu>

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Package relsurv updated to version 2.2-2 with previous version 2.2-1 dated 2018-08-28

Title: Relative Survival
Description: Contains functions for analysing relative survival data, including nonparametric estimators of net (marginal relative) survival, relative survival ratio, crude mortality, methods for fitting and checking additive and multiplicative regression models, transformation approach, methods for dealing with population mortality tables.
Author: Maja Pohar Perme [aut, cre]
Maintainer: Maja Pohar Perme <maja.pohar@mf.uni-lj.si>

Diff between relsurv versions 2.2-1 dated 2018-08-28 and 2.2-2 dated 2018-10-18

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Package PWEALL updated to version 1.3.0 with previous version 1.2.1 dated 2018-03-26

Title: Design and Monitoring of Survival Trials Accounting for Complex Situations
Description: Calculates various functions needed for design and monitoring survival trials accounting for complex situations such as delayed treatment effect, treatment crossover, non-uniform accrual, and different censoring distributions between groups. The event time distribution is assumed to be piecewise exponential (PWE) distribution and the entry time is assumed to be piecewise uniform distribution. As compared with Version 1.2.1, two more types of hybrid crossover are added. A bug is corrected in the function "pwecx" that calculates the crossover-adjusted survival, distribution, density, hazard and cumulative hazard functions. Also, to generate the crossover-adjusted event time random variable, a more efficient algorithm is used and the output includes crossover indicators.
Author: Xiaodong Luo [aut, cre], Xuezhou Mao [ctb], Xun Chen [ctb], Hui Quan [ctb], Sanofi [cph]
Maintainer: Xiaodong Luo <Xiaodong.Luo@sanofi.com>

Diff between PWEALL versions 1.2.1 dated 2018-03-26 and 1.3.0 dated 2018-10-18

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Package pmhtutorial updated to version 1.3 with previous version 1.2 dated 2017-10-07

Title: Minimal Working Examples for Particle Metropolis-Hastings
Description: Routines for state estimate in a linear Gaussian state space model and a simple stochastic volatility model using particle filtering. Parameter inference is also carried out in these models using the particle Metropolis-Hastings algorithm that includes the particle filter to provided an unbiased estimator of the likelihood. This package is a collection of minimal working examples of these algorithms and is only meant for educational use and as a start for learning to them on your own.
Author: Johan Dahlin
Maintainer: Johan Dahlin <uni@johandahlin.com>

Diff between pmhtutorial versions 1.2 dated 2017-10-07 and 1.3 dated 2018-10-18

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Package nasapower updated to version 1.0.2 with previous version 1.0.1 dated 2018-10-14

Title: 'NASA' 'POWER' 'API' Client
Description: Client for 'NASA' 'POWER' global meteorology, surface solar energy and climatology data 'API'. 'POWER' (Prediction Of Worldwide Energy Resource) data are freely available global meteorology and surface solar energy climatology data for download with a resolution of 1/2 by 1/2 arc degree longitude and latitude and are funded through the 'NASA' Earth Science Directorate Applied Science Program. For more on the data themselves, a web-based data viewer and web access, please see <https://power.larc.nasa.gov/>.
Author: Adam H. Sparks [aut, cre] (<https://orcid.org/0000-0002-0061-8359>), Scott Chamberlain [rev] (<https://orcid.org/0000-0003-1444-9135>), Hazel Kavili [rev], Alison Boyer [rev]
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

Diff between nasapower versions 1.0.1 dated 2018-10-14 and 1.0.2 dated 2018-10-18

 DESCRIPTION                              |   15 +-
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Package microbenchmark updated to version 1.4-6 with previous version 1.4-5 dated 2018-10-09

Title: Accurate Timing Functions
Description: Provides infrastructure to accurately measure and compare the execution time of R expressions.
Author: Olaf Mersmann [aut], Claudia Beleites [ctb], Rainer Hurling [ctb], Ari Friedman [ctb], Joshua M. Ulrich [cre]
Maintainer: Joshua M. Ulrich <josh.m.ulrich@gmail.com>

Diff between microbenchmark versions 1.4-5 dated 2018-10-09 and 1.4-6 dated 2018-10-18

 DESCRIPTION                  |    6 +++---
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Package eva updated to version 0.2.5 with previous version 0.2.4 dated 2016-09-20

Title: Extreme Value Analysis with Goodness-of-Fit Testing
Description: Goodness-of-fit tests for selection of r in the r-largest order statistics (GEVr) model. Goodness-of-fit tests for threshold selection in the Generalized Pareto distribution (GPD). Random number generation and density functions for the GEVr distribution. Profile likelihood for return level estimation using the GEVr and Generalized Pareto distributions. P-value adjustments for sequential, multiple testing error control. Non-stationary fitting of GEVr and GPD.
Author: Brian Bader [aut, cre], Jun Yan [ctb]
Maintainer: Brian Bader <bbader.stat@gmail.com>

Diff between eva versions 0.2.4 dated 2016-09-20 and 0.2.5 dated 2018-10-18

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Package BWStest updated to version 0.2.2 with previous version 0.2.1 dated 2017-03-21

Title: Baumgartner Weiss Schindler Test of Equal Distributions
Description: Performs the 'Baumgartner-Weiss-Schindler' two-sample test of equal probability distributions, <doi:10.2307/2533862>. Also performs similar rank-based tests for equal probability distributions due to Neuhauser <doi:10.1080/10485250108832874> and Murakami <doi:10.1080/00949655.2010.551516>.
Author: Steven E. Pav [aut, cre] (<https://orcid.org/0000-0002-4197-6195>)
Maintainer: Steven E. Pav <shabbychef@gmail.com>

Diff between BWStest versions 0.2.1 dated 2017-03-21 and 0.2.2 dated 2018-10-18

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Package blocksdesign updated to version 3.1 with previous version 3.0 dated 2018-07-01

Title: Nested and Crossed Block Designs for Factorial, Fractional Factorial and Unstructured Treatment Sets
Description: Constructs D-optimal or near D-optimal nested and crossed block designs for unstructured or general factorial treatment designs. Where a structured treatment design is required, a D-optimal or near D-optimal treatment design is found based on a suitable model matrix design formula. The required block design is then found for the required treatment design based on a defined set of block factors. The block factors are added in sequence and each added block factor is optimized conditional on all previously added block factors. The block design can have repeated nesting down to any required depth of nesting with either simple nested blocks or a crossed blocks design at each level of nesting. Outputs include a table showing the allocation of treatments to blocks and tables showing the achieved D-efficiency factors for each block and treatment design.
Author: R. N. Edmondson.
Maintainer: Rodney Edmondson <rodney.edmondson@gmail.com>

Diff between blocksdesign versions 3.0 dated 2018-07-01 and 3.1 dated 2018-10-18

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Package betapart updated to version 1.5.1 with previous version 1.5.0 dated 2018-02-22

Title: Partitioning Beta Diversity into Turnover and Nestedness Components
Description: Functions to compute pair-wise dissimilarities (distance matrices) and multiple-site dissimilarities, separating the turnover and nestedness-resultant components of taxonomic (incidence and abundance based), functional and phylogenetic beta diversity.
Author: Andres Baselga [aut, cre], David Orme [aut], Sebastien Villeger [aut], Julien De Bortoli [aut], Fabien Leprieur [aut], Maxime Logez [ctb], Renato Henriques-Silva [ctb]
Maintainer: Andres Baselga <andres.baselga@usc.es>

Diff between betapart versions 1.5.0 dated 2018-02-22 and 1.5.1 dated 2018-10-18

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Package hNMF updated to version 0.9 with previous version 0.8 dated 2018-10-10

Title: Hierarchical Non-Negative Matrix Factorization
Description: Hierarchical and single-level non-negative matrix factorization. Several NMF algorithms are available.
Author: Nicolas Sauwen
Maintainer: Nicolas Sauwen <nicolas.sauwen@openanalytics.eu>

Diff between hNMF versions 0.8 dated 2018-10-10 and 0.9 dated 2018-10-18

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Package rscala updated to version 3.2.2 with previous version 3.1.0 dated 2018-07-13

Title: Bridge Between 'R' and 'Scala' with Callbacks
Description: 'Scala' <http://www.scala-lang.org/> is embedded in 'R' and callbacks from 'Scala' to 'R' are available. Support is provided to write 'R' packages that access 'Scala'. After installation, please run 'rscala::scalaConfig()'.
Author: David B. Dahl [aut, cre]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

Diff between rscala versions 3.1.0 dated 2018-07-13 and 3.2.2 dated 2018-10-18

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Package antaresRead updated to version 2.2.1 with previous version 2.2.0 dated 2018-09-28

Title: Import, Manipulate and Explore the Results of an 'Antares' Simulation
Description: Import, manipulate and explore results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here : <https://github.com/AntaresSimulatorTeam/Antares_Simulator>). You can see the results of several ANTARES studies here : <http://bpnumerique.rte-france.com/>.
Author: Jalal-Edine ZAWAM [aut, cre], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], RTE [cph]
Maintainer: Jalal-Edine ZAWAM <jalal-edine.zawam@rte-france.com>

Diff between antaresRead versions 2.2.0 dated 2018-09-28 and 2.2.1 dated 2018-10-18

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Package smbinning updated to version 0.7 with previous version 0.6 dated 2018-02-22

Title: Scoring Modeling and Optimal Binning
Description: A set of functions to build a scoring model from beginning to end, leading the user to follow an efficient and organized development process, reducing significantly the time spent on data exploration, variable selection, feature engineering and binning, among other recurrent tasks. The package also incorporates monotonic and customized binning, scaling capabilities that transforms logistic coefficients into points for a better business understanding and calculates and visualizes classic performance metrics of a classification model.
Author: Herman Jopia
Maintainer: Herman Jopia <hjopia@gmail.com>

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Package rainbow updated to version 3.5 with previous version 3.4 dated 2016-01-03

Title: Bagplots, Boxplots and Rainbow Plots for Functional Data
Description: Visualizing functional data and identifying functional outliers.
Author: Han Lin Shang and Rob J Hyndman
Maintainer: Han Lin Shang <hanlin.shang@anu.edu.au>

Diff between rainbow versions 3.4 dated 2016-01-03 and 3.5 dated 2018-10-18

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Package metaSEM updated to version 1.2.0 with previous version 1.1.0 dated 2018-05-09

Title: Meta-Analysis using Structural Equation Modeling
Description: A collection of functions for conducting meta-analysis using a structural equation modeling (SEM) approach via the 'OpenMx' and 'lavaan' packages. It also implements various procedures to perform meta-analytic structural equation modeling on the correlation and covariance matrices.
Author: Mike W.-L. Cheung <mikewlcheung@nus.edu.sg>
Maintainer: Mike W.-L. Cheung <mikewlcheung@nus.edu.sg>

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