Sun, 04 Feb 2018

Package helixvis updated to version 0.2.0 with previous version 0.1.0 dated 2017-06-26

Title: Visualize Alpha-Helical Peptide Sequences
Description: Create pretty visualizations of alpha-helical peptide sequences in R. The amino acid type (polar, hydrophobic, etc.) is denoted by color. This package allows creation of helical wheels, and the newer Wenxiang diagrams. Future versions aim to include increased customizability of the two existing visualizations, as well as a visualization for the helical net diagram.
Author: Raoul Wadhwa [cre, aut], Regina Stevens-Truss [aut]
Maintainer: Raoul Wadhwa <raoulwadhwa@gmail.com>

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More information about helixvis at CRAN
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New package webdriver with initial version 1.0.4
Package: webdriver
Title: 'WebDriver' Client for 'PhantomJS'
Version: 1.0.4
Author: Ariya Hidayat, Gábor Csárdi, Gabor Torok, Ivan De Marino, Robert Gieseke, Steven Masala, Winston Chang, Zack Weinberg
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>
Description: A client for the 'WebDriver' 'API'. It allows driving a (probably headless) web browser, and can be used to test web applications, including 'Shiny' apps. In theory it works with any 'WebDriver' implementation, but it was only tested with 'PhantomJS'.
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/rstudio/webdriver
BugReports: https://github.com/rstudio/webdriver/issues
RoxygenNote: 6.0.1
Imports: callr (>= 2.0.0), base64enc, curl (>= 2.0), debugme, httr, jsonlite, R6, showimage, utils
Suggests: covr, pingr, rprojroot, servr, testthat
Encoding: UTF-8
SystemRequirements: PhantomJS (http://phantomjs.org/)
NeedsCompilation: no
Packaged: 2018-02-04 23:19:27 UTC; gaborcsardi
Repository: CRAN
Date/Publication: 2018-02-04 23:35:13 UTC

More information about webdriver at CRAN
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Package rugarch updated to version 1.4-0 with previous version 1.3-8 dated 2017-10-08

Title: Univariate GARCH Models
Description: ARFIMA, in-mean, external regressors and various GARCH flavors, with methods for fit, forecast, simulation, inference and plotting.
Author: Alexios Ghalanos [aut, cre]
Maintainer: Alexios Ghalanos <alexios@4dscape.com>

Diff between rugarch versions 1.3-8 dated 2017-10-08 and 1.4-0 dated 2018-02-04

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Package RJafroc updated to version 1.0.0 with previous version 0.1.1 dated 2015-08-14

Title: Modeling, Analysis, Validation and Visualization of Observer Performance Studies in Diagnostic Radiology
Description: Tools for quantitative assessment of medical imaging systems, radiologists or computer aided ('CAD') algorithms. Implements methods described in a book: 'Chakraborty' 'DP' (2017), "Observer Performance Methods for Diagnostic Imaging - Foundations, Modeling, and Applications with R-Based Examples", Taylor-Francis <https://www.crcpress.com/9781482214840>. Data collection paradigms include receiver operating characteristic ('ROC') and its location specific extensions, primarily free-response 'ROC' ('FROC'). 'ROC' data consists of a single rating per image, where the rating is the perceived confidence level the image is of a diseased patient. 'FROC' data consists of a variable number (including zero) of mark-rating pairs per image, where a mark is the location of a clinically reportable suspicious region and the rating is the corresponding confidence level that it is a true lesion. The software supersedes the current Windows version of 'JAFROC' software <http://www.devchakraborty.com>. 'RJafroc' is derived from it being an enhanced R version of original Windows 'JAFROC'. Implemented are a number of figures of merit quantifying performance, functions for visualizing operating characteristics; three ROC ratings data curve-fitting algorithms: the 'binormal' model ('BM'), the contaminated binormal model ('CBM') and the radiological search model ('RSM'). Unlike the 'BM', the 'CBM' and the 'RSM' predict proper ROC curves that do not cross the chance diagonal or display inappropriate hooks near the upper right corner of the plots. 'RSM' fitting additionally yields measures of search and lesion-classification performances, in addition to the usual case-classification performance measured by the area under the 'ROC' curve. Search performance is the ability to find lesions while avoiding finding non-lesions. Lesion-classification performance is the ability to discriminate between found lesions and non-lesions. For fully crossed study designs, termed multiple-reader multiple-case, significance testing of reader-averaged figure-of-merit differences between modalities is implemented via both 'Dorfman', 'Berbaum' and 'Metz' ('DBM') and the 'Obuchowski' and 'Rockette' ('OR') methods. Single treatment analysis allows comparison of performance of a group of radiologists to a specified value, or comparison of 'CAD' performance to a group of radiologists interpreting the same cases. Sample size estimation tools are provided for 'ROC' and 'FROC' studies that allow estimation of relevant variances from a pilot study to predict required numbers of readers and cases in a pivotal study. Utility and data file manipulation functions allow data to be read in any of the currently used input formats, including Excel, and the results of the analysis can be viewed in text or Excel output files. The package is used extensively in the online appendices of the cited book. Directions for accessing the online material are available by following the software tab of <http://www.devchakraborty.com>.
Author: Dev Chakraborty [cre, aut, cph], Xuetong Zhai [aut, cph], Lucy D'Agostino McGowan [ctb]
Maintainer: Dev Chakraborty <dpc10ster@gmail.com>

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Package CTT updated to version 2.3.2 with previous version 2.3 dated 2017-11-03

Title: Classical Test Theory Functions
Description: A collection of common test and item analyses from a classical test theory (CTT) framework. Analyses can be applied to both dichotomous and polytomous data. Functions provide reliability analyses (alpha), item statistics, disctractor analyses, disattenuated correlations, scoring routines, and empirical ICCs.
Author: John T. Willse
Maintainer: John T. Willse <willse@uncg.edu>

Diff between CTT versions 2.3 dated 2017-11-03 and 2.3.2 dated 2018-02-04

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Package funtimes updated to version 5.0 with previous version 4.0 dated 2017-02-28

Title: Functions for Time Series Analysis
Description: Includes non-parametric estimators and tests for time series analysis. The functions are to test for presence of possibly non-monotonic trends and for synchronism of trends in multiple time series, using modern bootstrap techniques and robust non-parametric difference-based estimators.
Author: Vyacheslav Lyubchich [aut, cre], Yulia R. Gel [aut], Calvin Chu [ctb], Xin Huang [ctb], Ethan D. Schaeffer [ctb], Xingyu Wang [ctb]
Maintainer: Vyacheslav Lyubchich <lyubchic@umces.edu>

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Package eda4treeR updated to version 0.2.0 with previous version 0.1.0 dated 2018-01-24

Title: Experimental Design and Analysis for Tree Improvement
Description: Provides data sets and R Codes for Williams, E.R., Matheson, A.C. and Harwood, C.E. (2002). Experimental Design and Analysis for Tree Improvement, CSIRO Publishing.
Author: Muhammad Yaseen [aut, cre], Sami Ullah [aut, ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

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Package mldr updated to version 0.4.0 with previous version 0.3.22 dated 2016-01-16

Title: Exploratory Data Analysis and Manipulation of Multi-Label Data Sets
Description: Exploratory data analysis and manipulation functions for multi- label data sets along with an interactive Shiny application to ease their use.
Author: David Charte [cre], Francisco Charte [aut]
Maintainer: David Charte <fdavidcl@ugr.es>

Diff between mldr versions 0.3.22 dated 2016-01-16 and 0.4.0 dated 2018-02-04

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Package rJPSGCS updated to version 0.2-8 with previous version 0.2-7 dated 2014-12-04

Title: R-Interface to Gene Drop Simulation from JPSGCS
Description: R-interface to gene drop programs from Alun Thomas' Java Programs for Statistical Genetics and Computational Statistics (JPSGCS).
Author: Sigal Blay [aut], Jinko Graham [aut], Brad McNeney [aut, cre], Annick Nembot-Simo [aut], Alun Thomas [ctb], Hin-Tak Leung [ctb]
Maintainer: Brad McNeney <mcneney@sfu.ca>

Diff between rJPSGCS versions 0.2-7 dated 2014-12-04 and 0.2-8 dated 2018-02-04

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Package railtrails updated to version 0.0.3 with previous version 0.0.2 dated 2018-02-03

Title: Data for Trails in the United States from the Rails-to-Trails Conservancy
Description: Rail trail data from the excellent 'TrailLink' website, sponsored by the Rails-to-Trails Conservancy <https://www.traillink.com/>. Includes information (such as name, length, surface, and reviews) 3,846 trails and 24,413 reviews in every state in the United States. Data can be used for to better understand recreational trail use in the United States and for examples / teaching, particularly those involving hierarchical or repeated measures data.
Author: Joshua Rosenberg [aut, cre]
Maintainer: Joshua Rosenberg <jmichaelrosenberg@gmail.com>

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Package dclone updated to version 2.1-3 with previous version 2.1-2 dated 2016-03-12

Title: Data Cloning and MCMC Tools for Maximum Likelihood Methods
Description: Low level functions for implementing maximum likelihood estimating procedures for complex models using data cloning and Bayesian Markov chain Monte Carlo methods as described in Solymos 2010 (R Journal 2(2):29--37). Sequential and parallel MCMC support for 'JAGS', 'WinBUGS' and 'OpenBUGS'.
Author: Peter Solymos
Maintainer: Peter Solymos <solymos@ualberta.ca>

Diff between dclone versions 2.1-2 dated 2016-03-12 and 2.1-3 dated 2018-02-04

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New package aVirtualTwins with initial version 1.0.1
Package: aVirtualTwins
Type: Package
Title: Adaptation of Virtual Twins Method from Jared Foster
Version: 1.0.1
Date: 2018-02-03
Authors@R: c(person("Francois", "Vieille", email = "vieille.francois@gmail.com", role = c("aut", "cre")), person("Jared", "Foster", email = "jared.foster@nih.gov", role = c("aut")))
Description: Research of subgroups in random clinical trials with binary outcome and two treatments groups. This is an adaptation of the Jared Foster method (<https://www.ncbi.nlm.nih.gov/pubmed/21815180>).
License: GPL-3 | file LICENSE
URL: https://github.com/prise6/aVirtualTwins
BugReports: https://github.com/prise6/aVirtualTwins/issues
Imports: rpart, party, methods, randomForest, stats
Suggests: caret, knitr, rpart.plot, rmarkdown, e1071
Depends: R (>= 3.2.0),
Collate: 'aVirtualTwins.R' 'data.R' 'object.R' 'difft.R' 'setClass.R' 'predict.R' 'forest.R' 'forest.double.R' 'forest.fold.R' 'forest.one.R' 'forest.wrapper.R' 'formatRCTDataset.R' 'incidences.R' 'object.wrapper.R' 'tools.R' 'tree.R' 'tree.class.R' 'tree.reg.R' 'tree.wrapper.R'
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-02-03 15:22:29 UTC; prise6
Author: Francois Vieille [aut, cre], Jared Foster [aut]
Maintainer: Francois Vieille <vieille.francois@gmail.com>
Repository: CRAN
Date/Publication: 2018-02-04 16:00:40 UTC

More information about aVirtualTwins at CRAN
Permanent link

Package sjstats updated to version 0.14.1 with previous version 0.14.0 dated 2018-01-14

Title: Collection of Convenient Functions for Common Statistical Computations
Description: Collection of convenient functions for common statistical computations, which are not directly provided by R's base or stats packages. This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like standard errors or root mean squared errors). Second, these shortcut functions are generic (if appropriate), and can be applied not only to vectors, but also to other objects as well (e.g., the Coefficient of Variation can be computed for vectors, linear models, or linear mixed models; the r2()-function returns the r-squared value for 'lm', 'glm', 'merMod' or 'lme' objects). The focus of most functions lies on summary statistics or fit measures for regression models, including generalized linear models and mixed effects models. However, some of the functions also deal with other statistical measures, like Cronbach's Alpha, Cramer's V, Phi etc.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between sjstats versions 0.14.0 dated 2018-01-14 and 0.14.1 dated 2018-02-04

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New package SASxport with initial version 1.5.7
Package: SASxport
Title: Read and Write 'SAS' 'XPORT' Files
Version: 1.5.7
Date: 2018-02-03
Description: Functions for reading, listing the contents of, and writing 'SAS' 'xport' format files. The functions support reading and writing of either individual data frames or sets of data frames. Further, a mechanism has been provided for customizing how variables of different data types are stored.
Author: Gregory R. Warnes <greg@warnes.net> -- Unless otherwise noted, the contents of this package were written by Gregory R. Warnes <greg@warnes.net> and are provided under the terms of the GNU General Public License, version 2.0 or later. -- The files 'src/ieee2ibm.c' and 'src/ibm2ieee.c' were extracted from BRL-CAD file /brlcad/src/libbu/htond.c written by Michael John Muuss, Copyright (c) 2004-2007 United States Government as represented by the U.S. Army Research Laboratory, and is utilized and redistributed under the terms of the GNU Lesser General Public License, version 2.1. -- The file 'R/read.xport.R' is adapted from the 'Hmisc' package created by Frank E. Harrell, Jr. <f.harrell@vanderbilt.edu>, and is utilized and redistributed under the terms of the GNU General Public License, version 2.0 or later. -- The files 'R/xport.R', 'src/SASxport.c', 'src/SASxport.h', and 'src/foreign.h' are copied or adapted from the 'R' 'foreign' package created by Douglas M. Bates <bates@stat.wisc.edu> and Saikat DebRoy <saikat@stat.wisc.edu>, and are utilized and redistributed under the terms of the GNU General Public License, version 2.0 or later. -- The creation of this package was partially funded by Metrum Institute <http://metruminstitute.org>.
Maintainer: Gregory R. Warnes <greg@warnes.net>
License: GPL-2
Depends: R (>= 3.3.0)
Imports: Hmisc, utils, stringi
Suggests: chron
URL: https://github.com/warnes/SASxport
BugReports: https://github.com/warnes/SASxport/issues
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-02-04 04:45:18 UTC; gwarnes
Repository: CRAN
Date/Publication: 2018-02-04 15:45:20 UTC

More information about SASxport at CRAN
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Package rmdshower updated to version 2.1.1 with previous version 2.0.0 dated 2016-06-06

Title: 'R' 'Markdown' Format for 'shower' Presentations
Description: 'R' 'Markdown' format for 'shower' presentations, see <https://github.com/shower/shower>.
Author: Vadim Makeev [aut, cph] (shower, https://github.com/shower/shower), Oleg Jahson [aut, cph] (shower, https://github.com/shower/shower), Slava Oliyanchuk [aut, cph] (shower, https://github.com/shower/shower), Roman Komarov [aut, cph] (shower, https://github.com/shower/shower), Artem Polikarpov [aut, cph] (shower, https://github.com/shower/shower), Tony Ganch [aut, cph] (shower, https://github.com/shower/shower), Denis Hananein [aut, cph] (shower, https://github.com/shower/shower), Gábor Csárdi [aut], Doug Ashton [aut, cre], JJ Allaire [aut], RStudio [cph], Mango Solutions [cph]
Maintainer: Doug Ashton <dashton@mango-solutions.com>

Diff between rmdshower versions 2.0.0 dated 2016-06-06 and 2.1.1 dated 2018-02-04

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Package quadprogXT updated to version 0.0.2 with previous version 0.0.1 dated 2017-05-30

Title: Quadratic Programming with Absolute Value Constraints
Description: Extends the quadprog package to solve quadratic programs with absolute value constraints and absolute values in the objective function.
Author: Bob Harlow [aut, cre]
Maintainer: Bob Harlow <rharlow86@gmail.com>

Diff between quadprogXT versions 0.0.1 dated 2017-05-30 and 0.0.2 dated 2018-02-04

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Package optrdd updated to version 1.0 with previous version 0.9 dated 2017-08-24

Title: Optimized Regression Discontinuity Designs
Description: Optimized inference in regression discontinuity designs, as proposed by Imbens and Wager (2017) <arXiv:1705.01677>.
Author: Guido Imbens [aut], Stefan Wager [aut, cre]
Maintainer: Stefan Wager <swager@stanford.edu>

Diff between optrdd versions 0.9 dated 2017-08-24 and 1.0 dated 2018-02-04

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New package bssm with initial version 0.1.4
Package: bssm
Type: Package
Title: Bayesian Inference of Non-Linear and Non-Gaussian State Space Models
Version: 0.1.4
Date: 2018-02-04
Author: Jouni Helske, Matti Vihola
Maintainer: Jouni Helske <jouni.helske@iki.fi>
Description: Efficient methods for Bayesian inference of state space models via particle Markov chain Monte Carlo and parallel importance sampling type weighted Markov chain Monte Carlo (Vihola, Helske, and Franks, 2017, <arXiv:1609.02541>). Gaussian, Poisson, binomial, or negative binomial observation densities and basic stochastic volatility models with Gaussian state dynamics, as well as general non-linear Gaussian models and discretised diffusion models are supported.
License: GPL (>= 2)
Depends: R (>= 3.1.3)
Suggests: KFAS (>= 1.2.1), knitr (>= 1.11), rmarkdown (>= 0.8.1), testthat, bayesplot, sde, ramcmc, sitmo
Imports: coda (>= 0.18-1), diagis, ggplot2 (>= 2.0.0), Rcpp (>= 0.12.3)
LinkingTo: BH, Rcpp, RcppArmadillo, ramcmc, sitmo
SystemRequirements: C++11
RoxygenNote: 6.0.1
VignetteBuilder: knitr
BugReports: https://github.com/helske/bssm/issues
ByteCompile: true
NeedsCompilation: yes
Packaged: 2018-02-04 13:59:28 UTC; jouni
Repository: CRAN
Date/Publication: 2018-02-04 15:30:09 UTC

More information about bssm at CRAN
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Package BART updated to version 1.4 with previous version 1.3 dated 2017-09-21

Title: Bayesian Additive Regression Trees
Description: Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous, binary 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], Jean-Sebastien Roy [ctb], Makoto Matsumoto [ctb], Takuji Nishimura [ctb], Bill Venables [ctb], Brian Ripley [ctb]
Maintainer: Rodney Sparapani <rsparapa@mcw.edu>

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Permanent link

Package iBUGS (with last version 0.1.4) was removed from CRAN

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

2013-12-10 0.1.4
2013-03-29 0.1.3
2012-11-12 0.1.2
2010-04-09 0.1-0

Permanent link
Package wnominate updated to version 1.2.2 with previous version 1.2.1 dated 2018-02-01

Title: Roll Call Analysis Software
Description: Estimates Poole and Rosenthal W-NOMINATE scores from roll call votes supplied though a 'rollcall' object from package 'pscl'.
Author: Keith Poole <ktpoole@uga.edu>, Jeffrey Lewis <jblewis@ucla.edu>, James Lo <lojames@usc.edu> and Royce Carroll <rcarroll@rice.edu>
Maintainer: ORPHANED

Diff between wnominate versions 1.2.1 dated 2018-02-01 and 1.2.2 dated 2018-02-04

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Package hyperSMURF updated to version 1.1.3 with previous version 1.1.2 dated 2016-08-18

Title: Hyper-Ensemble Smote Undersampled Random Forests
Description: Machine learning supervised method to learn rare genomic features in imbalanced genetic data sets. This method can be also applied to classify or rank examples characterized by a high imbalance between the minority and majority class. hyperSMURF adopts a hyper-ensemble (ensemble of ensembles) approach, undersampling of the majority class and oversampling of the minority class to learn highly imbalanced data. Both single-core and parallel multi-core version of hyperSMURF are implemented.
Author: Giorgio Valentini [aut, cre] - AnacletoLab, Dipartimento di Informatica, Universita' degli Studi di Milano; Max Schubach [ctb] - Charite, Universitatsmedizin Berlin; Matteo Re [ctb] - AnacletoLab, Dipartimento di Informatica, Universita' degli Studi di Milano; Peter N Robinson [ctb] - The Jackson Laboratory for Genomic Medicine, Farmington CT, USA.
Maintainer: Giorgio Valentini <valentini@di.unimi.it>

Diff between hyperSMURF versions 1.1.2 dated 2016-08-18 and 1.1.3 dated 2018-02-04

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Package cancensus updated to version 0.1.7 with previous version 0.1.6 dated 2018-01-24

Title: Canadian Census Data and Geography from the 'CensusMapper' API
Description: Integrated, convenient, and uniform access to Canadian Census data and geography retrieved using the 'CensusMapper' API. This package produces analysis-ready tidy data frames and spatial data in multiple formats, as well as convenience functions for working with Census variables, variable hierarchies, and region selection. API keys are freely available with free registration at <https://censusmapper.ca/api>. Census data and boundary geometries are reproduced and distributed on an "as is" basis with the permission of Statistics Canada (Statistics Canada 2006; 2011; 2016).
Author: Jens von Bergmann [aut] (API creator and maintainer), Dmitry Shkolnik [aut, cre] (Package maintainer, responsible for correspondence), Aaron Jacobs [aut]
Maintainer: Dmitry Shkolnik <shkolnikd@gmail.com>

Diff between cancensus versions 0.1.6 dated 2018-01-24 and 0.1.7 dated 2018-02-04

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Package rbacon updated to version 2.3.2 with previous version 2.3.1.2 dated 2018-01-03

Title: Age-Depth Modelling using Bayesian Statistics
Description: Bacon is an approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information. See Blaauw & Christen (2011) <doi:10.1214/11-BA618>.
Author: Maarten Blaauw [aut, cre], J. Andres Christen [aut], Judith Esquivel Vazquez [ctb], Ted Belding [cph], James Theiler [cph], Brian Gough [cph], Charles Karney [cph]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

Diff between rbacon versions 2.3.1.2 dated 2018-01-03 and 2.3.2 dated 2018-02-04

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Package wbsts updated to version 0.4 with previous version 0.3 dated 2015-09-30

Title: Multiple Change-Point Detection for Nonstationary Time Series
Description: Implements detection for the number and locations of the change-points in a time series using the Wild Binary Segmentation and the Locally Stationary Wavelet model.
Author: Karolos Korkas and Piotr Fryzlewicz
Maintainer: Karolos Korkas <kkorkas@yahoo.co.uk>

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Permanent link

Package bssm (with last version 0.1.3) was removed from CRAN

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

2018-01-25 0.1.3
2017-11-22 0.1.2
2017-07-12 0.1.1-1
2017-06-27 0.1.1
2017-06-25 0.1.0

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Package gk updated to version 0.5.1 with previous version 0.5.0 dated 2017-06-21

Title: g-and-k and g-and-h Distribution Functions
Description: Functions for the g-and-k and generalised g-and-h distributions.
Author: Dennis Prangle [aut, cre, cph]
Maintainer: Dennis Prangle <dennis.prangle@gmail.com>

Diff between gk versions 0.5.0 dated 2017-06-21 and 0.5.1 dated 2018-02-04

 DESCRIPTION                         |   10 +++---
 MD5                                 |   55 ++++++++++++++++++------------------
 R/fdsa.R                            |    5 +++
 R/mcmc.R                            |    1 
 R/pgh.R                             |    2 -
 R/pgk.R                             |    2 -
 inst                                |only
 man/Qgh_deriv.Rd                    |    1 
 man/Qgh_log_deriv.Rd                |    1 
 man/Qgk_deriv.Rd                    |    1 
 man/Qgk_log_deriv.Rd                |    1 
 man/abc.Rd                          |    1 
 man/abc_batch.Rd                    |    1 
 man/fdsa.Rd                         |    1 
 man/fx.Rd                           |    1 
 man/g-and-h.Rd                      |    3 -
 man/g-and-k.Rd                      |    3 -
 man/improper_uniform_log_density.Rd |    1 
 man/isValid.Rd                      |    1 
 man/isValid_scalar.Rd               |    1 
 man/logSumExp.Rd                    |    2 -
 man/mcmc.Rd                         |    1 
 man/momentEstimates.Rd              |    1 
 man/orderstats.Rd                   |    1 
 man/pgh_scalar.Rd                   |    3 -
 man/pgk_scalar.Rd                   |    3 -
 man/project.Rd                      |    2 -
 man/z2gh.Rd                         |    1 
 man/z2gk.Rd                         |    1 
 29 files changed, 47 insertions(+), 60 deletions(-)

More information about gk at CRAN
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