Fri, 25 Jan 2019

Package nimble updated to version 0.6.13 with previous version 0.6-12 dated 2018-07-27

Title: MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Description: A system for writing hierarchical statistical models largely compatible with 'BUGS' and 'JAGS', writing nimbleFunctions to operate models and do basic R-style math, and compiling both models and nimbleFunctions via custom-generated C++. 'NIMBLE' includes default methods for MCMC, particle filtering, Monte Carlo Expectation Maximization, and some other tools. The nimbleFunction system makes it easy to do things like implement new MCMC samplers from R, customize the assignment of samplers to different parts of a model from R, and compile the new samplers automatically via C++ alongside the samplers 'NIMBLE' provides. 'NIMBLE' extends the 'BUGS'/'JAGS' language by making it extensible: New distributions and functions can be added, including as calls to external compiled code. Although most people think of MCMC as the main goal of the 'BUGS'/'JAGS' language for writing models, one can use 'NIMBLE' for writing arbitrary other kinds of model-generic algorithms as well. A full User Manual is available at <https://r-nimble.org>.
Author: Perry de Valpine, Christopher Paciorek, Daniel Turek, Cliff Anderson-Bergman, Nick Michaud, Fritz Obermeyer, Claudia Wehrhahn Cortes, Abel Rodriguez, Duncan Temple Lang, and see AUTHORS file for additional contributors.
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

Diff between nimble versions 0.6-12 dated 2018-07-27 and 0.6.13 dated 2019-01-25

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New package es.dif with initial version 1.0.0
Package: es.dif
Type: Package
Title: Compute Effect Sizes of the Difference
Version: 1.0.0
Author: Satoshi Aoki
Maintainer: Satoshi Aoki <aokis1ll1@gmail.com>
Date: 2019-01-18
Description: Computes various effect sizes of the difference, their variance, and confidence interval. This package treats Cohen's d, Hedges' d, biased/unbiased c (an effect size between a mean and a constant) and e (an effect size between means without assuming the variance equality).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2019-01-18 03:33:47 UTC; akaka
Repository: CRAN
Date/Publication: 2019-01-25 23:30:02 UTC

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New package DEVis with initial version 1.0.1
Package: DEVis
Type: Package
Title: A Differential Expression Analysis Toolkit for Visual Analytics and Data Aggregation
Version: 1.0.1
Author: Adam Price
Maintainer: Adam Price <ap3637@cumc.columbia.edu>
Description: Differential expression analysis tools for data aggregation, visualization, exploratory analysis, and project organization.
License: LGPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Suggests: knitr, rmarkdown, kableExtra
VignetteBuilder: knitr
Depends: DESeq2
Imports: ggplot2, pheatmap, RColorBrewer, ggthemes, MASS, plyr, ggsci, SummarizedExperiment, methods, ggdendro, PoiClaClu, reshape2, grDevices, stats, utils, gridExtra
NeedsCompilation: no
Packaged: 2019-01-25 17:18:47 UTC; adam
Repository: CRAN
Date/Publication: 2019-01-25 23:10:03 UTC

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Package CholWishart updated to version 1.0.0 with previous version 0.9.4 dated 2019-01-07

Title: Cholesky Decomposition of the Wishart Distribution
Description: Sampling from the Cholesky factorization of a Wishart random variable, sampling from the inverse Wishart distribution, sampling from the Cholesky factorization of an inverse Wishart random variable, sampling from the pseudo Wishart distribution, sampling from the generalized inverse Wishart distribution, computing densities for the Wishart and inverse Wishart distributions, and computing the multivariate gamma and digamma functions.
Author: Geoffrey Thompson [aut, cre], R Core Team [ctb]
Maintainer: Geoffrey Thompson <gzthompson@gmail.com>

Diff between CholWishart versions 0.9.4 dated 2019-01-07 and 1.0.0 dated 2019-01-25

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Package wmwpow updated to version 0.1.1 with previous version 0.1.0 dated 2018-03-02

Title: Exact Power of the Wilcoxon-Mann-Whitney Rank-Sum Test for a Continuous Variable
Description: Power calculator for the two-sample Wilcoxon-Mann-Whitney rank-sum test for a continuous outcome (Mollan, Trumble, Reifeis et. al., Jan. 2019) <arXiv:1901.04597>, (Mann and Whitney 1947) <doi:10.1214/aoms/1177730491>, (Shieh, Jan, and Randles 2006) <doi:10.1080/10485250500473099>.
Author: Ilana Trumble, Orlando Ferrer, Camden Bay, Katie Mollan
Maintainer: Ilana Trumble <ilana.trumble@ucdenver.edu>

Diff between wmwpow versions 0.1.0 dated 2018-03-02 and 0.1.1 dated 2019-01-25

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Package ETAS updated to version 0.4.6 with previous version 0.4.5 dated 2018-11-28

Title: Modeling Earthquake Data Using 'ETAS' Model
Description: Fits the space-time Epidemic Type Aftershock Sequence ('ETAS') model to earthquake catalogs using a stochastic 'declustering' approach. The 'ETAS' model is a 'spatio-temporal' marked point process model and a special case of the 'Hawkes' process. The package is based on a Fortran program by 'Jiancang Zhuang' (available at <http://bemlar.ism.ac.jp/zhuang/software.html>), which is modified and translated into C++ and C such that it can be called from R. Parallel computing with 'OpenMP' is possible on supported platforms.
Author: Abdollah Jalilian [aut, cre] (<https://orcid.org/0000-0002-6573-0069>), Jiancang Zhuang [ctb] (<https://orcid.org/0000-0002-9708-3871>)
Maintainer: Abdollah Jalilian <jalilian@razi.ac.ir>

Diff between ETAS versions 0.4.5 dated 2018-11-28 and 0.4.6 dated 2019-01-25

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Package SwarmSVM updated to version 0.1-5 with previous version 0.1-4 dated 2018-04-18

Title: Ensemble Learning Algorithms Based on Support Vector Machines
Description: Three ensemble learning algorithms based on support vector machines. They all train support vector machines on subset of data and combine the result.
Author: Tong He <hetong007@gmail.com>, Aydin Demircioglu <aydin.demircioglu@ini.ruhr-uni-bochum.de>
Maintainer: Tong He <hetong007@gmail.com>

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Package neonUtilities updated to version 1.2.0 with previous version 1.0.1 dated 2018-11-13

Title: Utilities for Working with NEON Data
Description: NEON data packages can be accessed through the NEON Data Portal <http://data.neonscience.org> or through the NEON Data API (see <http://data.neonscience.org/data-api> for documentation). Data delivered from the Data Portal are provided as monthly zip files packaged within a parent zip file, while individual files can be accessed from the API. This package provides tools that aid in discovering, downloading, and reformatting data prior to use in analyses. This includes downloading data via the API, merging data tables by type, and converting formats. For more information, see the readme file at <https://github.com/NEONScience/NEON-utilities>.
Author: Christine Laney <claney@battelleecology.org>, Claire Lunch <clunch@battelleecology.org>
Maintainer: Claire Lunch <clunch@battelleecology.org>

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Package zyp updated to version 0.10-1.1 with previous version 0.10-1 dated 2013-09-19

Title: Zhang + Yue-Pilon Trends Package
Description: Contains an efficient implementation of Sen's slope method (Sen, 1968) plus implementation of Xuebin Zhang's (Zhang, 1999) and Yue-Pilon's (Yue, 2002) prewhitening approaches to determining trends in climate data.
Author: David Bronaugh <bronaugh@uvic.ca>, Arelia Werner <wernera@uvic.ca> for the Pacific Climate Impacts Consortium
Maintainer: David Bronaugh <bronaugh@uvic.ca>

Diff between zyp versions 0.10-1 dated 2013-09-19 and 0.10-1.1 dated 2019-01-25

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Package tsbugs updated to version 1.2.1 with previous version 1.2 dated 2013-02-25

Title: Create Time Series BUGS Models
Description: Contains a collection of R functions that can be used to create time series BUGS models of various order. Included are function to create BUGS with non-constant variance such stochastic volatility models and random variance shift models.
Author: Guy J. Abel
Maintainer: "Guy J. Abel" <g.j.abel@gmail.com>

Diff between tsbugs versions 1.2 dated 2013-02-25 and 1.2.1 dated 2019-01-25

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Package scalreg updated to version 1.0.1 with previous version 1.0 dated 2013-12-17

Title: Scaled Sparse Linear Regression
Description: Algorithms for fitting scaled sparse linear regression and estimating precision matrices.
Author: Tingni Sun
Maintainer: Tingni Sun <tingni@wharton.upenn.edu>

Diff between scalreg versions 1.0 dated 2013-12-17 and 1.0.1 dated 2019-01-25

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Package peperr updated to version 1.1-7.1 with previous version 1.1-7 dated 2013-04-08

Title: Parallelised Estimation of Prediction Error
Description: Designed for prediction error estimation through resampling techniques, possibly accelerated by parallel execution on a compute cluster. Newly developed model fitting routines can be easily incorporated.
Author: Christine Porzelius, Harald Binder
Maintainer: Christine Porzelius <cp@imbi.uni-freiburg.de>

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Package npsm updated to version 0.5.1 with previous version 0.5 dated 2014-11-06

Title: Package for Nonparametric Statistical Methods using R
Description: Functions and datasets used in the book Nonparametric Statistical Methods Using R.
Author: John Kloke, Joseph McKean
Maintainer: John Kloke <kloke@biostat.wisc.edu>

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Package qrjoint updated to version 2.0-3 with previous version 2.0-2 dated 2018-09-13

Title: Joint Estimation in Linear Quantile Regression
Description: Joint estimation of quantile specific intercept and slope parameters in a linear regression setting.
Author: Surya Tokdar <surya.tokdar@duke.edu> and Erika Cunningham <erika.ball@duke.edu>
Maintainer: Surya Tokdar <surya.tokdar@duke.edu>

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Package BGData updated to version 2.1.0 with previous version 2.0.0 dated 2018-08-24

Title: A Suite of Packages for Analysis of Big Genomic Data
Description: An umbrella package providing a phenotype/genotype data structure and scalable and efficient computational methods for large genomic datasets in combination with several other packages: 'BEDMatrix', 'LinkedMatrix', and 'symDMatrix'.
Author: Gustavo de los Campos [aut], Alexander Grueneberg [aut, cre], Paulino Perez [ctb], Ana Vazquez [ctb]
Maintainer: Alexander Grueneberg <alexander.grueneberg@googlemail.com>

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Package beginr updated to version 0.1.5 with previous version 0.1.4 dated 2019-01-11

Title: Functions for R Beginners
Description: Useful functions for R beginners, including hints for the arguments of the 'plot()' function, self-defined functions for error bars, user-customized pair plots and hist plots, enhanced linear regression figures, etc.. This package could be helpful to R experts as well.
Author: Peng Zhao
Maintainer: Peng Zhao <pzhao@pzhao.net>

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Package Brq updated to version 2.3 with previous version 2.2 dated 2019-01-14

Title: Bayesian Analysis of Quantile Regression Models
Description: Bayesian estimation and variable selection for quantile regression models.
Author: Rahim Alhamzawi
Maintainer: Rahim Alhamzawi (University of Al-Qadisiyah) <rahim.alhamzawi@qu.edu.iq>

Diff between Brq versions 2.2 dated 2019-01-14 and 2.3 dated 2019-01-25

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2014-03-18 1.3
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2018-06-05 0.6

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2015-10-23 0.1.0

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2017-02-21 1.8.1
2016-08-25 1.8
2016-06-14 1.7
2016-03-30 1.6
2016-03-19 1.5
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2016-09-28 1.0

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Package stratEst updated to version 0.1.2 with previous version 0.1.1 dated 2018-12-17

Title: Strategy Estimation
Description: Variants of the strategy frequency estimation method by Dal Bo & Frechette (2011) <doi:10.1257/aer.101.1.411>, including the adaptation to estimate choice parameters of behavior strategies by Breitmoser (2015) <doi:10.1257/aer.20130675>, and the extension in the spirit of latent-class regression by Dvorak & Fehrler (2018) <doi:10.2139/ssrn.2986445>.
Author: Fabian Dvorak
Maintainer: Fabian Dvorak <fabian.dvorak@uni.kn>

Diff between stratEst versions 0.1.1 dated 2018-12-17 and 0.1.2 dated 2019-01-25

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New package ssev with initial version 0.1.0
Package: ssev
Title: Sample Size Computation for Fixed N with Optimal Reward
Version: 0.1.0
Authors@R: person("Maurits", "Kaptein", email = "maurits@mauritskaptein.com", role = c("aut", "cre"))
Description: Computes the optimal sample size for various 2-group designs (e.g., when comparing the means of two groups assuming equal variances, unequal variances, or comparing proportions) when the aim is to maximize the rewards over the full decision procedure of a) running a trial (with the computed sample size), and b) subsequently administering the winning treatment to the remaining N-n units in the population. Sample sizes and expected rewards for standard t- and z- tests are also provided.
Depends: R (>= 3.4)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: pwr, MESS, stats
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-18 15:43:33 UTC; mauritskate
Author: Maurits Kaptein [aut, cre]
Maintainer: Maurits Kaptein <maurits@mauritskaptein.com>
Repository: CRAN
Date/Publication: 2019-01-25 17:30:03 UTC

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New package rehydratoR with initial version 0.5.1
Package: rehydratoR
Type: Package
Title: Downloads Tweets from a List of Tweet IDs
Version: 0.5.1
Authors@R: c( person("Kevin", "Coakley", email = "kcoakley@sdsc.edu", role = c("aut", "cre")), person("Zachary", "Steinert-Threlkeld", email = "zst@luskin.ucla.edu", role = "ctb"))
Author: Kevin Coakley [aut, cre], Zachary Steinert-Threlkeld [ctb]
URL: https://kevincoakley.github.io/rehydratoR/
BugReports: https://github.com/kevincoakley/rehydratoR/issues
Description: Facilitates replication of Twitter-based research by handling common programming tasks needed when downloading tweets. Specifically, it ensures a user does not exceed Twitter’s rate limits, and it saves tweets in moderately sized files. While a user could perform these tasks in their own code, doing so may be beyond the capabilities of many users.
Maintainer: Kevin Coakley <kcoakley@sdsc.edu>
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: rtweet (>= 0.6.7), tibble (>= 1.3.4), dplyr (>= 0.7.6), jsonlite (>= 1.5)
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-01-18 22:23:36 UTC; kcoakley
Repository: CRAN
Date/Publication: 2019-01-25 17:10:03 UTC

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New package NetLogoR with initial version 0.3.5
Package: NetLogoR
Title: Build and Run Spatially Explicit Agent-Based Models
Description: Build and run spatially explicit agent-based models using only the R platform. 'NetLogoR' follows the same framework as the 'NetLogo' software (Wilensky, 1999 <http://ccl.northwestern.edu/netlogo/>) and is a translation in R of the structure and functions of 'NetLogo'. 'NetLogoR' provides new R classes to define model agents and functions to implement spatially explicit agent-based models in the R environment. This package allows benefiting of the fast and easy coding phase from the highly developed 'NetLogo' framework, coupled with the versatility, power and massive resources of the R software. Examples of three models (Ants <http://ccl.northwestern.edu/netlogo/models/Ants>, Butterfly (Railsback and Grimm, 2012) and Wolf-Sheep-Predation <http://ccl.northwestern.edu/netlogo/models/WolfSheepPredation>) written using 'NetLogoR' are available. The 'NetLogo' code of the original version of these models is provided alongside. A programming guide inspired from the 'NetLogo' Programming Guide (<https://ccl.northwestern.edu/netlogo/docs/programming.html>) and a dictionary of 'NetLogo' primitives (<https://ccl.northwestern.edu/netlogo/docs/dictionary.html>) equivalences are also available. NOTE: To increment 'time', these functions can use a for loop or can be integrated with a discrete event simulator, such as 'SpaDES' (<https://cran.r-project.org/package=SpaDES>). The suggested package 'fastshp' can be installed with 'install.packages("fastshp", repos = "https://rforge.net", type = "source")'.
URL: http://netlogor.predictiveecology.org, https://github.com/PredictiveEcology/NetLogoR/
Version: 0.3.5
Date: 2019-01-25
Authors@R: c( person("Sarah", "Bauduin", email = "sarahbauduin@hotmail.fr", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3252-5894")), person("Eliot J B", "McIntire", email = "eliot.mcintire@canada.ca", role = c("aut"), comment=c(ORCID = "0000-0002-6914-8316")), person("Alex M", "Chubaty", email = "alex.chubaty@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0001-7146-8135")), person("Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada", role = "cph") )
Depends: R (>= 3.3.0), raster
Imports: abind, car, CircStats, data.table, grDevices, Hmisc, matrixStats, methods, plyr, quickPlot (>= 0.1.2), sp, SpaDES.tools, stats, rgeos
Suggests: fastshp, knitr, magrittr, microbenchmark, rmarkdown, sf, SpaDES.core, testthat
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr, rmarkdown
BugReports: https://github.com/PredictiveEcology/NetLogoR/issues
ByteCompile: yes
LazyData: true
RoxygenNote: 6.1.1
Additional_repositories: https://rforge.net
Collate: 'Agent-classes.R' 'Classes.R' 'NetLogoR-package.R' 'worldNLR-classes-methods.R' 'agentMatrix-Class-methods.R' 'agentset-functions.R' 'function-arguments.R' 'patch-functions.R' 'plot.R' 'world-functions.R' 'quickPlot.R' 'spades-functions.R' 'turtle-functions.R'
NeedsCompilation: no
Packaged: 2019-01-25 16:26:49 UTC; bauduin
Author: Sarah Bauduin [aut, cre] (<https://orcid.org/0000-0002-3252-5894>), Eliot J B McIntire [aut] (<https://orcid.org/0000-0002-6914-8316>), Alex M Chubaty [aut] (<https://orcid.org/0000-0001-7146-8135>), Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Sarah Bauduin <sarahbauduin@hotmail.fr>
Repository: CRAN
Date/Publication: 2019-01-25 17:20:07 UTC

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New package matsbyname with initial version 0.4.9
Package: matsbyname
Type: Package
Title: An Implementation of Matrix Mathematics
Version: 0.4.9
Date: 2019-01-17
Authors@R: c(person("Matthew", "Heun", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7438-214X"), email = "matthew.heun@me.com"))
Maintainer: Matthew Heun <matthew.heun@me.com>
Description: An implementation of matrix mathematics wherein operations are performed "by name."
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
RoxygenNote: 6.1.1
Imports: dplyr, Hmisc, magrittr
Suggests: testthat, knitr, rmarkdown, tidyr, covr
VignetteBuilder: knitr
URL: https://github.com/MatthewHeun/matsbyname
BugReports: https://github.com/MatthewHeun/matsbyname/issues
NeedsCompilation: no
Packaged: 2019-01-18 21:13:10 UTC; mkh2
Author: Matthew Heun [aut, cre] (<https://orcid.org/0000-0002-7438-214X>)
Repository: CRAN
Date/Publication: 2019-01-25 17:30:14 UTC

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Package gensemble updated to version 1.0.1 with previous version 1.0 dated 2013-02-11

Title: Generalized Ensemble Methods
Description: Generalized ensemble methods allowing arbitrary underlying models to be used. Currently only bagging is supported.
Author: Peter Werner, Eugene Dubossarsky
Maintainer: Peter Werner <gensemble.r@gmail.com>

Diff between gensemble versions 1.0 dated 2013-02-11 and 1.0.1 dated 2019-01-25

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New package BENMMI with initial version 4.3-6
Package: BENMMI
Type: Package
Title: Benthic Multi-Metric Index
Description: Analysis tool for evaluating benthic multimetric indices (BENMMIs). It generates reproducible reports on the analysis of benthic data, e.g., validation and correction of species names, sample pooling, automatic conversion of genus to species names, outlier detection, benthic indicator calculation, optimization of single and multimetric indicators against a pressure gradient, and spatial aggregation of benthic indicators. One of its use cases was the development of a common benthic indicator for <https://www.ospar.org> (publication accepted by Ecological Indicators). See Van Loon et al. (2018) <doi:10.1016/j.ecolind.2017.09.029> for details.
Version: 4.3-6
Date: 2019-01-18
Authors@R: c(person(given = "Dennis", family = "Walvoort", email = "dennis.Walvoort@wur.nl", role = c("aut", "cre")), person(given = "Willem", family = "van Loon", email = "willem.van.loon@rws.nl", role = c("aut", "cph")))
Depends: R (>= 3.2.0)
Imports: benthos (>= 1.3-5), readr, purrr, knitr, markdown, jsonlite, xtable, dplyr (>= 0.7.0), tidyr, ggplot2 (>= 2.0.0)
Suggests: DEoptim
License: GPL (>= 3)
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-01-18 07:56:47 UTC; dennis
Author: Dennis Walvoort [aut, cre], Willem van Loon [aut, cph]
Maintainer: Dennis Walvoort <dennis.Walvoort@wur.nl>
Repository: CRAN
Date/Publication: 2019-01-25 17:30:26 UTC

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Package rpn (with last version 1.0) was removed from CRAN

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2016-06-13 1.0

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2018-07-28 0.1.0

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2016-11-09 1.2.3
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2015-05-23 1.2
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2015-01-27 1.1.5
2014-04-13 1.1.3
2014-02-19 1.0.3
2014-01-03 1.0.2
2013-09-28 1.0.1
2013-07-23 1.0

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Package MCMC.OTU (with last version 1.0.10) was removed from CRAN

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2016-02-11 1.0.10
2014-05-05 1.0.8

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Package NOAAWeather (with last version 0.1.0) was removed from CRAN

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2018-03-21 0.1.0

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New package timeR with initial version 1.0.0
Package: timeR
Type: Package
Title: Time Your Codes
Version: 1.0.0
Author: Yifu Yan
Maintainer: Yifu Yan <yanyifu94@hotmail.com>
Description: Provides a 'timer' class that makes timing codes easier. One can create 'timer' objects and use them to record all timings, and extract recordings as data frame for later use.
URL: https://github.com/yusuzech/timeR
BugReports: https://github.com/yusuzech/timeR/issues
Depends: R (>= 3.1.0)
Imports: R6
License: Apache License (== 2.0) | file LICENSE
LazyData: true
Encoding: UTF-8
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-17 19:32:04 UTC; yanyi
Repository: CRAN
Date/Publication: 2019-01-25 17:00:03 UTC

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New package surveysd with initial version 1.0.0
Package: surveysd
Type: Package
Title: Survey Standard Error Estimation for Cumulated Estimates and their Differences in Complex Panel Designs
Version: 1.0.0
Date: 2019-01-07
Authors@R: c(person("Johannes", "Gussenbauer", role = c("aut", "cre"), email = "Johannes.Gussenbauer@statistik.gv.at"), person("Alexander", "Kowarik", role = "aut", email = "Alexander.Kowarik@statistik.gv.at", comment=c(ORCID="0000-0001-8598-4130")), person("Gregor", "de Cillia", role = "aut", email = "Gregor.deCillia@statistik.gv.at"), person("Matthias", "Till", role = "ctb", email = "Matthias.Till@statistik.gv.at"))
Maintainer: Johannes Gussenbauer <Johannes.Gussenbauer@statistik.gv.at>
Description: Calculate point estimates and their standard errors in complex household surveys using bootstrap replicates. Bootstrapping considers survey design with a rotating panel. A comprehensive description of the methodology can be found under <https://statistikat.github.io/surveysd/articles/methodology.html>.
Encoding: UTF-8
LazyData: true
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.12),data.table,matrixStats, ggplot2, laeken, methods, dplyr
LinkingTo: Rcpp
URL: https://github.com/statistikat/surveysd
BugReports: https://github.com/statistikat/surveysd/issues
RoxygenNote: 6.1.1
Suggests: testthat, simPop
NeedsCompilation: yes
Packaged: 2019-01-17 15:49:59 UTC; gussenbauer
Author: Johannes Gussenbauer [aut, cre], Alexander Kowarik [aut] (<https://orcid.org/0000-0001-8598-4130>), Gregor de Cillia [aut], Matthias Till [ctb]
Repository: CRAN
Date/Publication: 2019-01-25 16:40:03 UTC

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New package provSummarizeR with initial version 1.0
Package: provSummarizeR
Title: Summarizes Provenance Related to Inputs and Outputs of a Script or Console Commands
Version: 1.0
Date: 2019-01-09
Authors@R: c( person("Barbara", "Lerner", role = "cre", email = "blerner@mtholyoke.edu"), person("Emery", "Boose", role = "aut", email = "boose@fas.harvard.edu") )
Copyright: President and Fellows of Harvard College, Trustees of Mount Holyoke College
Description: Reads the provenance collected by the 'rdt' or 'rdtLite' packages, or other tools providing compatible PROV JSON output created by the execution of a script, and provides a human-readable summary identifying the input and output files, the script used (if any), errors and warnings produced, and the environment in which it was executed. It can also optionally package all the files into a zip file. The exact format of the JSON created by 'rdt' and 'rdtLite' is described in <https://github.com/End-to-end-provenance/ExtendedProvJson>. More information about 'rdtLite' and associated tools is available at <https://github.com/End-to-end-provenance/> and Barbara Lerner, Emery Boose, and Luis Perez (2018), Using Introspection to Collect Provenance in R, Informatics, <doi: 10.3390/informatics5010012>.
Depends: R (>= 3.5)
License: GPL-3 | file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, provParseR
Suggests: rdtLite, rdt, testthat
Additional_repositories: https://end-to-end-provenance.github.io/drat/
URL: https://github.com/End-to-end-provenance
BugReports: https://github.com/End-to-end-provenance/provSummarizeR/issues
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-16 22:22:49 UTC; blerner
Author: Barbara Lerner [cre], Emery Boose [aut]
Maintainer: Barbara Lerner <blerner@mtholyoke.edu>
Repository: CRAN
Date/Publication: 2019-01-25 16:50:03 UTC

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New package overture with initial version 0.1-0
Package: overture
Type: Package
Title: Tools for Writing MCMC
Version: 0.1-0
Authors@R: person("Kurtis", "Shuler", role=c("aut", "cre"), email="kurtis.s.1122+CRAN@gmail.com")
Description: Simplifies MCMC setup by automatically looping through sampling functions and saving the results. Reduces the memory footprint of running MCMC and saves samples to disk as the chain runs. Allows samples from the chain to be analyzed while the MCMC is still running. Provides functions for commonly performed operations such as calculating Metropolis acceptance ratios and creating adaptive Metropolis samplers. References: Roberts and Rosenthal (2009) <doi:10.1198/jcgs.2009.06134>.
License: LGPL-3
URL: https://github.com/kurtis-s/overture
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Suggests: testthat, mockery, covr
Imports: bigmemory
NeedsCompilation: no
Packaged: 2019-01-18 07:26:28 UTC; kws
Author: Kurtis Shuler [aut, cre]
Maintainer: Kurtis Shuler <kurtis.s.1122+CRAN@gmail.com>
Repository: CRAN
Date/Publication: 2019-01-25 17:00:06 UTC

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New package ICDS with initial version 0.1.1
Package: ICDS
Type: Package
Title: Identification of Cancer Dysfunctional Subpathway by Integrating DNA Methylation, Copy Number Variation, and Gene Expression Data
Version: 0.1.1
Author: Junwei Han,Baotong Zheng,Siyao Liu
Maintainer: Junwei Han <hanjunwei1981@163.com>
Description: Identify Cancer Dysfunctional Sub-pathway by integrating gene expression, DNA methylation and copy number variation, and pathway topological information. 1)We firstly calculate the gene risk scores by integrating three kinds of data: DNA methylation, copy number variation, and gene expression. 2)Secondly, we perform a greedy search algorithm to identify the key dysfunctional sub-pathways within the pathways for which the discriminative scores were locally maximal. 3)Finally, the permutation test was used to calculate statistical significance level for these key dysfunctional sub-pathways.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, prettydoc
VignetteBuilder: knitr
Imports: igraph, graphite, metap, methods, org.Hs.eg.db
Depends: R (>= 2.10)
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-18 08:22:40 UTC; zbt
Repository: CRAN
Date/Publication: 2019-01-25 17:00:10 UTC

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New package catseyes with initial version 0.2.3
Package: catseyes
Type: Package
Title: Create Catseye Plots Illustrating the Normal Distribution of the Means
Version: 0.2.3
Authors@R: person("Clark", "Andersen", email = "clanders@utmb.edu", role=c("cre","aut"))
Description: Provides the tools to produce catseye plots, principally by catseyesplot() function which calls R's standard plot() function internally, or alternatively by the catseyes() function to overlay the catseye plot onto an existing R plot window. Catseye plots illustrate the normal distribution of the mean (picture a normal bell curve reflected over its base and rotated 90 degrees), with a shaded confidence interval; they are an intuitive way of illustrating and comparing normally distributed estimates, and are arguably a superior alternative to standard confidence intervals, since they show the full distribution rather than fixed quantile bounds. The catseyesplot and catseyes functions require pre-calculated means and standard errors (or standard deviations), provided as numeric vectors; this allows the flexibility of obtaining this information from a variety of sources, such as direct calculation or prediction from a model. Catseye plots, as illustrations of the normal distribution of the means, are described in Cumming (2013 & 2014). Cumming, G. (2013). The new statistics: Why and how. Psychological Science, 27, 7-29. <doi:10.1177/0956797613504966> pmid:24220629.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Suggests: emmeans
NeedsCompilation: no
Packaged: 2019-01-17 18:52:35 UTC; clanders
Author: Clark Andersen [cre, aut]
Maintainer: Clark Andersen <clanders@utmb.edu>
Repository: CRAN
Date/Publication: 2019-01-25 16:50:06 UTC

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New package IMaGES with initial version 0.1
Package: IMaGES
Version: 0.1
Date: 2019-01-04
Title: Independent Multiple-Sample Greedy Equivalence Search Implementation
Description: Functions for the implementation of Independent Multiple-sample Greedy Equivalence Search (IMaGES), a causal inference algorithm for creating aggregate graphs and structural equation modeling data for one or more datasets. This package is useful for time series data with specific regions of interest. This implementation is inspired by the paper "Six problems for causal inference from fMRI" by Ramsey, Hanson, Hanson, Halchenko, Poldrack, and Glymour (2010) <DOI:10.1016/j.neuroimage.2009.08.065>. The IMaGES algorithm uses a modified BIC score to compute goodness of fit of edge additions, subtractions, and turns across all datasets and returns a representative graph, along with structural equation modeling data for the global graph and individual datasets, means, and standard errors. Functions for plotting the resulting graph(s) are provided. This package is built upon the 'pcalg' package.
Maintainer: Noah Frazier-Logue <n.frazier.logue@nyu.edu>
Authors@R: c(person("Noah","Frazier-Logue", email="n.frazier.logue@nyu.edu", role=c("aut","cre")), person("Stephen Jose","Hanson", email="jose@rubic.rutgers.edu", role=c("aut")), person("Markus","Kalisch", role=c("ctb")), person("Alain", "Hauser", role="ctb"), person("Martin","Maechler", role="ctb"), person("Diego", "Colombo", role="ctb"), person("Doris", "Entner", role="ctb"), person("Patrik","Hoyer", role="ctb"), person("Antti", "Hyttinen", role="ctb"), person("Jonas", "Peters", role="ctb"), person("Nicoletta", "Andri", role="ctb"), person("Emilija", "Perkovic", role="ctb"), person("Preetam", "Nandy", role="ctb"), person("Philipp", "Ruetimann", role="ctb"), person("Daniel", "Stekhoven", role="ctb"), person("Manuel", "Schuerch", role="ctb"))
Author: Noah Frazier-Logue [aut, cre], Stephen Jose Hanson [aut], Markus Kalisch [ctb], Alain Hauser [ctb], Martin Maechler [ctb], Diego Colombo [ctb], Doris Entner [ctb], Patrik Hoyer [ctb], Antti Hyttinen [ctb], Jonas Peters [ctb], Nicoletta Andri [ctb], Emilija Perkovic [ctb], Preetam Nandy [ctb], Philipp Ruetimann [ctb], Daniel Stekhoven [ctb], Manuel Schuerch [ctb]
Depends: R (>= 3.2.3)
LinkingTo: Rcpp (>= 0.11.0), RcppArmadillo, BH
Imports: stats, graphics, utils, methods, graph, igraph, ggm, Rcpp, sfsmisc, lavaan, Rgraphviz
Suggests: knitr, rmarkdown
LazyData: true
VignetteBuilder: knitr
ByteCompile: yes
NeedsCompilation: yes
Encoding: UTF-8
License: GPL (>= 2)
Packaged: 2019-01-04 16:04:57 UTC; noahfl
Repository: CRAN
RoxygenNote: 6.1.0
Date/Publication: 2019-01-25 15:50:03 UTC

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Package vioplot updated to version 0.3.0 with previous version 0.2 dated 2005-10-29

Title: Violin Plot
Description: A violin plot is a combination of a box plot and a kernel density plot. This package allows extensive customisation of violin plots.
Author: Daniel Adler <dadler@uni-goettingen.de>
Maintainer: Tom Kelly <tom.kelly@postgrad.otago.ac.nz>

Diff between vioplot versions 0.2 dated 2005-10-29 and 0.3.0 dated 2019-01-25

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Package GAS updated to version 0.3.0 with previous version 0.2.9 dated 2018-09-18

Title: Generalized Autoregressive Score Models
Description: Simulate, estimate and forecast using univariate and multivariate GAS models as described in Ardia et al. (2019) <doi:10.18637/jss.v088.i06>.
Author: Leopoldo Catania [aut,cre], Kris Boudt [ctb], David Ardia [ctb]
Maintainer: Leopoldo Catania <leopoldo.catania@econ.au.dk>

Diff between GAS versions 0.2.9 dated 2018-09-18 and 0.3.0 dated 2019-01-25

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Package Semblance updated to version 1.1.0 with previous version 0.1.0 dated 2018-05-30

Title: A Data-Driven Similarity Kernel on Probability Spaces
Description: We present a rank-based Mercer kernel to compute a pair-wise similarity metric corresponding to informative representation of data. We tailor the development of a kernel to encode our prior knowledge about the data distribution over a probability space. The philosophical concept behind our construction is that objects whose feature values fall on the extreme of that feature’s probability mass distribution are more similar to each other, than objects whose feature values lie closer to the mean. Semblance emphasizes features whose values lie far away from the mean of their probability distribution. The kernel relies on properties empirically determined from the data and does not assume an underlying distribution. The use of feature ranks on a probability space ensures that Semblance is computational efficacious, robust to outliers, and statistically stable, thus making it widely applicable algorithm for pattern analysis. The output from the kernel is a square, symmetric matrix that gives proximity values between pairs of observations.
Author: Divyansh Agarwal <divyansh@upenn.edu> Nancy R. Zhang <nzh@wharton.upenn.edu>
Maintainer: Divyansh Agarwal <divyansh@upenn.edu>

Diff between Semblance versions 0.1.0 dated 2018-05-30 and 1.1.0 dated 2019-01-25

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Package ROI.models.miplib updated to version 0.0-2 with previous version 0.0-1 dated 2017-05-23

Title: R Optimization Infrastructure: 'MIPLIB' 2010 Benchmark Instances
Description: The mixed integer programming library 'MIPLIB' (see <http://miplib.zib.de/>) is commonly used to compare the performance of mixed integer optimization solvers. This package provides functions to access 'MIPLIB' from the 'R' Optimization Infrastructure ('ROI'). More information about 'MIPLIB' can be found in the paper by Koch et al. available at <http://mpc.zib.de/index.php/MPC/article/viewFile/56/28>. The 'README.md' file illustrates how to use this package.
Author: Florian Schwendinger [aut, cre], Stefan Theussl [aut]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between ROI.models.miplib versions 0.0-1 dated 2017-05-23 and 0.0-2 dated 2019-01-25

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Package mvSLOUCH updated to version 2.0.0 with previous version 1.3.4 dated 2018-05-16

Title: Multivariate Stochastic Linear Ornstein-Uhlenbeck Models for Phylogenetic Comparative Hypotheses
Description: Fits multivariate Ornstein-Uhlenbeck types of models to continues trait data from species related by a common evolutionary history. See K. Bartoszek, J, Pienaar, P. Mostad, S. Andersson, T. F.Hansen (2012) <doi:10.1016/j.jtbi.2012.08.005>.
Author: Krzysztof Bartoszek <krzbar@protonmail.ch>
Maintainer: Krzysztof Bartoszek <krzbar@protonmail.ch>

Diff between mvSLOUCH versions 1.3.4 dated 2018-05-16 and 2.0.0 dated 2019-01-25

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Package mindr updated to version 1.2.0 with previous version 1.1.9 dated 2018-12-16

Title: Convert Files Between Markdown or Rmarkdown Files and Mindmaps
Description: Convert Markdown ('.md') or Rmarkdown ('.Rmd') files into mindmap widgets or files ('.mm'), and vice versa. FreeMind mindmap ('.mm') files can be opened by or imported to common mindmap software such as 'FreeMind' (<http://freemind.sourceforge.net/wiki/index.php/Main_Page>) and 'XMind' (<http://www.xmind.net>).
Author: Peng Zhao
Maintainer: Peng Zhao <pzhao@pzhao.net>

Diff between mindr versions 1.1.9 dated 2018-12-16 and 1.2.0 dated 2019-01-25

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Package MAMS updated to version 1.3 with previous version 1.2 dated 2017-09-14

Title: Designing Multi-Arm Multi-Stage Studies
Description: Designing multi-arm multi-stage studies with (asymptotically) normal endpoints and known variance.
Author: Thomas Jaki <jaki.thomas@gmail.com>, Dominic Magirr <d.magirr@gmail.com>, Philip Pallmann <p.pallmann@lancaster.ac.uk>
Maintainer: Thomas Jaki <jaki.thomas@gmail.com>

Diff between MAMS versions 1.2 dated 2017-09-14 and 1.3 dated 2019-01-25

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New package imagerExtra with initial version 1.3.2
Package: imagerExtra
Type: Package
Title: Extra Image Processing Library Based on 'imager'
Version: 1.3.2
Authors@R: c( person("Shota", "Ochi", email = "shotaochi1990@gmail.com", role = c("aut", "cre")), person("Guoshen", "Yu", email = "yu@cmap.polytechnique.fr", role = c("ctb", "cph")), person("Guillermo", "Sapiro", email = "guille@umn.edu", role = c("ctb", "cph")), person("Catalina", "Sbert", email = "catalina.sbert@uib.es", role = c("ctb", "cph")), person("Image Processing On Line", role = "cph"), person("Pascal", "Getreuer", email = "getreuer@gmail.com", role = c("ctb", "cph")))
Maintainer: Shota Ochi <shotaochi1990@gmail.com>
Description: Provides advanced functions for image processing based on the package 'imager'.
License: GPL-3
Depends: R (>= 2.10.0), imager (>= 0.40.2)
Imports: fftwtools, magrittr, Rcpp (>= 0.12.14)
Suggests: testthat (>= 2.0.0), knitr, rmarkdown, tesseract
URL: https://github.com/ShotaOchi/imagerExtra
BugReports: https://github.com/ShotaOchi/imagerExtra/issues
LinkingTo: Rcpp
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2019-01-24 16:05:36 UTC; shota
Author: Shota Ochi [aut, cre], Guoshen Yu [ctb, cph], Guillermo Sapiro [ctb, cph], Catalina Sbert [ctb, cph], Image Processing On Line [cph], Pascal Getreuer [ctb, cph]
Repository: CRAN
Date/Publication: 2019-01-25 13:50:02 UTC

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Package bookdownplus updated to version 1.5.5 with previous version 1.5.4 dated 2018-12-16

Title: Generate Assorted Books and Documents with R 'bookdown' Package
Description: A collection and selector of R 'bookdown' templates. 'bookdownplus' helps you write academic journal articles, guitar books, chemical equations, mails, calendars, and diaries. R 'bookdownplus' extends the features of 'bookdown', and simplifies the procedure. Users only have to choose a template, clarify the book title and author name, and then focus on writing the text. No need to struggle in 'YAML' and 'LaTeX'.
Author: Peng Zhao
Maintainer: Peng Zhao <pzhao@pzhao.net>

Diff between bookdownplus versions 1.5.4 dated 2018-12-16 and 1.5.5 dated 2019-01-25

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Package TSEtools updated to version 0.1.2 with previous version 0.1.1 dated 2018-04-21

Title: Download and Manage Data from Tehran Stock Exchange
Description: Tools for downloading and organizing data from Tehran Stock Exchange (TSE) <http://new.tse.ir/en/>. It also performs some descriptive data analysis for assets.
Author: Ali Saeb
Maintainer: Ali Saeb <ali.saeb@gmail.com>

Diff between TSEtools versions 0.1.1 dated 2018-04-21 and 0.1.2 dated 2019-01-25

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Package ROI.plugin.optimx updated to version 0.3-2 with previous version 0.3-0 dated 2017-10-22

Title: 'optimx' Plug-in for the 'R' Optimization Infrastructure
Description: Enhances the R Optimization Infrastructure ('ROI') package with the 'optimx' package.
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between ROI.plugin.optimx versions 0.3-0 dated 2017-10-22 and 0.3-2 dated 2019-01-25

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Package genoPlotR updated to version 0.8.9 with previous version 0.8.7 dated 2017-11-06

Title: Plot Publication-Grade Gene and Genome Maps
Description: Draws gene or genome maps and comparisons between these, in a publication-grade manner. Starting from simple, common files, it will draw postscript or PDF files that can be sent as such to journals.
Author: Lionel Guy <lionel.guy@imbim.uu.se>
Maintainer: Lionel Guy <lionel.guy@imbim.uu.se>

Diff between genoPlotR versions 0.8.7 dated 2017-11-06 and 0.8.9 dated 2019-01-25

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Package visvow updated to version 0.4.0 with previous version 0.3.0 dated 2018-11-05

Title: Visible Vowels: Visualization of Vowel Variation
Description: Visualizes vowel variation in f0, F1, F2, F3 and duration.
Author: Wilbert Heeringa, Hans Van de Velde
Maintainer: Wilbert Heeringa <wjheeringa@gmail.com>

Diff between visvow versions 0.3.0 dated 2018-11-05 and 0.4.0 dated 2019-01-25

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Package permuco updated to version 1.0.2 with previous version 1.0.1 dated 2018-02-14

Title: Permutation Tests for Regression, (Repeated Measures) ANOVA/ANCOVA and Comparison of Signals
Description: Functions to compute p-values based on permutation tests. Regression, ANOVA and ANCOVA, omnibus F-tests, marginal unilateral and bilateral t-tests are available. Several methods to handle nuisance variables are implemented (Kherad-Pajouh, S., & Renaud, O. (2010) <doi:10.1016/j.csda.2010.02.015> ; Kherad-Pajouh, S., & Renaud, O. (2014) <doi:10.1007/s00362-014-0617-3> ; Winkler, A. M., Ridgway, G. R., Webster, M. A., Smith, S. M., & Nichols, T. E. (2014) <doi:10.1016/j.neuroimage.2014.01.060>). An extension for the comparison of signals issued from experimental conditions (e.g. EEG/ERP signals) is provided. Several corrections for multiple testing are possible, including the cluster-mass statistic (Maris, E., & Oostenveld, R. (2007) <doi:10.1016/j.jneumeth.2007.03.024>) and the threshold-free cluster enhancement (Smith, S. M., & Nichols, T. E. (2009) <doi:10.1016/j.neuroimage.2008.03.061>).
Author: Jaromil Frossard [aut, cre], Olivier Renaud [aut]
Maintainer: Jaromil Frossard <jaromil.frossard@unige.ch>

Diff between permuco versions 1.0.1 dated 2018-02-14 and 1.0.2 dated 2019-01-25

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Package modifiedmk updated to version 1.3.0 with previous version 1.2.0 dated 2018-11-06

Title: Modified Versions of Mann Kendall and Spearman's Rho Trend Tests
Description: Power of non-parametric Mann-Kendall test and Spearman’s Rho test is highly influenced by serially correlated data. To address this issue, trend tests may applied on the modified versions of the time series data by Block Bootstrapping (BBS), Prewhitening (PW) , Trend Free Prewhitening (TFPW), Bias Corrected Prewhitening and Variance Correction Approach by calculating effective sample size. Mann, H. B. (1945).<doi:10.1017/CBO9781107415324.004>. Kendall, M. (1975). Multivariate analysis. Charles Griffin&Company Ltd,. sen, P. K. (1968).<doi:10.2307/2285891>. Önöz, B., & Bayazit, M. (2012) <doi:10.1002/hyp.8438>. Hamed, K. H. (2009).<doi:10.1016/j.jhydrol.2009.01.040>. Yue, S., & Wang, C. Y. (2002) <doi:10.1029/2001WR000861>. Yue, S., Pilon, P., Phinney, B., & Cavadias, G. (2002) <doi:10.1002/hyp.1095>. Hamed, K. H., & Ramachandra Rao, A. (1998) <doi:10.1016/S0022-1694(97)00125-X>. Yue, S., & Wang, C. Y. (2004) <doi:10.1023/B:WARM.0000043140.61082.60>.
Author: Sandeep Kumar Patakamuri [aut, cre], Nicole O'Brien [aut, ctb]
Maintainer: Sandeep Kumar Patakamuri <sandeep.patakamuri@gmail.com>

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Package vennLasso updated to version 0.1.5 with previous version 0.1.4 dated 2019-01-10

Title: Variable Selection for Heterogeneous Populations
Description: Provides variable selection and estimation routines for models with main effects stratified on multiple binary factors. The 'vennLasso' package is an implementation of the method introduced in Huling, et al. (2017) <doi:10.1111/biom.12769>.
Author: Jared Huling [aut, cre] (<https://orcid.org/0000-0003-0670-4845>), Muxuan Liang [ctb], Yixuan Qiu [cph], Gael Guennebaud [cph], Ray Gardner [cph], Jitse Niesen [cph]
Maintainer: Jared Huling <jaredhuling@gmail.com>

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Package Sleuth3 updated to version 1.0-3 with previous version 1.0-2.1 dated 2019-01-23

Title: Data Sets from Ramsey and Schafer's "Statistical Sleuth (3rd Ed)"
Description: Data sets from Ramsey, F.L. and Schafer, D.W. (2013), "The Statistical Sleuth: A Course in Methods of Data Analysis (3rd ed)", Cengage Learning.
Author: Original by F.L. Ramsey and D.W. Schafer; modifications by Daniel W. Schafer, Jeannie Sifneos and Berwin A. Turlach; vignettes contributed by Nicholas Horton, Linda Loi, Kate Aloisio and Ruobing Zhang, with corrections by Randall Pruim
Maintainer: Berwin A Turlach <Berwin.Turlach@gmail.com>

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Package pmml updated to version 1.5.7 with previous version 1.5.6 dated 2018-10-08

Title: Generate PMML for Various Models
Description: The Predictive Model Markup Language (PMML) is an XML-based language which provides a way for applications to define machine learning, statistical and data mining models and to share models between PMML compliant applications. More information about the PMML industry standard and the Data Mining Group can be found at <http://www.dmg.org>. The generated PMML can be imported into any PMML consuming application, such as Zementis Predictive Analytics products, which integrate with web services, relational database systems and deploy natively on Hadoop in conjunction with Hive, Spark or Storm, as well as allow predictive analytics to be executed for IBM z Systems mainframe applications and real-time, streaming analytics platforms. The package isofor (used for anomaly detection) can be installed with devtools::install_github("Zelazny7/isofor").
Author: Graham Williams, Tridivesh Jena, Wen Ching Lin, Michael Hahsler (arules), Software AG, Hemant Ishwaran, Udaya B. Kogalur, Rajarshi Guha, Dmitriy Bolotov
Maintainer: Tridivesh Jena <rpmmlsupport@softwareag.com>

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Package fungible updated to version 1.76 with previous version 1.75 dated 2018-11-17

Title: Psychometric Functions from the Waller Lab
Description: Computes fungible coefficients and Monte Carlo data. Underlying theory for these functions is described in the following publications: Waller, N. (2008). Fungible Weights in Multiple Regression. Psychometrika, 73(4), 691-703, <DOI:10.1007/s11336-008-9066-z>. Waller, N. & Jones, J. (2009). Locating the Extrema of Fungible Regression Weights. Psychometrika, 74(4), 589-602, <DOI:10.1007/s11336-008-9087-7>. Waller, N. G. (2016). Fungible Correlation Matrices: A Method for Generating Nonsingular, Singular, and Improper Correlation Matrices for Monte Carlo Research. Multivariate Behavioral Research, 51(4), 554-568, <DOI:10.1080/00273171.2016.1178566>. Jones, J. A. & Waller, N. G. (2015). The normal-theory and asymptotic distribution-free (ADF) covariance matrix of standardized regression coefficients: theoretical extensions and finite sample behavior. Psychometrika, 80, 365-378, <DOI:10.1007/s11336-013-9380-y>. Waller, N. G. (2018). Direct Schmid-Leiman transformations and rank-deficient loadings matrices. Psychometrika, 83, 858-870. <DOI:10.1007/s11336-017-9599-0>.
Author: Niels Waller [aut, cre], Jeff Jones [ctb], Casey Giordano [ctb]
Maintainer: Niels Waller <nwaller@umn.edu>

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Package ROI.models.netlib updated to version 1.1 with previous version 1.0 dated 2016-12-22

Title: 'ROI' Optimization Problems Based on 'NETLIB-LP'
Description: A collection of 'ROI' optimization problems based on the 'NETLIB-LP' collection. 'Netlib' is a software repository, which amongst many other software for scientific computing contains a collection of linear programming problems. The purpose of this package is to make this problems easily accessible from 'R' as 'ROI' optimization problems.
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

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Package secr updated to version 3.2.0 with previous version 3.1.8 dated 2018-11-19

Title: Spatially Explicit Capture-Recapture
Description: Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
Author: Murray Efford
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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Package RSocrata updated to version 1.7.5-3 with previous version 1.7.4-7 dated 2017-12-21

Title: Download or Upload 'Socrata' Data Sets
Description: Provides easier interaction with 'Socrata' open data portals <http://dev.socrata.com>. Users can provide a 'Socrata' data set resource URL, or a 'Socrata' Open Data API (SoDA) web query, or a 'Socrata' "human-friendly" URL, returns an R data frame. Converts dates to 'POSIX' format and manages throttling by 'Socrata'. Users can upload data to 'Socrata' portals directly from R.
Author: Hugh Devlin, Ph. D., Tom Schenk, Jr., Gene Leynes, Nick Lucius, John Malc, Mark Silverberg, and Peter Schmeideskamp
Maintainer: "Tom Schenk Jr." <developers@cityofchicago.org>

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