Wed, 14 Feb 2018

Package TailRank updated to version 3.2.0 with previous version 3.1.3 dated 2017-07-11

Title: The Tail-Rank Statistic
Description: Implements the tail-rank statistic for selecting biomarkers from a microarray data set, an efficient nonparametric test focused on the distributional tails. See <http://bioinformatics.mdanderson.org/TailRank/tolstoy-new.pdf>.
Author: Kevin R. Coombes
Maintainer: Kevin R. Coombes <krc@silicovore.com>

Diff between TailRank versions 3.1.3 dated 2017-07-11 and 3.2.0 dated 2018-02-14

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Package eyetrackingR updated to version 0.1.7 with previous version 0.1.6 dated 2016-03-17

Title: Eye-Tracking Data Analysis
Description: A set of tools that address tasks along the pipeline from raw data to analysis and visualization for eye-tracking data. Offers several popular types of analyses, including linear and growth curve time analyses, onset-contingent reaction time analyses, as well as several non-parametric bootstrapping approaches.
Author: Jacob Dink [aut, cre], Brock Ferguson [aut]
Maintainer: Jacob Dink <jacobwdink@gmail.com>

Diff between eyetrackingR versions 0.1.6 dated 2016-03-17 and 0.1.7 dated 2018-02-14

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 eyetrackingR-0.1.7/eyetrackingR/R/time_cluster_data.R                            |    4 
 eyetrackingR-0.1.7/eyetrackingR/R/time_sequence_data.R                           |   12 
 eyetrackingR-0.1.7/eyetrackingR/R/time_spline_data.R                             |    4 
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 78 files changed, 704 insertions(+), 1110 deletions(-)

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New package RSDA with initial version 2.0.3
Package: RSDA
Type: Package
Title: R to Symbolic Data Analysis
Version: 2.0.3
Date: 2018-02-14
Author: Oldemar Rodriguez R. with contributions from Carlos Aguero, Olger Calderon, Roberto Zuniga and Jorge Arce
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>
Description: Symbolic Data Analysis (SDA) was proposed by professor Edwin Diday in 1987, the main purpose of SDA is to substitute the set of rows (cases) in the data table for a concept (second order statistical unit). This package implements, to the symbolic case, certain techniques of automatic classification, as well as some linear models.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.4)
Imports: RJSONIO, glmnet, abind, scatterplot3d, graphics, stats, utils, FactoMineR (>= 1.36), XML, scales, ggplot2, princurve, sqldf, dplyr (>= 0.7.1), tidyr, stringr, lazyeval, nloptr (>= 1.0.4) ,xtable,pander, rlang(>= 0.1.1), RColorBrewer
URL: http://www.oldemarrodriguez.com
Suggests: testthat
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-02-14 19:51:42 UTC; promidat04
Repository: CRAN
Date/Publication: 2018-02-14 21:08:33 UTC

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New package tidyLPA with initial version 0.1.1
Type: Package
Package: tidyLPA
Title: Easily Carry Out Latent Profile Analysis
Version: 0.1.1
Authors@R: c( person(c("Joshua", "M"), "Rosenberg", role = c("aut", "cre"), email = "jmichaelrosenberg@gmail.com"), person(c("Jennifer", "A"), "Schmidt", role = "ctb", email = "jaschmid@msu.edu"), person(c("Patrick", "N"), "Beymer", role = "ctb", email = "beymerpa@msu.edu"), person(c("Rebecca", "R"), "Steingut", role = "ctb", email = "rebeccarosesteingut@gmail.com") )
Description: An interface to the 'mclust' package to easily carry out latent profile analysis ("LPA"). Provides functionality to estimate commonly-specified models. Follows a tidy approach, in that output is in the form of a data frame that can subsequently be computed on. Also has functions to interface to the commercial 'MPlus' software via the 'MplusAutomation' package.
License: MIT + file LICENSE
Depends: R (>= 2.10)
Imports: dplyr, forcats, ggplot2, magrittr, mclust, purrr, readr, rlang, stringr, tibble, tidyr
Suggests: covr, devtools, knitr, MplusAutomation, rmarkdown, roxygen2, testthat,
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-02-14 17:23:05 UTC; joshuarosenberg
Author: Joshua M Rosenberg [aut, cre], Jennifer A Schmidt [ctb], Patrick N Beymer [ctb], Rebecca R Steingut [ctb]
Maintainer: Joshua M Rosenberg <jmichaelrosenberg@gmail.com>
Repository: CRAN
Date/Publication: 2018-02-14 19:07:56 UTC

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New package stpp with initial version 2.0-3
Package: stpp
Version: 2.0-3
Title: Space-Time Point Pattern Simulation, Visualisation and Analysis
Date: 2018-01-14
Authors@R: c(person("Edith", "Gabriel", role=c("aut","cre"),email="edith.gabriel@univ-avignon.fr"), person("Peter J","Diggle",role="aut",email="p.diggle@lancaster.ac.uk"), person("Barry","Rowlingson",role="aut",email="b.rowlingson@lancaster.ac.uk"), person("Francisco J","Rodriguez-Cortes",role="aut", email="cortesf@uji.es"))
Maintainer: Edith Gabriel <edith.gabriel@univ-avignon.fr>
Depends: R (>= 3.3.0), grDevices, graphics, rpanel, splancs
Imports: KernSmooth, ggplot2, gridExtra, plot3D, rgl, spatstat
Suggests: knitr(>= 1.11), rmarkdown(>= 0.8.1)
Description: Many of the models encountered in applications of point process methods to the study of spatio-temporal phenomena are covered in 'stpp'. This package provides statistical tools for analyzing the global and local second-order properties of spatio-temporal point processes, including estimators of the space-time inhomogeneous K-function and pair correlation function. It also includes tools to get static and dynamic display of spatio-temporal point patterns. See Gabriel et al (2013) <doi:10.18637/jss.v053.i02>.
License: GPL-3
LazyLoad: yes
NeedsCompilation: yes
RoxygenNote: 6.0.1
BuildVignettes: True
VignetteBuilder: knitr
BugReports: https://github.com/stpp-GitHub-community
Packaged: 2018-02-14 01:43:24 UTC; frajaroco
Author: Edith Gabriel [aut, cre], Peter J Diggle [aut], Barry Rowlingson [aut], Francisco J Rodriguez-Cortes [aut]
Repository: CRAN
Date/Publication: 2018-02-14 19:02:33 UTC

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New package ssrm.logmer with initial version 0.1
Package: ssrm.logmer
Title: Sample Size Determination for Longitudinal Designs with Binary Outcome
Version: 0.1
Authors@R: person("Kush", "Kapur", email = "kush.kapur@childrens.harvard.edu", role = c("aut", "cre"))
Description: Provides the necessary sample size for a longitudinal study with binary outcome in order to attain a pre-specified power while strictly maintaining the Type I error rate. Kapur K, Bhaumik R, Tang XC, Hur K, Reda DJ, Bhaumik D (2014) <doi:10.1002/sim.6203>.
Depends: R (>= 3.4.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Maintainer: Kush Kapur <kush.kapur@childrens.harvard.edu>
Imports: statmod, stats, sfsmisc
Suggests: knitr, rmarkdown
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-02-14 17:48:22 UTC; CH164375
Author: Kush Kapur [aut, cre]
Repository: CRAN
Date/Publication: 2018-02-14 19:18:30 UTC

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Package Seurat updated to version 2.2.1 with previous version 2.2.0 dated 2018-01-10

Title: Tools for Single Cell Genomics
Description: A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, and Butler A and Satija R (2017) <doi:10.1101/164889> for more details.
Author: Rahul Satija [aut], Andrew Butler [aut], Paul Hoffman [aut, cre], Jeff Farrell [ctb], Shiwei Zheng [ctb], Christoph Hafemeister [ctb], Patrick Roelli [ctb]
Maintainer: Paul Hoffman <seuratpackage@gmail.com>

Diff between Seurat versions 2.2.0 dated 2018-01-10 and 2.2.1 dated 2018-02-14

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Package histry updated to version 0.1.2 with previous version 0.1.1 dated 2018-02-11

Title: Enhanced Command History Tracking for R Sessions and Dynamic Documents
Description: Automatically tracks and makes programmatically available code evaluation history in R sessions and dynamic documents.
Author: Gabriel Becker [aut, cre]
Maintainer: Gabriel Becker <becker.gabriel@gene.com>

Diff between histry versions 0.1.1 dated 2018-02-11 and 0.1.2 dated 2018-02-14

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New package serrsBayes with initial version 0.3-10
Package: serrsBayes
Type: Package
Title: Bayesian Modelling of Raman Spectroscopy
Version: 0.3-10
Date: 2018-02-14
Authors@R: c( person("Matt", "Moores", role = c("aut", "cre"), email = "M.T.Moores@warwick.ac.uk", comment = c(ORCID = "0000-0003-4531-3572")), person("Jake", "Carson", role="aut", email="Jake.Carson@warwick.ac.uk"), person("Mark", "Girolami", role="aut", email="M.Girolami@warwick.ac.uk"), person("Engineering and Physical Sciences Research Council", role="fnd", comment="EPSRC programme grant ref: EP/L014165/1"), person("University of Warwick", role="cph"))
Description: Sequential Monte Carlo (SMC) algorithms for fitting a generalised additive mixed model (GAMM) to surface-enhanced resonance Raman spectroscopy (SERRS), using the method of Moores et al. (2016) <arXiv:1604.07299>. Multivariate observations of SERRS are highly collinear and lend themselves to a reduced-rank representation. The GAMM separates the SERRS signal into three components: a sequence of Lorentzian, Gaussian, or pseudo-Voigt peaks; a smoothly-varying baseline; and additive white noise. The parameters of each component of the model are estimated iteratively using SMC. The posterior distributions of the parameters given the observed spectra are represented as a population of weighted particles.
License: GPL (>= 2) | file LICENSE
URL: https://github.com/mooresm/serrsBayes
BugReports: https://github.com/mooresm/serrsBayes/issues
Depends: R (>= 3.1.0), Matrix, truncnorm, splines, MASS
Imports: Rcpp (>= 0.11.3), methods
LinkingTo: Rcpp, RcppEigen
Suggests: hyperSpec, testthat
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-02-14 12:03:27 UTC; matt
Author: Matt Moores [aut, cre] (<https://orcid.org/0000-0003-4531-3572>), Jake Carson [aut], Mark Girolami [aut], Engineering and Physical Sciences Research Council [fnd] (EPSRC programme grant ref: EP/L014165/1), University of Warwick [cph]
Maintainer: Matt Moores <M.T.Moores@warwick.ac.uk>
Repository: CRAN
Date/Publication: 2018-02-14 18:46:02 UTC

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Package MDMR updated to version 0.5.1 with previous version 0.5.0 dated 2017-03-15

Title: Multivariate Distance Matrix Regression
Description: Allows users to conduct multivariate distance matrix regression using analytic p-values and compute measures of effect size. For details on the method, see McArtor, Lubke, & Bergeman (2017) <doi:10.1007/s11336-016-9527-8>.
Author: Daniel B. McArtor (dmcartor@gmail.com) [aut, cre]
Maintainer: Daniel B. McArtor <dmcartor@gmail.com>

Diff between MDMR versions 0.5.0 dated 2017-03-15 and 0.5.1 dated 2018-02-14

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Package healthcareai updated to version 1.2.4 with previous version 1.2.3 dated 2017-12-22

Title: Tools for Healthcare Machine Learning
Description: A machine learning toolbox tailored to healthcare data. Aids in data cleaning, model development, hyperparameter tuning, and model deployment in a production 'SQL' environment. Algorithms currently supported are Lasso, Random Forest, Extreme Gradient Boosting, K-means clustering, and Linear Mixed Modeling.
Author: Levi Thatcher [aut], Michael Levy [aut, cre], Mike Mastanduno [aut], Taylor Larsen [aut], Taylor Miller [aut]
Maintainer: Michael Levy <michael.levy@healthcatalyst.com>

Diff between healthcareai versions 1.2.3 dated 2017-12-22 and 1.2.4 dated 2018-02-14

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 7 files changed, 13 insertions(+), 37 deletions(-)

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New package cgmanalysis with initial version 1.3
Package: cgmanalysis
Title: Clean and Analyze Continuous Glucose Monitor Data
Version: 1.3
Authors@R: person("Tim", "Vigers", email = "tim.b.vigers@gmail.com", role = c("aut", "cre"))
Description: This code provides several different functions for cleaning and analyzing continuous glucose monitor data. Currently it works with 'Dexcom' (<https://www.dexcom.com>) or 'iPro 2' (<http://professional.medtronicdiabetes.com/ipro2-professional-cgm>) data. The makecsv() function can convert files to CSV if they have been saved as 'Excel' documents. The cleaniprodata() and cleandexcomdata() functions take a directory of CGM data files and clean them for analysis. Finally, cgmvariables() iterates through a directory of cleaned CGM data files and produces a single spreadsheet with data for each file. This spreadsheet is compatible with REDCap data upload ("--1" is added to each subject ID automatically for double data entry).
Depends: R (>= 3.4.0), gdata, zoo, pracma
License: CC0
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports:
NeedsCompilation: no
Packaged: 2018-02-14 15:40:01 UTC; timvigers
Author: Tim Vigers [aut, cre]
Maintainer: Tim Vigers <tim.b.vigers@gmail.com>
Repository: CRAN
Date/Publication: 2018-02-14 18:58:37 UTC

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Package svars updated to version 1.1.1 with previous version 1.1.0 dated 2018-01-16

Title: Data-Driven Identification of SVAR Models
Description: Implements data-driven identification methods for structural vector autoregressive (SVAR) models. Based on an existing VAR model object (provided by e.g. VAR() from the 'vars' package), the structural impact matrix is obtained via data-driven identification techniques (i.e. changes in volatility (Rigobon, R. (2003) <doi:10.1162/003465303772815727>), least dependent innovations (Herwartz, H., Ploedt, M., (2016) <doi:10.1016/j.jimonfin.2015.11.001>) or non-Gaussian maximum likelihood (Lanne, M., Meitz, M., Saikkonen, P. (2017) <doi:10.1016/j.jeconom.2016.06.002>).
Author: Alexander Lange [aut, cre], Bernhard Dalheimer [aut], Helmut Herwartz [aut], Simone Maxand [aut], Hannes Riebl [ctb]
Maintainer: Alexander Lange <alexander.lange@uni-goettingen.de>

Diff between svars versions 1.1.0 dated 2018-01-16 and 1.1.1 dated 2018-02-14

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Package spTest updated to version 0.2.5 with previous version 0.2.4 dated 2016-05-12

Title: Nonparametric Hypothesis Tests of Isotropy and Symmetry
Description: Implements nonparametric hypothesis tests to check isotropy and symmetry properties for two-dimensional spatial data.
Author: Zachary Weller [aut, cre]
Maintainer: Zachary Weller <wellerz@stat.colostate.edu>

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New package hR with initial version 0.1.1
Package: hR
Type: Package
Title: An HR Analytics Toolkit
Version: 0.1.1
Author: Dale Kube [aut, cre]
Authors@R: person("Dale","Kube",email="dkube@uwalumni.com",role=c("aut","cre"))
Maintainer: Dale Kube <dkube@uwalumni.com>
Description: Manipulate and visualize people data in meaningful and common ways. This package is meant for Human Resources analytics (often referred to as talent analytics or people analytics).
Encoding: UTF-8
License: GPL
LazyData: true
RoxygenNote: 6.0.1
Imports: data.tree, reshape2, visNetwork
NeedsCompilation: no
Packaged: 2018-02-14 03:14:05 UTC; Dale
Repository: CRAN
Date/Publication: 2018-02-14 16:59:01 UTC

More information about hR at CRAN
Permanent link

Package TurtleGraphics updated to version 1.0-8 with previous version 1.0-7 dated 2017-10-23

Title: Turtle Graphics
Description: An implementation of turtle graphics <http://en.wikipedia.org/wiki/Turtle_graphics>. Turtle graphics comes from Papert's language Logo and has been used to teach concepts of computer programming.
Author: Anna Cena [aut], Marek Gagolewski [aut], Barbara Zogala-Siudem [aut, cre], Marcin Kosinski [aut], Natalia Potocka [aut]
Maintainer: Barbara Zogala-Siudem <zogala@rexamine.com>

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Package rsdmx updated to version 0.5-11 with previous version 0.5-10 dated 2017-11-01

Title: Tools for Reading SDMX Data and Metadata
Description: Set of classes and methods to read data and metadata documents exchanged through the Statistical Data and Metadata Exchange (SDMX) framework, currently focusing on the SDMX XML standard format (SDMX-ML).
Author: Emmanuel Blondel [aut, cre], Matthieu Stigler [ctb], Eric Persson [ctb]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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Package RJSDMX updated to version 1.9-3 with previous version 1.7 dated 2017-03-12

Title: R Interface to SDMX Web Services
Description: Provides functions to retrieve data and metadata from providers that disseminate data by means of SDMX web services. SDMX (Statistical Data and Metadata eXchange) is a standard that has been developed with the aim of simplifying the exchange of statistical information. More about the SDMX standard and the SDMX Web Services can be found at: <http://sdmx.org>.
Author: Attilio Mattiocco, Diana Nicoletti, Gianpaolo Lopez, Banca d'Italia
Maintainer: Attilio Mattiocco <attilio.mattiocco@bancaditalia.it>

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Package reticulate updated to version 1.5 with previous version 1.4 dated 2018-01-09

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

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Package REBayes updated to version 1.3 with previous version 1.2 dated 2017-12-17

Title: Empirical Bayes Estimation and Inference
Description: Kiefer-Wolfowitz maximum likelihood estimation for mixture models and some other density estimation and regression methods based on convex optimization. See Koenker and Gu (2017) REBayes: An R Package for Empirical Bayes Mixture Methods, Journal of Statistical Software, 82, 1--26, <DOI:10.18637/jss.v082.i08>.
Author: Roger Koenker [aut, cre], Jiaying Gu [ctb], Ivan Mizera [ctb]
Maintainer: Roger Koenker <rkoenker@uiuc.edu>

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Package Rdpack updated to version 0.5-5 with previous version 0.5-3 dated 2018-01-27

Title: Update and Manipulate Rd Documentation Objects
Description: Functions for manipulation of Rd objects, including function reprompt() for updating existing Rd documentation for functions, methods and classes; function rebib() for import of references from 'bibtex' files; a macro for importing 'bibtex' references which can be used in Rd files and 'roxygen2' comments; and other convenience functions for references.
Author: Georgi N. Boshnakov [aut, cre], Duncan Murdoch [ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package PPtreeViz updated to version 2.0.3 with previous version 2.0.1 dated 2016-12-19

Title: Projection Pursuit Classification Tree Visualization
Description: Tools for exploring projection pursuit classification tree using various projection pursuit indexes.
Author: Eun-Kyung Lee
Maintainer: Eun-Kyung Lee <lee.eunk@gmail.com>

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Package permuco updated to version 1.0.1 with previous version 1.0.0 dated 2018-01-10

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>

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Package mplot updated to version 1.0.1 with previous version 0.8.2 dated 2018-01-05

Title: Graphical Model Stability and Variable Selection Procedures
Description: Model stability and variable inclusion plots [Mueller and Welsh (2010, <doi:10.1111/j.1751-5823.2010.00108.x>); Murray, Heritier and Mueller (2013, <doi:10.1002/sim.5855>)] as well as the adaptive fence [Jiang et al. (2008, <doi:10.1214/07-AOS517>); Jiang et al. (2009, <doi:10.1016/j.spl.2008.10.014>)] for linear and generalised linear models.
Author: Garth Tarr [aut, cre], Samuel Mueller [aut], Alan H Welsh [aut]
Maintainer: Garth Tarr <garth.tarr@gmail.com>

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Package monitoR updated to version 1.0.7 with previous version 1.0.5 dated 2017-02-17

Title: Acoustic Template Detection in R
Description: Acoustic template detection and monitoring database interface. Create, modify, save, and use templates for detection of animal vocalizations. View, verify, and extract results. Upload a MySQL schema to a existing instance, manage survey metadata, write and read templates and detections locally or to the database.
Author: Sasha D. Hafner <sdh11@cornell.edu> and Jon Katz <jonkatz4@gmail.com>, with code for the Fourier transform from the seewave package (by Jerome Sueur, Thierry Aubin, and Caroline Simonis), and code for the readMP3 function from the tuneR package (by Uwe Ligges). Therese Donovan provided creative direction and database design support.
Maintainer: Sasha D. Hafner <sdh11@cornell.edu>

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Package FuzzyNumbers updated to version 0.4-2 with previous version 0.4-1 dated 2015-02-26

Title: Tools to Deal with Fuzzy Numbers
Description: S4 classes and methods to deal with fuzzy numbers. They allow for computing any arithmetic operations (e.g., by using the Zadeh extension principle), performing approximation of arbitrary FNs by trapezoidal and piecewise linear FNs, preparing plots of FNs for publications, computing possibility and necessity values for comparisons, etc.
Author: Marek Gagolewski [aut, cre], Jan Caha [ctb]
Maintainer: Marek Gagolewski <gagolews@rexamine.com>

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Package fda.usc updated to version 1.4.0 with previous version 1.3.0 dated 2016-11-14

Title: Functional Data Analysis and Utilities for Statistical Computing
Description: Routines for exploratory and descriptive analysis of functional data such as depth measurements, atypical curves detection, regression models, supervised classification, unsupervised classification and functional analysis of variance.
Author: Manuel Febrero Bande [aut], Manuel Oviedo de la Fuente [aut, cre], Pedro Galeano [ctb], Alicia Nieto [ctb], Eduardo Garcia-Portugues [ctb]
Maintainer: Manuel Oviedo de la Fuente <manuel.oviedo@usc.es>

Diff between fda.usc versions 1.3.0 dated 2016-11-14 and 1.4.0 dated 2018-02-14

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Package EMMIXcskew updated to version 0.9-5 with previous version 0.9-4 dated 2017-02-08

Title: Fitting Mixtures of CFUST Distributions
Description: Functions to fit finite mixture of multivariate canonical fundamental skew t (FM-CFUST) distributions, random sample generation, 2D and 3D contour plots. See Lee and McLachlan (2017) <doi:10.18637/jss.v083.i03> for more information and examples.
Author: Sharon X. Lee [aut, cre], Geoffrey J. McLachlan [aut]
Maintainer: Sharon X. Lee <s.lee11@uq.edu.au>

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New package CorrectedFDR with initial version 1.0
Package: CorrectedFDR
Type: Package
Title: Correcting False Discovery Rates
Version: 1.0
Date: 2018-02-08
Author: Abbas Rahal, Anna Akpawu, Justin Chitpin and David R. Bickel
Maintainer: Abbas Rahal <arahal@uOttawa.ca>
Description: There are many estimators of false discovery rate. In this package we compute the Nonlocal False Discovery Rate (NFDR) and the estimators of local false discovery rate: Corrected False discovery Rate (CFDR), Re-ranked False Discovery rate (RFDR) and the blended estimator. Bickel, D. R. (2016) <http://hdl.handle.net/10393/34277>.
Depends: R(>= 2.14.2)
Suggests: LFDR.MLE, LFDREmpiricalBayes, ProData
biocViews: Bayesian Statistics, MathematicalBiology
URL: https://davidbickel.com
License: LGPL-3
NeedsCompilation: no
Packaged: 2018-02-14 03:02:42 UTC; Rahal
Repository: CRAN
Date/Publication: 2018-02-14 16:56:05 UTC

More information about CorrectedFDR at CRAN
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Package Chaos01 updated to version 1.1.1 with previous version 1.1.0 dated 2018-01-19

Title: 0-1 Test for Chaos
Description: Computes and visualize the results of the 0-1 test for chaos proposed by Gottwald and Melbourne (2004) <DOI:10.1137/080718851>. The algorithm is available in parallel for the independent values of parameter c. Additionally, fast RQA is added to distinguish chaos from noise.
Author: Tomas Martinovic [aut, cre]
Maintainer: Tomas Martinovic <tomas.martinovic@vsb.cz>

Diff between Chaos01 versions 1.1.0 dated 2018-01-19 and 1.1.1 dated 2018-02-14

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Package RcppParallel updated to version 4.3.20.2 with previous version 4.3.20.1 dated 2018-02-14

Title: Parallel Programming Tools for 'Rcpp'
Description: High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values.
Author: JJ Allaire [aut], Romain Francois [aut, cph], Kevin Ushey [aut, cre], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/), RStudio [cph], Intel [aut, cph] (Intel TBB library, https://www.threadingbuildingblocks.org/), Microsoft [cph]
Maintainer: ORPHANED

Diff between RcppParallel versions 4.3.20.1 dated 2018-02-14 and 4.3.20.2 dated 2018-02-14

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Package tikzDevice updated to version 0.10-1.2 with previous version 0.10-1.1 dated 2018-02-14

Title: R Graphics Output in LaTeX Format
Description: Provides a graphics output device for R that records plots in a LaTeX-friendly format. The device transforms plotting commands issued by R functions into LaTeX code blocks. When included in a LaTeX document, these blocks are interpreted with the help of 'TikZ'---a graphics package for TeX and friends written by Till Tantau. Using the 'tikzDevice', the text of R plots can contain LaTeX commands such as mathematical formula. The device also allows arbitrary LaTeX code to be inserted into the output stream.
Author: Charlie Sharpsteen [aut], Cameron Bracken [aut], Kirill Müller [ctb, cre], Yihui Xie [ctb]
Maintainer: ORPHANED

Diff between tikzDevice versions 0.10-1.1 dated 2018-02-14 and 0.10-1.2 dated 2018-02-14

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Package flexclust updated to version 1.3-5 with previous version 1.3-4 dated 2013-07-02

Title: Flexible Cluster Algorithms
Description: The main function kcca implements a general framework for k-centroids cluster analysis supporting arbitrary distance measures and centroid computation. Further cluster methods include hard competitive learning, neural gas, and QT clustering. There are numerous visualization methods for cluster results (neighborhood graphs, convex cluster hulls, barcharts of centroids, ...), and bootstrap methods for the analysis of cluster stability.
Author: Friedrich Leisch [aut, cre], Evgenia Dimitriadou [ctb]
Maintainer: Friedrich Leisch <Friedrich.Leisch@R-project.org>

Diff between flexclust versions 1.3-4 dated 2013-07-02 and 1.3-5 dated 2018-02-14

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Package tikzDevice updated to version 0.10-1.1 with previous version 0.10-1 dated 2016-02-10

Title: R Graphics Output in LaTeX Format
Description: Provides a graphics output device for R that records plots in a LaTeX-friendly format. The device transforms plotting commands issued by R functions into LaTeX code blocks. When included in a LaTeX document, these blocks are interpreted with the help of 'TikZ'---a graphics package for TeX and friends written by Till Tantau. Using the 'tikzDevice', the text of R plots can contain LaTeX commands such as mathematical formula. The device also allows arbitrary LaTeX code to be inserted into the output stream.
Author: Charlie Sharpsteen [aut], Cameron Bracken [aut], Kirill Müller [ctb, cre], Yihui Xie [ctb]
Maintainer: ORPHANED

Diff between tikzDevice versions 0.10-1 dated 2016-02-10 and 0.10-1.1 dated 2018-02-14

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Package randtoolbox updated to version 1.17.1 with previous version 1.17 dated 2015-07-30

Title: Toolbox for Pseudo and Quasi Random Number Generation and RNG Tests
Description: Provides (1) pseudo random generators - general linear congruential generators, multiple recursive generators and generalized feedback shift register (SF-Mersenne Twister algorithm and WELL generators); (2) quasi random generators - the Torus algorithm, the Sobol sequence, the Halton sequence (including the Van der Corput sequence) and (3) some RNG tests - the gap test, the serial test, the poker test. The package depends on rngWELL package but it can be provided without this dependency on demand to the maintainer. For true random number generation, use the 'random' package, for Latin Hypercube Sampling (a hybrid QMC method), use the 'lhs' package. A number of RNGs and tests for RNGs are also provided by 'RDieHarder', all available on CRAN. There is also a small stand-alone package 'rngwell19937' for the WELL19937a RNG.
Author: R port by Yohan Chalabi, Christophe Dutang, Petr Savicky and Diethelm Wuertz with underlying C codes of (i) the SFMT algorithm from M. Matsumoto and M. Saito, (ii) the Knuth-TAOCP RNG from D. Knuth.
Maintainer: ORPHANED

Diff between randtoolbox versions 1.17 dated 2015-07-30 and 1.17.1 dated 2018-02-14

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Package HRM updated to version 0.8.0 with previous version 0.7.4 dated 2017-10-27

Title: High-Dimensional Repeated Measures
Description: Methods for testing main and interaction effects in possibly high-dimensional repeated measures in factorial designs. The observations of the subjects are assumed to be multivariate normal. It is possible to use up to 2 whole- and 3 subplot factors.
Author: Martin Happ [aut, cre], Harrar W. Solomon [aut], Arne C. Bathke [aut]
Maintainer: Martin Happ <martin.happ@aon.at>

Diff between HRM versions 0.7.4 dated 2017-10-27 and 0.8.0 dated 2018-02-14

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Package RcppParallel updated to version 4.3.20.1 with previous version 4.3.20 dated 2016-08-16

Title: Parallel Programming Tools for 'Rcpp'
Description: High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values.
Author: JJ Allaire [aut], Romain Francois [aut, cph], Kevin Ushey [aut, cre], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/), RStudio [cph], Intel [aut, cph] (Intel TBB library, https://www.threadingbuildingblocks.org/), Microsoft [cph]
Maintainer: ORPHANED

Diff between RcppParallel versions 4.3.20 dated 2016-08-16 and 4.3.20.1 dated 2018-02-14

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Package RcppMovStat (with last version 1.0.2) was removed from CRAN

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

2018-01-30 1.0.2

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