Sun, 23 Apr 2017

Package SparseM updated to version 1.77 with previous version 1.76 dated 2017-03-12

Title: Sparse Linear Algebra
Description: Some basic linear algebra functionality for sparse matrices is provided: including Cholesky decomposition and backsolving as well as standard R subsetting and Kronecker products.
Author: Roger Koenker <rkoenker@uiuc.edu> and Pin Ng <Pin.Ng@NAU.EDU>
Maintainer: Roger Koenker <rkoenker@uiuc.edu>

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Package PSF updated to version 0.4 with previous version 0.3 dated 2016-08-19

Title: Forecasting of Univariate Time Series Using the Pattern Sequence-Based Forecasting (PSF) Algorithm
Description: Pattern Sequence Based Forecasting (PSF) takes univariate time series data as input and assist to forecast its future values. This algorithm forecasts the behavior of time series based on similarity of pattern sequences. Initially, clustering is done with the labeling of samples from database. The labels associated with samples are then used for forecasting the future behaviour of time series data. The further technical details and references regarding PSF are discussed in Vignette.
Author: Neeraj Bokde, Gualberto Asencio-Cortes and Francisco Martinez-Alvarez
Maintainer: Neeraj Bokde <neerajdhanraj@gmail.com>

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New package welchADF with initial version 0.1
Package: welchADF
Title: Welch-James Statistic for Robust Hypothesis Testing under Heterocedasticity and Non-Normality
Description: Implementation of Johansen's general formulation of Welch-James's statistic with Approximate Degrees of Freedom, which makes it suitable for testing any linear hypothesis concerning cell means in univariate and multivariate mixed model designs when the data pose non-normality and non-homogeneous variance. Some improvements, namely trimmed means and Winsorized variances, and bootstrapping for calculating an empirical critical value, have been added to the classical formulation. The code departs from a previous SAS implementation by L.M. Lix and H.J. Keselman, available at <http://homepage.usask.ca/~lml321/Program.pdf> and published in Keselman, H.J., Wilcox, R.R., and Lix, L.M. (2003) <DOI:10.1111/1469-8986.00060>.
Version: 0.1
Date: 2017-04-23
Author: Pablo J. Villacorta <pjvi@decsai.ugr.es>
Maintainer: Pablo J. Villacorta <pjvi@decsai.ugr.es>
License: LGPL (>= 3)
URL: <http://decsai.ugr.es/~pjvi/r-packages.html>
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-04-23 16:37:45 UTC; AsusPC
Repository: CRAN
Date/Publication: 2017-04-23 16:50:32 UTC

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New package sidrar with initial version 0.1.1
Package: sidrar
Type: Package
Title: An Interface to IBGE's SIDRA API
Version: 0.1.1
Authors@R: person("Renato", "Prado Siqueira", email = "rpradosiqueira@gmail.com", role = c("aut", "cre"))
Description: Allows the user to connect with IBGE's (Instituto Brasileiro de Geografia e Estatistica, see <http://www.ibge.gov.br/> for more information) SIDRA API in a flexible way. SIDRA is the acronym to "Sistema IBGE de Recuperacao Automatica" and is the system where IBGE turns available aggregate data from their researches.
Depends: R (>= 3.2.0)
License: GPL-3
Encoding: UTF-8
URL: http://github.com/rpradosiqueira/sidrar
BugReports: http://github.com/rpradosiqueira/sidrar/issues
Imports: dplyr, magrittr, RCurl, rjson, rvest, stringr, xml2
RoxygenNote: 6.0.1
Suggests: knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-04-23 15:25:48 UTC; Renato
Author: Renato Prado Siqueira [aut, cre]
Maintainer: Renato Prado Siqueira <rpradosiqueira@gmail.com>
Repository: CRAN
Date/Publication: 2017-04-23 16:43:01 UTC

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Package imputeTS updated to version 2.2 with previous version 2.1 dated 2017-04-18

Title: Time Series Missing Value Imputation
Description: Imputation (replacement) of missing values in univariate time series.
Author: Steffen Moritz
Maintainer: Steffen Moritz <steffen.moritz10@gmail.com>

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Package autothresholdr updated to version 0.4.0 with previous version 0.2.0 dated 2017-02-24

Title: An R Port of the 'ImageJ' Plugin 'Auto Threshold'
Description: Provides the 'ImageJ' 'Auto Threshold' plugin functionality to R users. See <http://imagej.net/Auto_Threshold> and Landini et al. (2017) <DOI:10.1111/jmi.12474>.
Author: Rory Nolan [aut, cre, trl], Luis Alvarez [ctb], Sergi Padilla-Parra [ctb, ths], Gabriel Landini [ctb, cph]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package idem updated to version 2.0 with previous version 1.0 dated 2016-07-05

Title: Inference in Randomized Controlled Trials with Death and Missingness
Description: In randomized studies involving severely ill patients, functional outcomes are often unobserved due to missed clinic visits, premature withdrawal or death. It is well known that if these unobserved functional outcomes are not handled properly, biased treatment comparisons can be produced. In this package, we implement a procedure for comparing treatments that is based on the composite endpoint of both the functional outcome and survival. The procedure was proposed in Wang et al. (2016) <doi:10.1111/biom.12594>. It considers missing data imputation with a sensitivity analysis strategy to handle the unobserved functional outcomes not due to death.
Author: Chenguang Wang [aut, cre], Andrew Leroux [aut, cre], Elizabeth Colantuoni [aut], Daniel O Scharfstein [aut], Trustees of Columbia University [cph] (tools/make_cpp.R, R/stanmodels.R)
Maintainer: Chenguang Wang <cwang68@jhmi.edu>

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Package unpivotr updated to version 0.1.1 with previous version 0.1.0 dated 2017-01-31

Title: Unpivot Complex and Irregular Data Layouts
Description: Tools for converting data from complex or irregular layouts to a columnar structure. For example, tables with multilevel column or row headers, or spreadsheets. Header and data cells are selected by their contents and position, as well as formatting and comments where available, and are associated with one other by their proximity in given directions.
Author: Duncan Garmonsway [aut, cre]
Maintainer: Duncan Garmonsway <nacnudus@gmail.com>

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Package startupmsg updated to version 0.9.4 with previous version 0.9.3 dated 2016-04-23

Title: Utilities for Start-Up Messages
Description: Provides utilities to create or suppress start-up messages.
Author: Peter Ruckdeschel [cre, cph, aut]
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>

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Package ROptEst updated to version 1.0.1 with previous version 1.0 dated 2016-09-05

Title: Optimally Robust Estimation
Description: Optimally robust estimation in general smoothly parameterized models using S4 classes and methods.
Author: Matthias Kohl [cre, cph], Mykhailo Pupashenko [ctb] (contributed wrapper functions for diagnostic plots), Gerald Kroisandt [ctb] (contributed testing routines), Peter Ruckdeschel [aut, cph]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

Diff between ROptEst versions 1.0 dated 2016-09-05 and 1.0.1 dated 2017-04-23

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Package RobAStBase updated to version 1.0.1 with previous version 1.0 dated 2016-09-05

Title: Robust Asymptotic Statistics
Description: Base S4-classes and functions for robust asymptotic statistics.
Author: Matthias Kohl [cre, cph, aut], Peter Ruckdeschel [aut, cph], Mykhailo Pupashenko [ctb] (contributed wrapper functions for diagnostic plots), Gerald Kroisandt [ctb] (contributed testing routines), R Core Team [ctb, cph] (for source file 'format.perc')
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

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Package RandVar updated to version 1.0.1 with previous version 1.0 dated 2016-04-25

Title: Implementation of Random Variables
Description: Implements random variables by means of S4 classes and methods.
Author: Matthias Kohl [cre, cph, aut], Peter Ruckdeschel [aut, cph]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

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Package npROCRegression updated to version 1.0-5 with previous version 1.0-4 dated 2016-11-15

Title: Kernel-Based Nonparametric ROC Regression Modelling
Description: Implements several nonparametric regression approaches for the inclusion of covariate information on the receiver operating characteristic (ROC) framework.
Author: Maria Xose Rodriguez-Alvarez [aut, cre], Javier Roca-Pardinas [aut]
Maintainer: Maria Xose Rodriguez-Alvarez <mxrodriguez@bcamath.org>

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Package MonteCarlo updated to version 1.0.2 with previous version 1.0.1 dated 2017-04-07

Title: Automatic Parallelized Monte Carlo Simulations
Description: Simplifies Monte Carlo simulation studies by automatically setting up loops to run over parameter grids and parallelising the Monte Carlo repetitions. It also generates LaTeX tables.
Author: Christian Hendrik Leschinski
Maintainer: Christian Hendrik Leschinski <leschinski@statistik.uni-hannover.de>

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Package GGIR updated to version 1.5-1 with previous version 1.4 dated 2017-01-22

Title: Raw Accelerometer Data Analysis
Description: A tool to process and analyse data collected with wearable raw acceleration sensors. The package has been developed and tested for binary data from GENEActiv and GENEA devices, .csv-export data from Actigraph devices, and .wav-format data from Axivity. These devices are currently widely used in research on human daily physical activity.
Author: Vincent T van Hees [aut, cre], Zhou Fang [ctb], Jing Hua Zhao [ctb], Joe Heywood [ctb], Evgeny Mirkes [ctb], Severine Sabia [ctb]
Maintainer: Vincent T van Hees <vincentvanhees@gmail.com>

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Package distrEx updated to version 2.6.1 with previous version 2.6 dated 2016-04-24

Title: Extensions of Package 'distr'
Description: Extends package 'distr' by functionals, distances, and conditional distributions.
Author: Matthias Kohl [cre, cph, aut], Peter Ruckdeschel [aut, cph]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

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Package plspm updated to version 0.4.9 with previous version 0.4.8 dated 2017-04-21

Title: Tools for Partial Least Squares Path Modeling (PLS-PM)
Description: Partial Least Squares Path Modeling (PLS-PM) analysis for both metric and non-metric data, as well as REBUS analysis.
Author: Gaston Sanchez [aut, cre], Laura Trinchera [aut], Giorgio Russolillo [aut]
Maintainer: ORPHANED

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Package beanz updated to version 2.0 with previous version 1.7.1 dated 2016-11-14

Title: Bayesian Analysis of Heterogeneous Treatment Effect
Description: It is vital to assess the heterogeneity of treatment effects (HTE) when making health care decisions for an individual patient or a group of patients. Nevertheless, it remains challenging to evaluate HTE based on information collected from clinical studies that are often designed and conducted to evaluate the efficacy of a treatment for the overall population. The Bayesian framework offers a principled and flexible approach to estimate and compare treatment effects across subgroups of patients defined by their characteristics. This package allows users to explore a wide range of Bayesian HTE analysis models, and produce posterior inferences about HTE.
Author: Chenguang Wang [aut, cre], Ravi Varadhan [aut], Trustees of Columbia University [cph] (tools/make_cpp.R, R/stanmodels.R)
Maintainer: Chenguang Wang <cwang68@jhmi.edu>

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New package nat.templatebrains with initial version 0.8.2
Package: nat.templatebrains
Type: Package
Title: NeuroAnatomy Toolbox ('nat') Extension for Handling Template Brains
Version: 0.8.2
Authors@R: c(person("Gregory", "Jefferis", , "jefferis@gmail.com", role = c("aut", "cre")), person("James", "Manton", , "ajd.manton@googlemail.com", role = c("aut")))
Description: Extends package 'nat' (NeuroAnatomy Toolbox) by providing objects and functions for handling template brains.
License: GPL-3
Depends: R (>= 2.10), rgl, nat (>= 1.8.6)
Imports: igraph, digest, rappdirs, memoise
Suggests: testthat (>= 0.10), git2r
URL: https://github.com/jefferislab/nat.templatebrains
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-04-22 17:52:37 UTC; jdm
Author: Gregory Jefferis [aut, cre], James Manton [aut]
Maintainer: Gregory Jefferis <jefferis@gmail.com>
Repository: CRAN
Date/Publication: 2017-04-22 22:24:52 UTC

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Package climextRemes updated to version 0.1.3 with previous version 0.1.2 dated 2016-08-10

Title: Tools for Analyzing Climate Extremes
Description: Functions for fitting GEV and POT (via point process fitting) models for extremes in climate data, providing return values, return probabilities, and return periods for stationary and nonstationary models. Also provides differences in return values and differences in log return probabilities for contrasts of covariate values. Functions for estimating risk ratios for event attribution analyses, including uncertainty. Under the hood, many of the functions use functions from extRemes, including for fitting the statistical models.
Author: Christopher Paciorek [aut, cre]
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

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More information about climextRemes at CRAN
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