Thu, 24 Sep 2015

New package rbiouml with initial version 1.7
Package: rbiouml
Type: Package
Title: Interact with BioUML Server
Version: 1.7
Date: 2015-09-24
Description: Functions for connecting to BioUML server, querying BioUML repository and launching BioUML analyses.
Maintainer: Ivan Yevshin <ivan@dote.ru>
Authors@R: c(person("Ivan", "Yevshin", role = c("aut", "cre"), email = "ivan@dote.ru"), person("Tagir", "Valeev", role = "aut"))
License: GPL-2
Depends: RCurl, RJSONIO
NeedsCompilation: no
Packaged: 2015-09-24 07:33:58 UTC; ivan
Author: Ivan Yevshin [aut, cre], Tagir Valeev [aut]
X-CRAN-Comment: Archived on 2015-04-03 as the site is connects to is no longer active.
Repository: CRAN
Date/Publication: 2015-09-25 00:19:01

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Package LDRTools updated to version 0.2 with previous version 0.1 dated 2014-08-08

Title: Tools for Linear Dimension Reduction
Description: Linear dimension reduction subspaces can be uniquely defined using orthogonal projection matrices. This package provides tools to compute distances between such subspaces and to compute the average subspace.
Author: Eero Liski [aut], Klaus Nordhausen [aut, cre], Hannu Oja [aut], Anne Ruiz-Gazen [aut]
Maintainer: Klaus Nordhausen <klaus.nordhausen@utu.fi>

Diff between LDRTools versions 0.1 dated 2014-08-08 and 0.2 dated 2015-09-24

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New package erp.easy with initial version 0.6.2
Package: erp.easy
Type: Package
Title: Event-Related Potential (ERP) Data Exploration Made Easy
Version: 0.6.2
Authors@R: person("Travis", "Moore", email = "travis.m.moore@vanderbilt.edu", role = c("aut", "cre"))
Description: A set of user-friendly functions to aid in organizing, plotting and analyzing event-related potential (ERP) data. Provides an easy-to-learn method to explore ERP data. Should be useful to those without a background in computer programming, and to those who are new to ERPs (or new to the more advanced ERP software available). Emphasis has been placed on highly automated processes using functions with as few arguments as possible. Expects processed (cleaned) data.
Depends: R (>= 3.2.1)
Imports: plyr (>= 1.8.3)
License: GPL-3
LazyData: TRUE
NeedsCompilation: no
Packaged: 2015-09-24 14:13:45 UTC; Travis
Author: Travis Moore [aut, cre]
Maintainer: Travis Moore <travis.m.moore@vanderbilt.edu>
Repository: CRAN
Date/Publication: 2015-09-25 00:43:58

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Package ecoreg updated to version 0.2.1 with previous version 0.2 dated 2010-08-25

Title: Ecological Regression using Aggregate and Individual Data
Description: Estimating individual-level covariate-outcome associations using aggregate data ("ecological inference") or a combination of aggregate and individual-level data ("hierarchical related regression").
Author: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>

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Package dunn.test updated to version 1.3.0 with previous version 1.2.4 dated 2015-04-28

Title: Dunn's Test of Multiple Comparisons Using Rank Sums
Description: Computes Dunn's test (1964) for stochastic dominance and reports the results among multiple pairwise comparisons after a Kruskal-Wallis test for stochastic dominance among k groups (Kruskal and Wallis, 1952). The interpretation of stochastic dominance requires an assumption that the CDF of one group does not cross the CDF of the other. 'dunn.test' makes k(k-1)/2 multiple pairwise comparisons based on Dunn's z-test-statistic approximations to the actual rank statistics. The null hypothesis for each pairwise comparison is that the probability of observing a randomly selected value from the first group that is larger than a randomly selected value from the second group equals one half; this null hypothesis corresponds to that of the Wilcoxon-Mann-Whitney rank-sum test. Like the rank-sum test, if the data can be assumed to be continuous, and the distributions are assumed identical except for a difference in location, Dunn's test may be understood as a test for median difference. 'dunn.test' accounts for tied ranks.
Author: Alexis Dinno <alexis.dinno@pdx.edu>
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>

Diff between dunn.test versions 1.2.4 dated 2015-04-28 and 1.3.0 dated 2015-09-24

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Package drsmooth updated to version 1.9.0 with previous version 1.0 dated 2013-12-05

Title: Dose-Response Modeling with Smoothing Splines
Description: Provides tools for assessing the shape of a dose-response curve by testing linearity and non-linearity at user-defined cut-offs. It also provides two methods of estimating a threshold dose, or the dose at which the dose-response function transitions to significantly increasing: bi-linear (based on pkg 'segmented') and smoothed with splines (based on pkg 'mgcv').
Author: Greg Hixon [aut], Chad Thompson [aut], Anne Bichteler [aut, cre], Liz Abraham [ctb]
Maintainer: Anne Bichteler <abichteler@toxstrategies.com>

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Package Deriv updated to version 3.5.6 with previous version 3.5.4 dated 2015-06-09

Title: Symbolic Differentiation
Description: R-based solution for symbolic differentiation. It admits user-defined function as well as function substitution in arguments of functions to be differentiated. Some symbolic simplification is part of the work.
Author: Andrew Clausen [aut], Serguei Sokol [aut, cre]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

Diff between Deriv versions 3.5.4 dated 2015-06-09 and 3.5.6 dated 2015-09-24

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Package cycleRtools updated to version 1.0.1 with previous version 1.0.0 dated 2015-09-22

Title: Tools for Cycling Data Analysis
Description: A suite of functions for analysing cycling data.
Author: Jordan Mackie [aut, cre]
Maintainer: Jordan Mackie <jmackie@protonmail.com>

Diff between cycleRtools versions 1.0.0 dated 2015-09-22 and 1.0.1 dated 2015-09-24

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Package ConsRank updated to version 1.0.1 with previous version 1.0.0 dated 2015-09-08

Title: Compute the Median Ranking(s) According to the Kemeny's Axiomatic Approach
Description: Compute the median ranking according the Kemeny's axiomatic approach. Rankings can or cannot contain ties, rankings can be both complete or incomplete.
Author: Antonio D'Ambrosio <antdambr@unina.it>, Sonia Amodio <sonia.amodio@unina.it>
Maintainer: Antonio D'Ambrosio <antdambr@unina.it>

Diff between ConsRank versions 1.0.0 dated 2015-09-08 and 1.0.1 dated 2015-09-24

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Package asdreader updated to version 0.1-1 with previous version 0.1-0 dated 2015-09-24

Title: Reading ASD Binary Files in R
Description: A simple driver that reads spectroscopy data created using ASD instruments such as the FieldSpec in R. The spectra can be extracted from the ASD file as raw (DN), white reference, radiance, or reflectance. Additionally, the metadata information contained in the ASD file header can also be accessed.
Author: Pierre Roudier [aut, cre]
Maintainer: Pierre Roudier <roudierp@landcareresearch.co.nz>

Diff between asdreader versions 0.1-0 dated 2015-09-24 and 0.1-1 dated 2015-09-24

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Package spTest updated to version 0.2.2 with previous version 0.2.1 dated 2015-09-17

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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Package sandwich updated to version 2.3-4 with previous version 2.3-3 dated 2015-03-26

Title: Robust Covariance Matrix Estimators
Description: Model-robust standard error estimators for cross-sectional, time series, and longitudinal data.
Author: Thomas Lumley [aut], Achim Zeileis [aut, cre]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package RcppEigen updated to version 0.3.2.5.1 with previous version 0.3.2.5.0 dated 2015-07-14

Title: 'Rcpp' Integration for the 'Eigen' Templated Linear Algebra Library
Description: R and 'Eigen' integration using 'Rcpp'. 'Eigen' is a C++ template library for linear algebra: matrices, vectors, numerical solvers and related algorithms. It supports dense and sparse matrices on integer, floating point and complex numbers, decompositions of such matrices, and solutions of linear systems. Its performance on many algorithms is comparable with some of the best implementations based on 'Lapack' and level-3 'BLAS'. The 'RcppEigen' package includes the header files from the 'Eigen' C++ template library (currently version 3.2.5). Thus users do not need to install 'Eigen' itself in order to use 'RcppEigen'. Since version 3.1.1, 'Eigen' is licensed under the Mozilla Public License (version 2); earlier version were licensed under the GNU LGPL version 3 or later. 'RcppEigen' (the 'Rcpp' bindings/bridge to 'Eigen') is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Douglas Bates, Dirk Eddelbuettel and Romain Francois; the authors of Eigen for the included version of Eigen
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package mvtboost updated to version 0.3 with previous version 0.2.1 dated 2015-07-18

Title: Tree Boosting for Multivariate Outcomes
Description: Fits a multivariate model of decision trees for multiple, continuous outcome variables. A model for each outcome variable is fit separately, selecting predictors that explain that explain covariance in multiple outcomes. Package is built on top of 'gbm'.
Author: Patrick Miller [aut, cre]
Maintainer: Patrick Miller <patrick.mil10@gmail.com>

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Package MixGHD updated to version 1.8 with previous version 1.7 dated 2015-06-25

Title: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions
Description: Carries out model-based clustering, classification and discriminant analysis using five different models. The models are all based on the generalized hyperbolic distribution.The first model 'MGHD' is the classical mixture of generalized hyperbolic distributions. The 'MGHFA' is the mixture of generalized hyperbolic factor analyzers for high dimensional data sets. The 'MSGHD', mixture of multiple scaled generalized hyperbolic distributions. The 'cMSGHD' is a 'MSGHD' with convex contour plots. The 'MCGHD', mixture of coalesced generalized hyperbolic distributions is a new more flexible model.
Author: Cristina Tortora, Ryan P. Browne, Brian C. Franczak, and Paul D. McNicholas.
Maintainer: Cristina Tortora <ctortora@math.mcmaster.ca>

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Package meteo updated to version 0.1-5 with previous version 0.1-4 dated 2015-06-23

Title: Spatio-Temporal Analysis and Mapping of Meteorological Observations
Description: Spatio-temporal geostatistical mapping of meteorological data. Global spatio-temporal models calculated using publicly available data are stored in package.
Author: Milan Kilibarda, Aleksandar Sekulic, Tomislav Hengl, Edzer Pebesma, Benedikt Graeler
Maintainer: Milan Kilibarda <kili@grf.bg.ac.rs>

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Package JAGUAR updated to version 3.0.0 with previous version 2.0 dated 2015-03-02

Title: Joint Analysis of Genotype and Group-Specific Variability Using a Novel Score Test Approach to Map Expression Quantitative Trait Loci (eQTL)
Description: Implements a novel score test that measures 1) the overall shift in the gene expression due to genotype (additive genetic effect), and 2) group-specific changes in gene expression due to genotype (interaction effect) in a mixed-effects model framework.
Author: Chaitanya R. Acharya and Andrew S. Allen
Maintainer: Chaitanya Acharya <c.acharya@duke.edu>

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New package IntegratedJM with initial version 1.1
Package: IntegratedJM
Type: Package
Title: Joint Modelling of the Gene-Expression and Bioassay Data, Taking Care of the Effect Due to a Fingerprint Feature
Version: 1.1
Date: 2015-09-22
Author: Rudradev Sengupta, Nolen Joy Perualila
Maintainer: Rudradev Sengupta <rudradev.sengupta@uhasselt.be>
Description: Offers modelling the association between gene-expression and bioassay data, taking care of the effect due to a fingerprint feature and helps with several plots to better understand the analysis.
Depends: R (>= 2.15.1), Biobase
Imports: ggplot2, nlme, grid
License: GPL-3
LazyLoad: yes
Repository: CRAN
Repository/R-Forge/Project: integratedjm
Repository/R-Forge/Revision: 6
Repository/R-Forge/DateTimeStamp: 2015-09-22 10:27:51
Date/Publication: 2015-09-24 11:47:55
NeedsCompilation: no
Packaged: 2015-09-22 10:45:11 UTC; rforge

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Package hypervolume updated to version 1.4 with previous version 1.3.0 dated 2015-06-03

Title: High-Dimensional Kernel Density Estimation and Geometry Operations
Description: Estimates the shape and volume of high-dimensional datasets and performs set operations: intersection / overlap, union, unique components, inclusion test, and hole detection. Uses stochastic geometry approach to high-dimensional kernel density estimation. Builds n-dimensional convex hulls (polytopes). Can measure the n-dimensional ecological hypervolume and perform species distribution modeling.
Author: Benjamin Blonder
Maintainer: Benjamin Blonder <bblonder@gmail.com>

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Package GSE updated to version 3.2.2 with previous version 3.2.1 dated 2015-07-15

Title: Robust Estimation in the Presence of Cellwise and Casewise Contamination and Missing Data
Description: Robust Estimation of Multivariate Location and Scatter in the Presence of Cellwise and Casewise Contamination and Missing Data.
Author: Andy Leung, Mike Danilov, Victor Yohai, Ruben Zamar
Maintainer: Andy Leung <andy.leung@stat.ubc.ca>

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Package edgar updated to version 1.0.2 with previous version 1.0.1 dated 2015-08-27

Title: Platform for EDGAR Filling Management
Description: EDGAR is the Electronic Data Gathering, Analysis, and Retrieval system which performs automated collection, validation, indexing, acceptance, and forwarding of submissions by companies and others who are required by law to file forms with the U.S. Securities and Exchange Commission (SEC). This package downloads EDGAR quarterly master index, daily master index, filings from SEC.org site and do sentiment analysis of 10-K statements.
Author: Gunratan Lonare <lonare.gunratan@gmail.com>, Bharat Patil <bharatspatil@gmail.com>
Maintainer: Gunratan Lonare <lonare.gunratan@gmail.com>

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Package btergm updated to version 1.5.9 with previous version 1.5.2 dated 2015-08-05

Title: Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
Description: Temporal Exponential Random Graph Models (TERGM) estimated by maximum pseudolikelihood with bootstrapped confidence intervals or Markov Chain Monte Carlo maximum likelihood. Goodness of fit assessment for ERGMs, TERGMs, and SAOMs. Micro-level interpretation of ERGMs and TERGMs.
Author: Philip Leifeld [aut, cre], Skyler J. Cranmer [ctb], Bruce A. Desmarais [ctb]
Maintainer: Philip Leifeld <philip.leifeld@eawag.ch>

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New package cardioModel with initial version 1.0
Package: cardioModel
Title: Cardiovascular Safety Exposure-Response Modeling in Early-Phase Clinical Studies
Version: 1.0
Date: 2015-09-17
Description: Includes 100 mixed-effects model structures describing the relationship between drug concentration and QT interval, heart rate/pulse rate or blood pressure. Given an exposure-response dataset, the tool fits each model structure to the observed data.
Depends: R (>= 2.10.0)
Imports: nlme, plyr
License: GPL-3
LazyData: True
Author: Daniela J Conrado [aut, cre], William S Denney [aut], Gregory J Hather [aut], Danny Chen [ctb]
Maintainer: Daniela J Conrado <danielac@metrumrg.com>
Repository: CRAN
NeedsCompilation: no
Packaged: 2015-09-23 18:30:06 UTC; Daniela
Date/Publication: 2015-09-24 11:58:47

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Package pse updated to version 0.4.3 with previous version 0.4.2 dated 2015-07-07

Title: Parameter Space Exploration with Latin Hypercubes
Description: Functions for creating Latin Hypercubes with prescribed correlations and performing parameter space exploration. Also implements the PLUE method. Based on the package sensitivity, by Gilles Pujol, Bertrand Iooss & Alexandre Janon.
Author: Andre Chalom, Paulo Inacio Knegt Lopez de Prado
Maintainer: Andre Chalom <andrechalom@gmail.com>

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Package tsintermittent updated to version 1.8 with previous version 1.7 dated 2015-09-17

Title: Intermittent Time Series Forecasting
Description: Functions for analysing and forecasting intermittent demand/slow moving items time series.
Author: Nikolaos Kourentzes and Fotios Petropoulos
Maintainer: Nikolaos Kourentzes <n.kourentzes@lancaster.ac.uk>

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New package asdreader with initial version 0.1-0
Package: asdreader
Type: Package
Title: Reading ASD Binary Files in R
Version: 0.1-0
Date: 2015-09-24
Authors@R: person("Pierre", "Roudier", email = "roudierp@landcareresearch.co.nz", role = c("aut", "cre"))
Description: A simple driver that reads spectroscopy data created using ASD instruments such as the FieldSpec in R. The spectra can be extracted from the ASD file as raw (DN), white reference, radiance, or reflectance. Additionally, the metadata information contained in the ASD file header can also be accessed.
URL: https://github.com/pierreroudier/asdreader
BugReports: https://github.com/pierreroudier/asdreader/issues
Depends: R (>= 3.0)
License: GPL-3
LazyData: TRUE
Collate: 'get-metadata.r' 'get-spectrum.r' 'asdreader.r' 'data.r'
NeedsCompilation: no
Packaged: 2015-09-23 23:10:27 UTC; pierre
Author: Pierre Roudier [aut, cre]
Maintainer: Pierre Roudier <roudierp@landcareresearch.co.nz>
Repository: CRAN
Date/Publication: 2015-09-24 08:18:42

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