Wed, 18 May 2016

Package sjPlot updated to version 2.0.0 with previous version 1.9.4 dated 2016-03-29

Title: Data Visualization for Statistics in Social Science
Description: Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, PCA and correlation matrices, cluster analyses, scatter plots, Likert scales, effects plots of regression models (including interaction terms) and much more. This package supports labelled data.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between sjPlot versions 1.9.4 dated 2016-03-29 and 2.0.0 dated 2016-05-18

 sjPlot-1.9.4/sjPlot/tests                      |only
 sjPlot-2.0.0/sjPlot/DESCRIPTION                |   16 
 sjPlot-2.0.0/sjPlot/MD5                        |  183 -
 sjPlot-2.0.0/sjPlot/NAMESPACE                  |    5 
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 sjPlot-2.0.0/sjPlot/NEWS.md                    |   27 
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 sjPlot-2.0.0/sjPlot/R/sjPlotGLME.R             | 1639 +++++---------
 sjPlot-2.0.0/sjPlot/R/sjPlotGroupFrequencies.R |  732 ++----
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Package popdemo updated to version 0.2-3 with previous version 0.1-4 dated 2014-06-10

Title: Demographic Modelling Using Projection Matrices
Description: Tools for modelling populations and demography using matrix projection models (MPMs). Designed to build on similar tools already available in 'popbio'. Specific foci are on indices of transient dynamics and use of control theory approaches, but 'popdemo' may also be useful for other implementations of MPMs, or matrix models in a more general sense.
Author: Iain Stott <iainmstott@gmail.com>, Dave Hodgson <D.J.Hodgson@exeter.ac.uk>, Stuart Townley <S.B.Townley@exeter.ac.uk>
Maintainer: Iain Stott <iainmstott@gmail.com>

Diff between popdemo versions 0.1-4 dated 2014-06-10 and 0.2-3 dated 2016-05-18

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Package piecewiseSEM updated to version 1.1.1 with previous version 1.1 dated 2016-03-14

Title: Piecewise Structural Equation Modeling
Description: Implements piecewise structural equation models.
Author: Jon Lefcheck
Maintainer: Jon Lefcheck <jslefche@vims.edu>

Diff between piecewiseSEM versions 1.1 dated 2016-03-14 and 1.1.1 dated 2016-05-18

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Package opencpu updated to version 1.6.1 with previous version 1.6.0 dated 2016-05-10

Title: Embedded Scientific Computing and Reproducible Research with R
Description: The OpenCPU system exposes an http API for embedded scientific computing with R. The server can run either as a single-user development server within the interactive R session, or as a multi-user linux stack based on rApache and NGINX. The current R package implements the core of the system. When loaded in R, it automatically initiates the single-user server and displays the web address in the console. The OpenCPU website has more detailed API documentation.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between opencpu versions 1.6.0 dated 2016-05-10 and 1.6.1 dated 2016-05-18

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Package NCA updated to version 2.0 with previous version 1.1 dated 2015-10-10

Title: Necessary Condition Analysis
Description: Performs a Necessary Condition Analysis (NCA). (Dul, J. 2016. Necessary Condition Analysis (NCA). ''Logic and Methodology of 'Necessary but not Sufficient' causality." Organizational Research Methods 19(1), 10-52) NCA identifies necessary (but not sufficient) conditions in datasets. Instead of drawing a regression line ''through the middle of the data'' in an xy-plot, NCA draws the ceiling line. The ceiling line y = f(x) separates the area with observations from the area without observations. (Nearly) all observations are below the ceiling line: y <= f(x). The empty zone is in the upper left hand corner of the xy-plot (with the convention that the x-axis is ''horizontal'' and the y-axis is ''vertical'' and that values increase ''upwards'' and ''to the right''). The ceiling line is a (piecewise) linear non-decreasing line: a linear step function or a straight line. It indicates which level of x (e.g. an effort or input) is necessary but not sufficient for a (desired) level of y (e.g. good performance or output).
Author: Jan Dul <jdul@rsm.nl>
Maintainer: Govert Buijs <buijs@rsm.nl>

Diff between NCA versions 1.1 dated 2015-10-10 and 2.0 dated 2016-05-18

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New package inctools with initial version 1.0.3
Encoding: UTF-8
Package: inctools
Type: Package
Title: Incidence Estimation Tools
Version: 1.0.3
Date: 2016-05-18
Authors@R: c( person("Alex","Welte", email="alexwelte@sun.ac.za", role="aut"), person("Eduard","Grebe",email="eduardgrebe@sun.ac.za",role=c("cre","aut")), person("Avery","McIntosh",email="avery.i.mcintosh@gmail.com",role="aut"), person("Petra","Bäumler",email="petra.baeumler@med.uni-muenich.de",role="aut"), person("Reshma","Kassanjee", role="ctb"), person("Hilmarie","Brand", role="ctb"), person("Yuruo","Li",email="yul123@pitt.edu", role="ctb"), person("Simon","Daniel",email="skjdaniel@gmail.com", role="ctb"), person("Stefano","Ongarello", email="stefano.ongarello@finddx.org", role="ctb"), person("Yusuke","Asai", email="yusuke.asai@yahoo.de", role="ctb") )
Description: Tools for estimating incidence from biomarker data in cross- sectional surveys and for calibrating tests for recent infection.
Depends: R (>= 3.2.1)
License: GPL-3
LazyData: True
Imports: stats, utils, cubature, ggplot2, glm2, MASS, plyr, pracma, foreach
Suggests: doMC, knitr, survey
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-05-18 11:05:01 UTC; eduardgrebe
Author: Alex Welte [aut], Eduard Grebe [cre, aut], Avery McIntosh [aut], Petra Bäumler [aut], Reshma Kassanjee [ctb], Hilmarie Brand [ctb], Yuruo Li [ctb], Simon Daniel [ctb], Stefano Ongarello [ctb], Yusuke Asai [ctb]
Maintainer: Eduard Grebe <eduardgrebe@sun.ac.za>
Repository: CRAN
Date/Publication: 2016-05-18 18:22:44

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New package icesAdvice with initial version 1.1-0
Package: icesAdvice
Version: 1.1-0
Date: 2016-05-18
Title: Functions Related to ICES Advice
Authors@R: c(person("Arni", "Magnusson", role=c("aut","cre"), email="arni.magnusson@ices.dk"), person("Colin", "Millar", role="ctb"))
Author: Arni Magnusson [aut, cre], Colin Millar [ctb]
Maintainer: Arni Magnusson <arni.magnusson@ices.dk>
Imports: stats
Description: Functions that are related to the advisory work of ICES (International Council for the Exploration of the Sea).
License: GPL (>= 2)
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-18 16:39:17 UTC; arnima
Repository: CRAN
Date/Publication: 2016-05-18 19:02:50

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New package gensphere with initial version 1.0
Package: gensphere
Type: Package
Title: Generalized Spherical Distributions
Version: 1.0
Date: 2016-05-18
Author: John P Nolan
Maintainer: John P Nolan <jpnolan@american.edu>
Depends: R (>= 3.0), mvmesh, geometry, SphericalCubature, rgl, utils, grDevices, graphics
Description: Define and compute with generalized spherical distributions - multivariate probability laws that are specified by a star shaped contour (directional behavior) and a radial component.
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2016-05-18 14:03:50 UTC; John
Repository: CRAN
Date/Publication: 2016-05-18 17:28:22

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Package dMod updated to version 0.3.1 with previous version 0.1 dated 2015-06-11

Title: Dynamic Modeling and Parameter Estimation in ODE Models
Description: The framework provides functions to generate ODEs of reaction networks, parameter transformations, observation functions, residual functions, etc. The framework follows the paradigm that derivative information should be used for optimization whenever possible. Therefore, all major functions produce and can handle expressions for symbolic derivatives.
Author: Daniel Kaschek
Maintainer: Daniel Kaschek <daniel.kaschek@physik.uni-freiburg.de>

Diff between dMod versions 0.1 dated 2015-06-11 and 0.3.1 dated 2016-05-18

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New package DrBats with initial version 0.1.3
Package: DrBats
Type: Package
Title: Data Representation: Bayesian Approach That's Sparse
Version: 0.1.3
Date: 2016-05-18
Authors@R: c(person("Gabrielle", "Weinrott", email = "gabrielle.weinrott@supagro.inra.fr", role = c("aut", "cre")), person("Brigitte", "Charnomordic", email = "bch@supagro.inra.fr", role = "aut"), person("Benedicte", "Fontez", email = "benedicte.fontez@supagro.fr", role = "aut"), person("Nadine", "Hilgert", email = "nadine.hilgert@supagro.inra.fr", role = "aut"), person("Susan", "Holmes", email = "susan@stat.stanford.edu", role = "aut"))
Maintainer: Gabrielle Weinrott <gabrielle.weinrott@supagro.inra.fr>
Description: Feed longitudinal data into a Bayesian Latent Factor Model to obtain a low-rank representation. Parameters are estimated using a Hamiltonian Monte Carlo algorithm with STAN. See G. Weinrott, B. Fontez, N. Hilgert and S. Holmes, "Bayesian Latent Factor Model for Functional Data Analysis", Actes des JdS 2016.
Depends: R (>= 3.1.0)
Imports: ade4, coda, MASS, Matrix, rstan, sde
License: GPL-3
LazyData: TRUE
Suggests: fda, ggplot2, knitr, parallel, rmarkdown, testthat
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-18 14:36:29 UTC; weinrott
Author: Gabrielle Weinrott [aut, cre], Brigitte Charnomordic [aut], Benedicte Fontez [aut], Nadine Hilgert [aut], Susan Holmes [aut]
Repository: CRAN
Date/Publication: 2016-05-18 17:26:34

More information about DrBats at CRAN
Permanent link

Package DeLorean updated to version 1.2.2 with previous version 1.2.0 dated 2016-04-15

Title: Estimates Pseudotimes for Single Cell Expression Data
Description: Implements the DeLorean model to estimate pseudotimes for single cell expression data. The DeLorean model uses a Gaussian process latent variable model to model uncertainty in the capture time of cross-sectional data.
Author: John Reid <john.reid@mrc-bsu.cam.ac.uk>
Maintainer: John Reid <john.reid@mrc-bsu.cam.ac.uk>

Diff between DeLorean versions 1.2.0 dated 2016-04-15 and 1.2.2 dated 2016-05-18

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Package camtrapR updated to version 0.99.1 with previous version 0.99.0 dated 2016-04-12

Title: Camera Trap Data Management and Preparation of Occupancy and Spatial Capture-Recapture Analyses
Description: Management of and data extraction from camera trap photographs in wildlife studies. The package provides a workflow for storing and sorting camera trap photographs, computes record databases and detection/non-detection matrices for occupancy and spatial capture-recapture analyses with great flexibility. In addition, it provides simple mapping functions (number of species, number of independent species detections by station) and can visualise activity data.
Author: Juergen Niedballa [aut, cre], Alexandre Courtiol [aut], Rahel Sollmann [aut], John Mathai [ctb], Seth Timothy Wong [ctb], An The Truong Nguyen [ctb], Azlan bin Mohamed [ctb], Andrew Tilker [ctb], Andreas Wilting [ctb, ths]
Maintainer: Juergen Niedballa <niedballa@izw-berlin.de>

Diff between camtrapR versions 0.99.0 dated 2016-04-12 and 0.99.1 dated 2016-05-18

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Package BaM updated to version 1.0.1 with previous version 0.99 dated 2010-10-18

Title: Functions and Datasets for Books by Jeff Gill
Description: Functions and datasets for Jeff Gill: "Bayesian Methods: A Social and Behavioral Sciences Approach". First, Second, and Third Edition. Published by Chapman and Hall/CRC (2002, 2007, 2014).
Author: Jonathan Homola <homola@wustl.edu>, Danielle Korman, Jacob Metz, Miguel Pereira <m.pereira@wustl.edu>, Mauricio Vela, and Jeff Gill <jgill@wustl.edu>
Maintainer: Jeff Gill <jgill@wustl.edu>

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Package minval updated to version 0.4 with previous version 0.3 dated 2016-04-27

Title: MINimal VALidation for Stoichiometric Reactions
Description: For a given set of stoichiometric reactions, this package evaluates the mass balance and extracts all reactants, products, orphan metabolites, metabolite names and compartments. Also are included some options to check the compound names associated to Chemical Entities of Biological Interest (ChEBI) database <https://www.ebi.ac.uk/chebi>.
Author: Daniel Osorio [aut,cre], Janneth Gonzalez [aut], Andres Pinzon-Velasco [aut]
Maintainer: Daniel Osorio <dcosorioh@unal.edu.co>

Diff between minval versions 0.3 dated 2016-04-27 and 0.4 dated 2016-05-18

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 7 files changed, 21 insertions(+), 21 deletions(-)

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Package gamlss.util updated to version 4.3-4 with previous version 4.3-2 dated 2015-02-03

Title: GAMLSS Utilities
Description: Extra functions for GAMLSS and others models.
Author: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob Rigby <r.rigby@londonmet.ac.uk>, Paul Eilers <p.eilers@erasmusmc.nl>
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>

Diff between gamlss.util versions 4.3-2 dated 2015-02-03 and 4.3-4 dated 2016-05-18

 DESCRIPTION       |   13 +++----
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More information about gamlss.util at CRAN
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Package gamlss.mx updated to version 4.3-5 with previous version 4.3-2 dated 2015-07-28

Title: Fitting Mixture Distributions with GAMLSS
Description: The main purpose of this package is to allow fitting of mixture distributions with GAMLSS models.
Author: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob Rigby <r.rigby@londonmet.ac.uk>
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>

Diff between gamlss.mx versions 4.3-2 dated 2015-07-28 and 4.3-5 dated 2016-05-18

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Package gamlss.tr updated to version 4.3-6 with previous version 4.3-1 dated 2015-02-03

Title: Generating and Fitting Truncated `gamlss.family' Distributions
Description: This is an add on package to GAMLSS. The purpose of this package is to allow users to defined truncated distributions in GAMLSS models. The main function gen.trun() generates truncated version of an existing GAMLSS family distribution.
Author: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob Rigby <r.rigby@londonmet.ac.uk>
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>

Diff between gamlss.tr versions 4.3-1 dated 2015-02-03 and 4.3-6 dated 2016-05-18

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Package gamlss.cens updated to version 4.3-5 with previous version 4.3-2 dated 2015-07-16

Title: Fitting an Interval Response Variable Using `gamlss.family' Distributions
Description: This is an add-on package to GAMLSS. The purpose of this package is to allow users to fit interval response variables in GAMLSS models. The main function gen.cens() generates a censored version of an existing GAMLSS family distribution.
Author: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob Rigby <r.rigby@londonmet.ac.uk>, Nicoleta Mortan
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>

Diff between gamlss.cens versions 4.3-2 dated 2015-07-16 and 4.3-5 dated 2016-05-18

 DESCRIPTION  |   12 ++---
 MD5          |    8 +--
 NAMESPACE    |   47 ++++++++++----------
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New package mscsweblm4r with initial version 0.1.0
Package: mscsweblm4r
Type: Package
Title: R Client for the Microsoft Cognitive Services Web Language Model REST API
Version: 0.1.0
Author: person("Phil", "Ferriere", email="pferriere@hotmail.com", role = c("aut", "cre"))
Maintainer: Phil Ferriere <pferriere@hotmail.com>
Description: R Client for the Microsoft Cognitive Services Web Language Model REST API, including Break Into Words, Calculate Conditional Probability, Calculate Joint Probability, Generate Next Words, and List Available Models. A valid account MUST be registered at the Microsoft Cognitive Services website (https://www.microsoft.com/cognitive-services/) in order to obtain a (free) API key. Without an API key, this package will not work properly.
License: MIT + file LICENSE
URL: https://github.com/philferriere/mscsweblm4r
BugReports: http://www.github.com/philferriere/mscsweblm4r/issues
VignetteBuilder: knitr
Imports: methods, httr, jsonlite, pander
Suggests: knitr, rmarkdown, testthat
SystemRequirements: A valid account MUST be registered with Microsoft's Cognitive Services website (https://www.microsoft.com/cognitive-services/) in order to obtain a (free) API key. Without an API key, this package will not work properly.
NeedsCompilation: no
RoxygenNote: 5.0.1
Packaged: 2016-05-18 05:43:44 UTC; Phil
Repository: CRAN
Date/Publication: 2016-05-18 11:50:34

More information about mscsweblm4r at CRAN
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Package gamlss.data updated to version 4.3-4 with previous version 4.3-2 dated 2016-01-05

Title: GAMLSS Data
Description: Data for GAMLSS models.
Author: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob Rigby <r.rigby@londonmet.ac.uk>
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>

Diff between gamlss.data versions 4.3-2 dated 2016-01-05 and 4.3-4 dated 2016-05-18

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Package gamlss.dist updated to version 4.3-6 with previous version 4.3-5 dated 2015-07-21

Title: Distributions to be Used for GAMLSS Modelling
Description: The different distributions used for the response variables in GAMLSS modelling.
Author: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob Rigby <r.rigby@londonmet.ac.uk> with contributions from Calliope Akantziliotou, Gillian Heller, Raydonal Ospina <rospina@ime.usp.br>, Nicoletta Motpan, Fiona McElduff, Vlasios Voudouris, Majid Djennad, Marco Enea and Alexios Ghalanos.
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>

Diff between gamlss.dist versions 4.3-5 dated 2015-07-21 and 4.3-6 dated 2016-05-18

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Package gamlss updated to version 4.4-0 with previous version 4.3-8 dated 2016-02-08

Title: Generalised Additive Models for Location Scale and Shape
Description: Functions for fitting, displaying and checking GAMLSS Models.
Author: Mikis Stasinopoulos [aut, cre, cph], Bob Rigby [aut], Vlasios Voudouris [ctb], Calliope Akantziliotou [ctb], Marco Enea [ctb], Daniil Kiose [ctb]
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>

Diff between gamlss versions 4.3-8 dated 2016-02-08 and 4.4-0 dated 2016-05-18

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Package FactoMineR updated to version 1.33 with previous version 1.32 dated 2016-02-24

Title: Multivariate Exploratory Data Analysis and Data Mining
Description: Exploratory data analysis methods such as principal component methods and clustering.
Author: Francois Husson, Julie Josse, Sebastien Le, Jeremy Mazet
Maintainer: Francois Husson <francois.husson@agrocampus-ouest.fr>

Diff between FactoMineR versions 1.32 dated 2016-02-24 and 1.33 dated 2016-05-18

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Package bastah updated to version 1.0.5 with previous version 1.0.3 dated 2016-05-11

Title: Big Data Statistical Analysis for High-Dimensional Models
Description: Big data statistical analysis for high-dimensional models is made possible by modifying lasso.proj() in 'hdi' package by replacing its nodewise-regression with sparse precision matrix computation using 'BigQUIC'.
Author: Ehsan Ullah [aut, cre], Reda Rawi [aut], Lukas Meier [ctb], Ruben Dezeure [ctb], Nicolai Meinshausen [ctb], Martin Maechler [ctb], Peter Buehlmann [ctb], Tingni Sun [ctb]
Maintainer: Ehsan Ullah <eullah@qf.org.qa>

Diff between bastah versions 1.0.3 dated 2016-05-11 and 1.0.5 dated 2016-05-18

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New package wCorr with initial version 1.8.0
Package: wCorr
Type: Package
Title: Weighted Correlations
Version: 1.8.0
Date: 2016-05-03
Author: Ahmad Emad & Paul Bailey
Maintainer: Paul Bailey <pbailey@air.org>
Description: Calculates Pearson, Spearman, polychoric, and polyserial correlation coefficients, in weighted or unweighted form. The package implements tetrachoric correlation as a special case of the polychoric and biserial correlation as a specific case of the polyserial.
License: GPL-2
BugReports: https://github.com/ahmademad/wCorr/issues
Imports: minqa, mnormt, Rcpp, stats, doBy
Depends: R (>= 3.0.0)
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown, lattice, captioner
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2016-05-18 03:48:55 UTC; pbailey
Repository: CRAN
Date/Publication: 2016-05-18 06:53:53

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Package Thermimage updated to version 2.1 with previous version 2.0 dated 2016-05-09

Title: Thermal Image Analysis
Description: A collection of functions and routines for inputting thermal image video files, plotting and converting binary raw data into estimates of temperature. First published 2015-03-26. Written primarily for research purposes in biological applications of thermal images. v1 included the base calculations for converting thermal image binary values to temperatures. v2 included additional equations for providing heat transfer calculations.
Author: Glenn J. Tattersall
Maintainer: Glenn J. Tattersall <gtatters@brocku.ca>

Diff between Thermimage versions 2.0 dated 2016-05-09 and 2.1 dated 2016-05-18

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Package tcpl updated to version 1.2.2 with previous version 1.2 dated 2016-05-06

Title: ToxCast Data Analysis Pipeline
Description: A set of tools for processing and modeling high-throughput and high-content chemical screening data. The package was developed for the the chemical screening data generated by the US EPA ToxCast program, but can be used for diverse chemical screening efforts.
Author: Dayne L Filer [aut, cre], Parth Kothiya [ctb], Woodrow R Setzer [ctb], Richard S Judson [ths], Matthew T Martin [ctb, ths]
Maintainer: Dayne L Filer <dayne.filer@gmail.com>

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Package surveillance updated to version 1.12.1 with previous version 1.12.0 dated 2016-04-03

Title: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena
Description: Statistical methods for the modeling and monitoring of time series of counts, proportions and categorical data, as well as for the modeling of continuous-time point processes of epidemic phenomena. The monitoring methods focus on aberration detection in count data time series from public health surveillance of communicable diseases, but applications could just as well originate from environmetrics, reliability engineering, econometrics, or social sciences. The package implements many typical outbreak detection procedures such as the (improved) Farrington algorithm, or the negative binomial GLR-CUSUM method of Höhle and Paul (2008) <doi:10.1016/j.csda.2008.02.015>. A novel CUSUM approach combining logistic and multinomial logistic modeling is also included. The package contains several real-world data sets, the ability to simulate outbreak data, and to visualize the results of the monitoring in a temporal, spatial or spatio-temporal fashion. A recent overview of the available monitoring procedures is given by Salmon et al. (2016) <doi:10.18637/jss.v070.i10>. For the retrospective analysis of epidemic spread, the package provides three endemic-epidemic modeling frameworks with tools for visualization, likelihood inference, and simulation. 'hhh4' estimates models for (multivariate) count time series following Paul and Held (2011) <doi:10.1002/sim.4177> and Meyer and Held (2014) <doi:10.1214/14-AOAS743>. 'twinSIR' models the susceptible-infectious-recovered (SIR) event history of a fixed population, e.g, epidemics across farms or networks, as a multivariate point process as proposed by Höhle (2009) <doi:10.1002/bimj.200900050>. 'twinstim' estimates self-exciting point process models for a spatio-temporal point pattern of infective events, e.g., time-stamped geo-referenced surveillance data, as proposed by Meyer et al. (2012) <doi:10.1111/j.1541-0420.2011.01684.x>. A recent overview of the implemented space-time modeling frameworks for epidemic phenomena is given by Meyer et al. (2015) <http://arxiv.org/abs/1411.0416>.
Author: Michael Höhle [aut, ths], Sebastian Meyer [aut, cre], Michaela Paul [aut], Leonhard Held [ctb, ths], Thais Correa [ctb], Mathias Hofmann [ctb], Christian Lang [ctb], Juliane Manitz [ctb], Andrea Riebler [ctb], Daniel Sabanés Bové [ctb], Maëlle Salmon [ctb], Dirk Schumacher [ctb], Stefan Steiner [ctb], Mikko Virtanen [ctb], Wei Wei [ctb], Valentin Wimmer [ctb], R Core Team [ctb] (A few code segments are modified versions of code from base R)
Maintainer: Sebastian Meyer <Sebastian.Meyer@ifspm.uzh.ch>

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Package rscorecard updated to version 0.2.5 with previous version 0.2.4 dated 2016-03-26

Title: A Method to Download Department of Education College Scorecard Data
Description: A method to download Department of Education College Scorecard data using the public API. It is based on the dplyr model of piped commands to select and filter data in a single chained function call. An API key from the U.S. Department of Education is required.
Author: Benjamin Skinner [aut, cre]
Maintainer: Benjamin Skinner <b.skinner@vanderbilt.edu>

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Package rNOMADS updated to version 2.3.0 with previous version 2.2.0 dated 2016-03-21

Title: An Interface to the NOAA Operational Model Archive and Distribution System
Description: An interface to the National Oceanic and Atmospheric Administration's Operational Model Archive and Distribution System (NOMADS) that allows R users to quickly and efficiently download global and regional weather model data for processing. rNOMADS currently supports a variety of models ranging from global weather data to an altitude of 40 km, to high resolution regional weather models, to wave and sea ice models. It can also retrieve archived NOMADS models. rNOMADS can retrieve binary data in grib format as well as import ascii data directly into R by interfacing with the GrADS-DODS system.
Author: Daniel C. Bowman [aut, cre]
Maintainer: Daniel C. Bowman <danny.c.bowman@gmail.com>

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Package permPATH updated to version 0.6 with previous version 0.5 dated 2016-02-23

Title: Permutation Based Gene Expression Pathway Analysis
Description: Can be used to carry out permutation based gene expression pathway analysis. This work was supported by a National Institute of Allergy and Infectious Disease/National Institutes of Health contract (No. HHSN272200900059C).
Author: Ivo D. Shterev [aut, cre], Kouros Owzar [aut], Gregory D. Sempowski [aut], Kenneth Wilder [ctb, cph] (wrote original version of ranker.h)
Maintainer: Ivo D. Shterev <i.shterev@duke.edu>

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New package multiplyr with initial version 0.1.0
Package: multiplyr
Type: Package
Title: Data Manipulation with Parallelism and Shared Memory Matrices
Description: Provides a new form of data frame backed by shared memory matrices and a way to manipulate them. Upon creation these data frames are shared across multiple local nodes to allow for simple parallel processing.
Version: 0.1.0
Date: 2016-05-15
Maintainer: Jim Blundell <james.blundell@keble.ox.ac.uk>
Authors@R: c(person(given="Jim", family="Blundell", role = c("aut", "cre", "cph"), email = "james.blundell@keble.ox.ac.uk"))
License: GPL-3
Imports: bigmemory (>= 4.5.19), bigmemory.sri (>= 0.1.3), lazyeval (>= 0.1.10), parallel, methods
Depends: magrittr (>= 1.5)
LazyData: TRUE
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-05-17 15:46:46 UTC; jim
Author: Jim Blundell [aut, cre, cph]
Repository: CRAN
Date/Publication: 2016-05-18 06:52:59

More information about multiplyr at CRAN
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Package matchMulti updated to version 1.1.3 with previous version 1.1 dated 2016-02-26

Title: Optimal Multilevel Matching using a Network Algorithm
Description: Performs multilevel matches for data with cluster-level treatments and individual-level outcomes using a network optimization algorithm. Functions for checking balance at the cluster and individual levels are also provided, as are methods for permutation-inference-based outcome analysis.
Author: Luke Keele and Sam Pimentel
Maintainer: Sam Pimentel <spi@wharton.upenn.edu>

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Package iemisc updated to version 0.5.1 with previous version 0.5.0 dated 2016-02-09

Title: Irucka Embry's Miscellaneous Functions
Description: A collection of Irucka Embry's miscellaneous functions (Engineering Economics, Environmental/Water Resources Engineering, Geometry, Statistics, GNU Octave length functions, etc.).
Author: Irucka Embry [aut, cre]. Includes R source code and/or documentation previously published by: Felix Andrews (zoo) and Hans Werner Borchers (pracma). [Borrowed from DescTools description.]
Maintainer: Irucka Embry <iembry@ecoccs.com>

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Package hht updated to version 2.1.3 with previous version 2.1.2 dated 2015-01-21

Title: The Hilbert-Huang Transform: Tools and Methods
Description: Builds on the EMD package to provide additional tools for empirical mode decomposition (EMD) and Hilbert spectral analysis. It also implements the ensemble empirical decomposition (EEMD) and the complete ensemble empirical mode decomposition (CEEMD) methods to avoid mode mixing and intermittency problems found in EMD analysis. The package comes with several plotting methods that can be used to view intrinsic mode functions, the HHT spectrum, and the Fourier spectrum.
Author: Daniel C. Bowman [aut, cre], Jonathan M. Lees [ctb]
Maintainer: Daniel C. Bowman <danny.c.bowman@gmail.com>

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