Thu, 11 May 2017

Package widgetframe updated to version 0.2.0 with previous version 0.1.0 dated 2017-02-27

Title: 'Htmlwidgets' in Responsive 'iframes'
Description: Provides two functions 'frameableWidget()', and 'frameWidget()'. The 'frameableWidget()' is used to add extra code to a 'htmlwidget' which allows is to be rendered correctly inside a responsive 'iframe'. The 'frameWidget()' is a 'htmlwidget' which displays content of another 'htmlwidget' inside a responsive 'iframe'. These functions allow for easier embedding of 'htmlwidgets' in content management systems such as 'wordpress', 'blogger' etc. They also allow for separation of widget content from main HTML content where CSS of the main HTML could interfere with the widget.
Author: Bhaskar Karambelkar [aut, cre]
Maintainer: Bhaskar Karambelkar <bhaskarvk@gmail.com>

Diff between widgetframe versions 0.1.0 dated 2017-02-27 and 0.2.0 dated 2017-05-11

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More information about widgetframe at CRAN
Permanent link

Package EMP updated to version 2.0.2 with previous version 2.0.1 dated 2015-01-15

Title: Expected Maximum Profit Classification Performance Measure
Description: Functions for estimating EMP (Expected Maximum Profit Measure) in Credit Risk Scoring and Customer Churn Prediction, according to Verbraken et al (2013, 2014) <DOI:10.1109/TKDE.2012.50>, <DOI:10.1016/j.ejor.2014.04.001>.
Author: Cristian Bravo [aut, cre], Seppe vanden Broucke [ctb], Thomas Verbraken [aut]
Maintainer: Cristian Bravo <C.Bravo@soton.ac.uk>

Diff between EMP versions 2.0.1 dated 2015-01-15 and 2.0.2 dated 2017-05-11

 DESCRIPTION        |   22 +++++++-----
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More information about EMP at CRAN
Permanent link

Package Zelig updated to version 5.1-1 with previous version 5.0-17 dated 2017-03-13

Title: Everyone's Statistical Software
Description: A framework that brings together an abundance of common statistical models found across packages into a unified interface, and provides a common architecture for estimation and interpretation, as well as bridging functions to absorb increasingly more models into the collective library. Zelig allows each individual package, for each statistical model, to be accessed by a common uniformly structured call and set of arguments. Moreover, Zelig automates all the surrounding building blocks of a statistical work-flow--procedures and algorithms that may be essential to one user's application but which the original package developer did not use in their own research and might not themselves support. These include bootstrapping, jackknifing, and re-weighting of data. In particular, Zelig automatically generates predicted and simulated quantities of interest (such as relative risk ratios, average treatment effects, first differences and predicted and expected values) to interpret and visualize complex models.
Author: Christine Choirat [aut], Christopher Gandrud [aut, cre], James Honaker [aut], Kosuke Imai [aut], Gary King [aut], Olivia Lau [aut], IQSS Harvard University [cph]
Maintainer: Christopher Gandrud <zelig.zee@gmail.com>

Diff between Zelig versions 5.0-17 dated 2017-03-13 and 5.1-1 dated 2017-05-11

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More information about Zelig at CRAN
Permanent link

Package TransModel updated to version 2.1 with previous version 2.0 dated 2017-05-02

Title: Fit Linear Transformation Models for Right Censored Data
Description: A unified estimation procedure for the analysis of right censored data using linear transformation models.
Author: Jie Zhou, Jiajia Zhang, Wenbin Lu
Maintainer: Jie Zhou <zhoujie02569@gmail.com>

Diff between TransModel versions 2.0 dated 2017-05-02 and 2.1 dated 2017-05-11

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More information about TransModel at CRAN
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New package stratbr with initial version 1.0
Package: stratbr
Type: Package
Title: Optimal Stratification in Stratified Sampling
Version: 1.0
Date: 2017-10-05
Author: Jose Brito, Pedro Silva and Tomas Veiga
Maintainer: Jose Brito <jambrito@gmail.com>
Description: An Optimization Algorithm Applied to Univariate Stratification Problem This function aims at constructing optimal strata with an optimization algorithm based on a global optimisation technique called Biased Random Key Genetic Algorithms.
Depends: Rglpk,snowfall,stratification
Encoding: UTF-8
License: GPL-2
LazyData: true
RoxygenNote: 5.0.1
Packaged: 2017-05-11 17:51:21 UTC; britom
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2017-05-11 18:17:30 UTC

More information about stratbr at CRAN
Permanent link

Package purrr updated to version 0.2.2.2 with previous version 0.2.2 dated 2016-06-18

Title: Functional Programming Tools
Description: Make your pure functions purr with the 'purrr' package. This package completes R's functional programming tools with missing features present in other programming languages.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>

Diff between purrr versions 0.2.2 dated 2016-06-18 and 0.2.2.2 dated 2017-05-11

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New package lhmixr with initial version 0.1.0
Package: lhmixr
Title: Fit Sex-Specific Life History Models with Missing Classifications
Version: 0.1.0
Date: 2017-05-09
Authors@R: c( person("Coilin", "Minto", email = "coilin.minto@gmit.ie", role = c("aut", "cre")), person("John", "Hinde", email = "john.hinde@nuigalway.ie", role = c("aut")), person("Rui", "Coelho", email = " rpcoelho@ualg.pt", role = c("ctb", "dtc")))
Author: Coilin Minto [aut, cre], John Hinde [aut], Rui Coelho [ctb, dtc]
Maintainer: Coilin Minto <coilin.minto@gmit.ie>
Description: Fits sex-specific life-history models for fish and other taxa where some of the individuals have unknown sex.
Depends: R (>= 3.2.0)
License: GPL (>= 3)
URL: https://github.com/mintoc/lhmixr
BugReports: https://github.com/mintoc/lhmixr/issues
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-11 17:33:55 UTC; coilin
Repository: CRAN
Date/Publication: 2017-05-11 18:18:01 UTC

More information about lhmixr at CRAN
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Package fields updated to version 8.15 with previous version 8.8 dated 2016-12-16

Title: Tools for Spatial Data
Description: For curve, surface and function fitting with an emphasis on splines, spatial data and spatial statistics. The major methods include cubic, and thin plate splines, Kriging and compact covariances for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get started and for an overview. The fields source code is deliberately commented and provides useful explanations of numerical details as a companion to the manual pages. The commented source code can be viewed by expanding the package source code "tarball" (ending in tar.gz) and looking in the R subdirectory. The reference for fields can be generated by the citation function in R and has DOI <doi:10.5065/D6W957CT>.
Author: Douglas Nychka [aut, cre], Reinhard Furrer [aut], John Paige [aut], Stephan Sain [aut]
Maintainer: Douglas Nychka <nychka@ucar.edu>

Diff between fields versions 8.8 dated 2016-12-16 and 8.15 dated 2017-05-11

 fields-8.15/fields/DESCRIPTION                           |   16 
 fields-8.15/fields/MD5                                   |  124 +++----
 fields-8.15/fields/NAMESPACE                             |    2 
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 fields-8.15/fields/R/MLESpatialProcess.R                 |   39 +-
 fields-8.15/fields/R/as.image.R                          |   13 
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 fields-8.15/fields/R/mKrig.R                             |   16 
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 fields-8.15/fields/tests/REMLest.test.R                  |   44 ++
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 67 files changed, 964 insertions(+), 593 deletions(-)

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Package cba updated to version 0.2-19 with previous version 0.2-18 dated 2017-01-18

Title: Clustering for Business Analytics
Description: Implements clustering techniques such as Proximus and Rock, utility functions for efficient computation of cross distances and data manipulation.
Author: Christian Buchta and Michael Hahsler
Maintainer: Christian Buchta <christian.buchta@wu.ac.at>

Diff between cba versions 0.2-18 dated 2017-01-18 and 0.2-19 dated 2017-05-11

 DESCRIPTION    |    6 +++---
 MD5            |    8 ++++----
 src/dll.c      |   38 +++++++++++++++++++-------------------
 src/proximus.c |    2 +-
 src/sdists.c   |    9 ++++++---
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Package smacof updated to version 1.9-6 with previous version 1.8-13 dated 2016-04-22

Title: Multidimensional Scaling
Description: Provides the following approaches for multidimensional scaling (MDS) based on stress minimization using majorization (smacof): basic MDS on symmetric dissimilarity matrices, MDS with external constraints on the configuration, individual differences scaling (idioscal, indscal, and friends), MDS with spherical restrictions, and unfolding. The MDS type can be ratio, interval, ordinal, and monotone splines. Various tools and extensions like jackknife MDS, bootstrap MDS, permutation tests, MDS biplots, gravity models, inverse MDS, unidimensional scaling, drift vectors (asymmetric MDS), classical scaling, and Procrustes are implemented as well.
Author: Patrick Mair [aut, cre], Jan De Leeuw [aut], Ingwer Borg [ctb], Patrick J. F. Groenen [ctb]
Maintainer: Patrick Mair <mair@fas.harvard.edu>

Diff between smacof versions 1.8-13 dated 2016-04-22 and 1.9-6 dated 2017-05-11

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 smacof-1.9-6/smacof/man/randomstress.Rd      |    4 
 smacof-1.9-6/smacof/man/rectangles.Rd        |   10 -
 smacof-1.9-6/smacof/man/residuals.smacof.Rd  |    3 
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 smacof-1.9-6/smacof/man/smacofSym.Rd         |   19 ++-
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New package gmediation with initial version 0.1.0
Package: gmediation
Type: Package
Title: Mediation Analysis for Multiple and Multi-Stage Mediators
Version: 0.1.0
Author: Jang Ik Cho, Jeffrey Albert
Maintainer: Jang Ik Cho <jxc864@case.edu>
Description: Current version of this R package conducts mediation path analysis for multiple mediators in two stages.
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyLoad: true
LazyData: true
Imports: plyr (>= 1.8.4), VGAM (>= 1.0), MASS
Suggests: mediation, knitr, rmarkdown
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-11 16:26:38 UTC; jangikcho
Repository: CRAN
Date/Publication: 2017-05-11 17:13:05 UTC

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Package arulesSequences updated to version 0.2-19 with previous version 0.2-18 dated 2017-03-16

Title: Mining Frequent Sequences
Description: Add-on for arules to handle and mine frequent sequences. Provides interfaces to the C++ implementation of cSPADE by Mohammed J. Zaki.
Author: Christian Buchta and Michael Hahsler, with contributions from Daniel Diaz
Maintainer: Christian Buchta <christian.buchta@wu.ac.at>

Diff between arulesSequences versions 0.2-18 dated 2017-03-16 and 0.2-19 dated 2017-05-11

 CHANGELOG             |    6 ++++++
 DESCRIPTION           |    6 +++---
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 src/matrix.c          |   22 ++++++++++++++--------
 src/similarity.c      |   32 ++++++++++++++++++--------------
 6 files changed, 54 insertions(+), 37 deletions(-)

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Package ROI.plugin.clp updated to version 0.2 with previous version 0.1 dated 2017-04-12

Title: 'Clp (Coin-or linear programming)' Plugin for the 'R' Optimization Interface
Description: Enhances the R Optimization Infrastructure (ROI) package by registering the COIN-OR Clp open-source solver from the COIN-OR suite <https://projects.coin-or.org/>. It allows for solving linear programming with continuous objective variables keeping sparse constraints definition.
Author: Benoit Thieurmel [aut, cre]
Maintainer: Benoit Thieurmel <benoit.thieurmel@datastorm.fr>

Diff between ROI.plugin.clp versions 0.1 dated 2017-04-12 and 0.2 dated 2017-05-11

 DESCRIPTION              |    8 +++----
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 R/zzz.R                  |    2 -
 README.md                |    3 ++
 tests/testthat/test_LP.R |    2 -
 6 files changed, 31 insertions(+), 42 deletions(-)

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Package mmand updated to version 1.5.0 with previous version 1.4.1 dated 2016-09-06

Title: Mathematical Morphology in Any Number of Dimensions
Description: Provides tools for performing mathematical morphology operations, such as erosion and dilation, on data of arbitrary dimensionality. Can also be used for finding connected components, resampling, filtering, smoothing and other image processing-style operations.
Author: Jon Clayden
Maintainer: Jon Clayden <code@clayden.org>

Diff between mmand versions 1.4.1 dated 2016-09-06 and 1.5.0 dated 2017-05-11

 DESCRIPTION                            |   14 +-
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 NAMESPACE                              |    8 +
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 README.md                              |   69 ++++++++++----
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Package measuRing updated to version 0.4 with previous version 0.3 dated 2015-03-23

Title: Detection and Control of Tree-Ring Widths on Scanned Image Sections
Description: Identification of ring borders on scanned image sections from dendrochronological samples. Processing of image reflectances to produce gray matrices and time series of smoothed gray values. Luminance data is plotted on segmented images for users to perform both: visual identification of ring borders, or control of automatic detection. Routines to visually include/exclude ring borders on the R graphical device, or automatically detect ring borders using a linear detection algorithm. This algorithm detects ring borders according to positive/negative extreme values in the smoothed time-series of gray values.
Author: Wilson Lara, Carlos Sierra, Felipe Bravo
Maintainer: Wilson Lara <wilarhen@gmail.com>

Diff between measuRing versions 0.3 dated 2015-03-23 and 0.4 dated 2017-05-11

 DESCRIPTION              |   12 ++++++------
 MD5                      |   43 ++++++++++++++++++++++++-------------------
 NAMESPACE                |   14 +++++++++++++-
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New package LAM with initial version 0.0-17
Package: LAM
Type: Package
Title: Some Latent Variable Models
Version: 0.0-17
Date: 2017-05-11 14:07:52
Author: Alexander Robitzsch [aut,cre]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Description: Contains some procedures for latent variable modelling with a particular focus on multilevel data. The LAM package contains mean and covariance structure modelling for multivariate normally distributed data ('mlnormal'), a general Metropolis-Hastings algorithm ('amh') and penalized maximum likelihood estimation ('pmle').
Depends: R (>= 3.1)
Imports: CDM, coda, graphics, Rcpp, sirt (>= 2.0), stats, utils
Suggests: lavaan, lme4, MASS
LinkingTo: Rcpp, RcppArmadillo
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2017-05-11 12:08:01 UTC; sunpn563
Repository: CRAN
Date/Publication: 2017-05-11 16:30:10 UTC

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Package flacco updated to version 1.6 with previous version 1.5 dated 2017-04-28

Title: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems
Description: Contains tools and features, which can be used for an Exploratory Landscape Analysis (ELA) of single-objective continuous optimization problems. Those features are able to quantify rather complex properties, such as the global structure, separability, etc., of the optimization problems.
Author: Pascal Kerschke [aut, cre], Christian Hanster [ctb], Jan Dagefoerde [ctb]
Maintainer: Pascal Kerschke <kerschke@uni-muenster.de>

Diff between flacco versions 1.5 dated 2017-04-28 and 1.6 dated 2017-05-11

 DESCRIPTION                          |   16 +++---
 MD5                                  |   26 +++++------
 NEWS                                 |    9 +++
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 R/feature_ic_infocontent.R           |    7 +--
 R/gui_BBOBImport.R                   |   43 +++++++++++++++---
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Package bhm updated to version 1.11 with previous version 1.1 dated 2016-10-11

Title: Biomarker Threshold Models
Description: Biomarker threshold models are tools to fit both predictive and prognostic biomarker effects.
Author: Bingshu E. Chen
Maintainer: Bingshu E. Chen <bingshu.chen@queensu.ca>

Diff between bhm versions 1.1 dated 2016-10-11 and 1.11 dated 2017-05-11

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Package gjam updated to version 2.1.4 with previous version 2.1.3 dated 2017-04-24

Title: Generalized Joint Attribute Modeling
Description: Analyzes joint attribute data (e.g., species abundance) that are combinations of continuous and discrete data with Gibbs sampling.
Author: James S. Clark, Daniel Taylor-Rodriquez
Maintainer: James S. Clark <jimclark@duke.edu>

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Package confinterpret updated to version 0.2.0 with previous version 0.1.0 dated 2017-03-15

Title: Descriptive Interpretations of Confidence Intervals
Description: Produces descriptive interpretations of confidence intervals. Includes (extensible) support for various test types, specified as sets of interpretations dependent on where the lower and upper confidence limits sit.
Author: Jim Vine [aut, cre]
Maintainer: Jim Vine <code@jimvine.co.uk>

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Package sirt updated to version 2.0-25 with previous version 1.15-41 dated 2017-03-02

Title: Supplementary Item Response Theory Models
Description: Supplementary item response theory models to complement existing functions in R, including multidimensional compensatory and noncompensatory IRT models, MCMC for hierarchical IRT models and testlet models, NOHARM, Rasch copula model, faceted and hierarchical rater models, ordinal IRT model (ISOP), DETECT statistic, local structural equation modeling (LSEM).
Author: Alexander Robitzsch [aut,cre]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

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Package Rfast updated to version 1.8.0 with previous version 1.7.5 dated 2017-02-26

Title: Fast R Functions
Description: A collection of fast (utility) functions for data analysis. Column- and row- wise means, medians, variances, minimums, maximums, many t, F and G-square tests, many regressions (normal, logistic, Poisson), are some of the many fast functions.
Author: Manos Papadakis, Michail Tsagris, Marios Dimitriadis, Ioannis Tsamardinos, Matteo Fasiolo, Giorgos Borboudakis, John Burkardt and Changliang Zou
Maintainer: Manos Papadakis <papadakm95@gmail.com>

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Package productivity updated to version 0.2.0 with previous version 0.1.0 dated 2016-11-14

Title: Indices of Productivity Using Data Envelopment Analysis (DEA)
Description: Various transitive measures of productivity and profitability, in levels and changes, are computed. In addition to the classic Malmquist productivity index, the 'productivity' package contains also the multiplicatively complete and transitive Färe-Primont and Lowe indices. These indices are also decomposed into different components providing insightful information on the sources of productivity and profitability improvements. In the use of Malmquist productivity index, the technological change index is further decomposed into bias technological change components. For the transitive Färe-Primont and Lowe measures, it is possible to rule out technological change. The package also allows to prohibit negative technological change. All the estimations are based on the nonparametric Data Envelopment Analysis (DEA) and several assumptions regarding returns to scale are available (i.e. CRS, VRS, NIRS, NDRS). The package allows parallel computing by default, depending on the user's computer configuration.
Author: K Hervé Dakpo [aut], Yann Desjeux [aut, cre], Laure Latruffe [aut]
Maintainer: Yann Desjeux <yann.desjeux@inra.fr>

Diff between productivity versions 0.1.0 dated 2016-11-14 and 0.2.0 dated 2017-05-11

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More information about productivity at CRAN
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Package EpistemicGameTheory (with last version 0.1.0) was removed from CRAN

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

2017-05-10 0.1.0

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Package rscala updated to version 2.1.1 with previous version 2.1.0 dated 2017-05-09

Title: Bi-Directional Interface Between R and Scala with Callbacks
Description: The Scala <http://www.scala-lang.org/> interpreter is embedded in R and callbacks to R from the embedded interpreter are supported. Conversely, the R interpreter is embedded in Scala. Scala versions in the 2.10.x, 2.11.x, and 2.12.x series are supported.
Author: David B. Dahl [aut, cre]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

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Package RNifti updated to version 0.5.1 with previous version 0.5.0 dated 2017-03-08

Title: Fast R and C++ Access to NIfTI Images
Description: Provides very fast access to images stored in the NIfTI-1 file format <http://nifti.nimh.nih.gov/nifti-1>, with seamless synchronisation between compiled C and interpreted R code. Not to be confused with 'RNiftyReg', which provides tools for image registration.
Author: Jon Clayden [cre, aut], Bob Cox [aut], Mark Jenkinson [aut], Rick Reynolds [ctb], Kate Fissell [ctb], Jean-loup Gailly [cph], Mark Adler [cph]
Maintainer: Jon Clayden <code@clayden.org>

Diff between RNifti versions 0.5.0 dated 2017-03-08 and 0.5.1 dated 2017-05-11

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Package magicaxis updated to version 2.0.1 with previous version 2.0.0 dated 2016-06-26

Title: Pretty Scientific Plotting with Minor-Tick and Log Minor-Tick Support
Description: Functions to make useful (and pretty) plots for scientific plotting. Additional plotting features are added for base plotting, with particular emphasis on making attractive log axis plots.
Author: Aaron Robotham
Maintainer: Aaron Robotham <aaron.robotham@uwa.edu.au>

Diff between magicaxis versions 2.0.0 dated 2016-06-26 and 2.0.1 dated 2017-05-11

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New package BGData with initial version 1.0.0
Package: BGData
Version: 1.0.0
License: MIT + file LICENSE
Title: A Suite of Packages for Analysis of Big Genomic Data
Description: An umbrella package providing a phenotype/genotype data structure and scalable and efficient computational methods for large genomic datasets in combination with several other packages: 'BEDMatrix', 'LinkedMatrix', and 'symDMatrix'.
Authors@R: c( person("Gustavo", "de los Campos", email = "gustavoc@msu.edu", role = c("aut")), person("Alexander", "Grueneberg", email = "alexander.grueneberg@googlemail.com", role = c("aut", "cre")), person("Paulino", "Perez", email = "perpdgo@gmail.com", role = c("ctb")), person("Ana", "Vazquez", email = "avazquez@epi.msu.edu", role = c("ctb")))
URL: https://github.com/QuantGen/BGData
BugReports: https://github.com/QuantGen/BGData/issues
Depends: R (>= 3.0.0), BEDMatrix, LinkedMatrix, symDMatrix
Imports: methods, parallel, bigmemory, ff, bit
Suggests: data.table, lme4, SKAT, testthat
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-11 09:08:21 UTC; agrueneberg
Author: Gustavo de los Campos [aut], Alexander Grueneberg [aut, cre], Paulino Perez [ctb], Ana Vazquez [ctb]
Maintainer: Alexander Grueneberg <alexander.grueneberg@googlemail.com>
Repository: CRAN
Date/Publication: 2017-05-11 12:55:30 UTC

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Package tmaptools updated to version 1.2-1 with previous version 1.2 dated 2017-01-29

Title: Thematic Map Tools
Description: Set of tools for reading and processing spatial data. The aim is to supply the workflow to create thematic maps. This package also facilitates 'tmap', the package for visualizing thematic maps.
Author: Martijn Tennekes [aut, cre]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmaptools versions 1.2 dated 2017-01-29 and 1.2-1 dated 2017-05-11

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Package Inventorymodel updated to version 1.0.4 with previous version 1.0.3 dated 2017-04-17

Title: Inventory Models
Description: Determination of the optimal policy in inventory problems from a game-theoretic perspective.
Author: Alejandro Saavedra Nieves
Maintainer: Alejandro Saavedra Nieves <alejandro.saavedra.nieves@gmail.com>

Diff between Inventorymodel versions 1.0.3 dated 2017-04-17 and 1.0.4 dated 2017-05-11

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New package breathtestcore with initial version 0.3.0
Package: breathtestcore
Title: Core Functions to Read and Fit 13c Time Series from Breath Tests
Version: 0.3.0
Date: 2017-05-07
Authors@R: c( person("Dieter", "Menne", , "dieter.menne@menne-biomed.de", role = c("aut", "cre")), person("Menne Biomed Consulting Tuebingen", role = c("cph")), person("Benjamin","Misselwitz", , role = c("fnd")), person("Mark", "Fox", , role = c("fnd")), person("University Hospital of Zurich, Dep. Gastroenterology", role = c("fnd", "dtc")) )
Description: Reads several formats of 13C data (IRIS/Wagner, BreathID) and CSV. Creates artificial sample data for testing. Fits Maes/Ghoos, Bluck-Coward self-correcting formula using 'nls', 'nlme'. See Bluck L J C and Coward W A 2006 <doi:10.1088/0967-3334/27/3/006>. This package contains a refactored subset of github package 'dmenne/d13cbreath' without database and display functions. Methods to fit breath test curves with Bayesian Stan methods are refactored to github package 'dmenne/breathteststan'. For a Shiny GUI, see package 'dmenne/breathtestshiny'.
Depends: R (>= 3.4.0)
Imports: nlme, MASS, stringr, dplyr, purrr, readr, tibble, methods, assertthat, broom, tidyr, ggplot2, signal, utils
Suggests: testthat, covr, knitr
URL: https://github.com/dmenne/breathtestcore
License: GPL-3
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-11 07:48:35 UTC; Dieter
Author: Dieter Menne [aut, cre], Menne Biomed Consulting Tuebingen [cph], Benjamin Misselwitz [fnd], Mark Fox [fnd], University Hospital of Zurich, Dep. Gastroenterology [fnd, dtc]
Maintainer: Dieter Menne <dieter.menne@menne-biomed.de>
Repository: CRAN
Date/Publication: 2017-05-11 08:18:37 UTC

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New package zooaRchGUI with initial version 1.0.0
Package: zooaRchGUI
Type: Package
Title: Analytical Tools for Zooarchaeological Data
Version: 1.0.0
Date: 2017-05-11
Author: Erik Otarola-Castillo, Jesse Wolfhagen, John Brian Rapes, and Max D. Price
Maintainer: Erik Otarola-Castillo <eoc@purdue.edu>
Description: The analysis and inference of faunal remains recovered from archaeological sites concerns the field of zooarchaeology. The zooaRch package provides analytical tools to make inferences on zooarchaeological data. Functions in this package allow users to read, manipulate, visualize, and analyze zooarchaeological data.
Imports: car, coda, foreign, geomorph, ggplot2, graphics, grDevices, MASS, pgirmess, raster, readxl, rjags, sp, spdep, splancs, stats, tcltk, tcltk2, tkrplot, utils, vegan, xlsx
License: GPL (>= 2)
LazyData: true
Suggests: rmarkdown, knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-05-11 06:59:17 UTC; eotarola
Repository: CRAN
Date/Publication: 2017-05-11 07:37:58 UTC

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Package WaveLetLongMemory updated to version 0.1.1 with previous version 0.1.0 dated 2016-12-12

Title: Estimating Long Memory Parameter using Wavelet
Description: Estimation of the long memory parameter using wavelets. Other estimation techniques like GPH (Geweke and Porter-Hudak,1983, <DOI:10.1111/j.1467-9892.1983.tb00371.x>) and Semiparametric methods(Robinson, P. M.,1995, <DOI:10.1214/aos/1176324317>) also have included.
Author: Sandipan Samanta and Dr. Ranjit Kumar Paul
Maintainer: Dr. Ranjit Kumar Paul <ranjitstat@gmail.com>

Diff between WaveLetLongMemory versions 0.1.0 dated 2016-12-12 and 0.1.1 dated 2017-05-11

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New package olsrr with initial version 0.1.0
Package: olsrr
Type: Package
Title: Tools for Teaching and Learning OLS Regression
Version: 0.1.0
Authors@R: person("Aravind", "Hebbali", email = "hebbali.aravind@gmail.com", role = c("aut", "cre"))
Description: Tools for teaching and learning ordinary least squares regression. Includes comprehensive regression output, heteroskedasticity tests, collinearity diagnostics, residual diagnostics, measures of influence, model fit assessment and variable selection procedures.
Depends: R(>= 3.2.4)
Imports: ggplot2, gridExtra, graphics, dplyr, magrittr, purrr, tibble, tidyr, nortest, goftest, Rcpp
Suggests: testthat, covr, knitr, rmarkdown
License: MIT + file LICENSE
URL: https://rsquaredacademy.github.io/olsrr/, https://github.com/rsquaredacademy/olsrr
BugReports: https://github.com/rsquaredacademy/olsrr/issues
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 5.0.1
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-05-11 06:27:31 UTC; HP
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>
Repository: CRAN
Date/Publication: 2017-05-11 07:39:15 UTC

More information about olsrr at CRAN
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Package cubature updated to version 1.3-8 with previous version 1.3-6 dated 2016-12-12

Title: Adaptive Multivariate Integration over Hypercubes
Description: R wrapper around the cubature C library of Steven G. Johnson for adaptive multivariate integration over hypercubes. This version provides both hcubature and pcubature routines in addition to a vector interface that results in substantial speed gains.
Author: Balasubramanian Narasimhan [aut, cre], Steven G. Johnson [aut]
Maintainer: Balasubramanian Narasimhan <naras@stat.stanford.edu>

Diff between cubature versions 1.3-6 dated 2016-12-12 and 1.3-8 dated 2017-05-11

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Package archiDART updated to version 2.0 with previous version 1.4 dated 2016-03-07

Title: Plant Root System Architecture Analysis Using DART and RSML Files
Description: Analysis of complex plant root system architectures (RSA) using the output files created by Data Analysis of Root Tracings (DART), an open-access software dedicated to the study of plant root architecture and development across time series (Le Bot et al (2010) "DART: a software to analyse root system architecture and development from captured images", Plant and Soil, <DOI:10.1007/s11104-009-0005-2>), and RSA data encoded with the Root System Markup Language (RSML) (Lobet et al (2015) "Root System Markup Language: toward a unified root architecture description language", Plant Physiology, <DOI:10.1104/pp.114.253625>). More information can be found in Delory et al (2016) "archiDART: an R package for the automated computation of plant root architectural traits", Plant and Soil, <DOI:10.1007/s11104-015-2673-4>.
Author: Benjamin M Delory, Caroline Baudson, Yves Brostaux, Guillaume Lobet, Patrick du Jardin, Loic Pages, Pierre Delaplace
Maintainer: Benjamin M Delory <Benjamin.Delory@leuphana.de>

Diff between archiDART versions 1.4 dated 2016-03-07 and 2.0 dated 2017-05-11

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Package WebGestaltR updated to version 0.1.1 with previous version 0.1.0 dated 2017-05-02

Title: The R Version of WebGestalt
Description: The web version WebGestalt <http://www.webgestalt.org> supports 12 organisms, 324 gene identifiers and 150,937 function categories. Users can upload the data and functional categories with their own gene identifiers. In addition to the Over-Representation Analysis, WebGestalt also supports Gene Set Enrichment Analysis. The user-friendly output interface allow interactive and efficient exploration of enrichment results. The WebGestaltR package not only supports all above functions but also can be integrated into other pipeline or simultaneous analyze multiple gene lists.
Author: Jing Wang <jingwang.uestc@gmail.com>
Maintainer: Jing Wang <jingwang.uestc@gmail.com>

Diff between WebGestaltR versions 0.1.0 dated 2017-05-02 and 0.1.1 dated 2017-05-11

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Package TAM updated to version 2.1-43 with previous version 2.0-37 dated 2017-04-12

Title: Test Analysis Modules
Description: Includes marginal maximum likelihood estimation of uni- and multidimensional item response models (Rasch, 2PL, 3PL, Generalized Partial Credit, Multi Facets, Nominal Item Response, Structured Latent Class Analysis, Mixture Distribution IRT Models, Located Latent Class Models) and joint maximum likelihood estimation for models from the Rasch family. Latent regression models and plausible value imputation are also supported.
Author: Alexander Robitzsch [aut, cre], Thomas Kiefer [aut], Margaret Wu [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between TAM versions 2.0-37 dated 2017-04-12 and 2.1-43 dated 2017-05-11

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 TAM-2.1-43/TAM/man/tam.latreg.Rd                                   |    9 
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 113 files changed, 1573 insertions(+), 2840 deletions(-)

More information about TAM at CRAN
Permanent link

Package RGCCA updated to version 2.1.2 with previous version 2.1.1 dated 2017-04-30

Title: Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data
Description: Multiblock data analysis concerns the analysis of several sets of variables (blocks) observed on the same group of individuals. The main aims of the RGCCA package are: (i) to study the relationships between blocks and (ii) to identify subsets of variables of each block which are active in their relationships with the other blocks.
Author: Arthur Tenenhaus and Vincent Guillemot
Maintainer: Arthur Tenenhaus <arthur.tenenhaus@centralesupelec.fr>

Diff between RGCCA versions 2.1.1 dated 2017-04-30 and 2.1.2 dated 2017-05-11

 RGCCA-2.1.1/RGCCA/vignettes/figures            |only
 RGCCA-2.1.2/RGCCA/DESCRIPTION                  |    8 ++++----
 RGCCA-2.1.2/RGCCA/MD5                          |   20 ++++++++++----------
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 RGCCA-2.1.2/RGCCA/inst/doc/vignette_RGCCA.pdf  |binary
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 7 files changed, 14 insertions(+), 16 deletions(-)

More information about RGCCA at CRAN
Permanent link

Package mixOmics updated to version 6.1.3 with previous version 6.1.2 dated 2017-02-27

Title: Omics Data Integration Project
Description: Multivariate methods are well suited to large omics data sets where the number of variables (e.g. genes, proteins, metabolites) is much larger than the number of samples (patients, cells, mice). They have the appealing properties of reducing the dimension of the data by using instrumental variables (components), which are defined as combinations of all variables. Those components are then used to produce useful graphical outputs that enable better understanding of the relationships and correlation structures between the different data sets that are integrated. mixOmics offers a wide range of multivariate methods for the exploration and integration of biological datasets with a particular focus on variable selection. The package proposes several sparse multivariate models we have developed to identify the key variables that are highly correlated, and/or explain the biological outcome of interest. The data that can be analysed with mixOmics may come from high throughput sequencing technologies, such as omics data (transcriptomics, metabolomics, proteomics, metagenomics etc) but also beyond the realm of omics (e.g. spectral imaging). The methods implemented in mixOmics can also handle missing values without having to delete entire rows with missing data. A non exhaustive list of methods include variants of generalised Canonical Correlation Analysis, sparse Partial Least Squares and sparse Discriminant Analysis. Recently we implemented integrative methods to combine multiple data sets: N-integration with variants of Generalised Canonical Correlation Analysis and P-integration with variants of multi-group Partial Least Squares.
Author: Kim-Anh Le Cao, Florian Rohart, Ignacio Gonzalez, Sebastien Dejean with key contributors Benoit Gautier, Francois Bartolo and contributions from Pierre Monget, Jeff Coquery, FangZou Yao, Benoit Liquet.
Maintainer: Kim-Anh Le Cao <kimanh.lecao@unimelb.edu.au>

Diff between mixOmics versions 6.1.2 dated 2017-02-27 and 6.1.3 dated 2017-05-11

 mixOmics-6.1.2/mixOmics/R/tune.diablo.R             |only
 mixOmics-6.1.3/mixOmics/DESCRIPTION                 |   12 +-
 mixOmics-6.1.3/mixOmics/MD5                         |  112 ++++++++++----------
 mixOmics-6.1.3/mixOmics/NAMESPACE                   |    3 
 mixOmics-6.1.3/mixOmics/NEWS                        |   24 ++++
 mixOmics-6.1.3/mixOmics/R/LOGOCV.R                  |   15 +-
 mixOmics-6.1.3/mixOmics/R/MCVfold.R                 |   40 -------
 mixOmics-6.1.3/mixOmics/R/background.predict.R      |only
 mixOmics-6.1.3/mixOmics/R/circosPlot.R              |   48 +++++---
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 mixOmics-6.1.3/mixOmics/R/internal_graphicModule.R  |   46 +++++++-
 mixOmics-6.1.3/mixOmics/R/perf.R                    |   13 +-
 mixOmics-6.1.3/mixOmics/R/perf.diablo.R             |   33 +++++
 mixOmics-6.1.3/mixOmics/R/perf.mint.splsda.R        |   14 +-
 mixOmics-6.1.3/mixOmics/R/plotDiablo.R              |    2 
 mixOmics-6.1.3/mixOmics/R/plotIndiv.R               |    2 
 mixOmics-6.1.3/mixOmics/R/plotIndiv.pls.R           |   17 ++-
 mixOmics-6.1.3/mixOmics/R/predict.mint.block.pls.R  |    9 +
 mixOmics-6.1.3/mixOmics/R/print.methods.R           |    8 -
 mixOmics-6.1.3/mixOmics/R/spca.R                    |  103 +++++++++---------
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 mixOmics-6.1.3/mixOmics/R/tune.splslevel.R          |    4 
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 mixOmics-6.1.3/mixOmics/man/mint.splsda.Rd          |   14 +-
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 mixOmics-6.1.3/mixOmics/man/network.Rd              |   12 +-
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 mixOmics-6.1.3/mixOmics/man/plotDiablo.Rd           |    3 
 mixOmics-6.1.3/mixOmics/man/plotIndiv.Rd            |   53 +++++++--
 mixOmics-6.1.3/mixOmics/man/pls.Rd                  |   18 +--
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 mixOmics-6.1.3/mixOmics/man/stemcells.Rd            |    2 
 mixOmics-6.1.3/mixOmics/man/tune.Rd                 |   33 ++++-
 mixOmics-6.1.3/mixOmics/man/tune.block.splsda.Rd    |   25 +++-
 mixOmics-6.1.3/mixOmics/man/tune.mint.splsda.Rd     |   10 +
 mixOmics-6.1.3/mixOmics/man/tune.multilevel.Rd      |   23 ++--
 mixOmics-6.1.3/mixOmics/man/tune.splsda.Rd          |   28 +++--
 mixOmics-6.1.3/mixOmics/man/wrapper.rgcca.Rd        |    2 
 mixOmics-6.1.3/mixOmics/man/wrapper.sgcca.Rd        |    8 +
 60 files changed, 652 insertions(+), 368 deletions(-)

More information about mixOmics at CRAN
Permanent link

Package jomo updated to version 2.4-0 with previous version 2.3-1 dated 2016-11-03

Title: Multilevel Joint Modelling Multiple Imputation
Description: Similarly to Schafer's package 'pan', 'jomo' is a package for multilevel joint modelling multiple imputation. Novel aspects of 'jomo' are the possibility of handling binary and categorical data through latent normal variables, the option to use cluster-specific covariance matrices and to impute compatibly with the substantive model.
Author: Matteo Quartagno, James Carpenter
Maintainer: Matteo Quartagno <matteo.quartagno@lshtm.ac.uk>

Diff between jomo versions 2.3-1 dated 2016-11-03 and 2.4-0 dated 2017-05-11

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 75 files changed, 156 insertions(+), 85 deletions(-)

More information about jomo at CRAN
Permanent link

Package tmap updated to version 1.10 with previous version 1.8-1 dated 2017-01-29

Title: Thematic Maps
Description: Thematic maps are geographical maps in which spatial data distributions are visualized. This package offers a flexible, layer-based, and easy to use approach to create thematic maps, such as choropleths and bubble maps.
Author: Martijn Tennekes [aut, cre], Joel Gombin [ctb], Sebastian Jeworutzki [ctb], Kent Russell [ctb], Richard Zijdeman [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap versions 1.8-1 dated 2017-01-29 and 1.10 dated 2017-05-11

 tmap-1.10/tmap/DESCRIPTION                    |   14 
 tmap-1.10/tmap/MD5                            |  270 +---
 tmap-1.10/tmap/NAMESPACE                      |  251 +--
 tmap-1.10/tmap/NEWS                           |  260 ++--
 tmap-1.10/tmap/R/add_data_to_gps.R            |  122 -
 tmap-1.10/tmap/R/animation_tmap.R             |   76 -
 tmap-1.10/tmap/R/cat2pal.R                    |  147 +-
 tmap-1.10/tmap/R/cat2shape.R                  |  115 -
 tmap-1.10/tmap/R/cellplot.R                   |   24 
 tmap-1.10/tmap/R/facet_functions.R            |   96 -
 tmap-1.10/tmap/R/get_sepia_col.R              |   18 
 tmap-1.10/tmap/R/get_sp_coordinates.R         |   94 -
 tmap-1.10/tmap/R/grid_shp.R                   |   86 -
 tmap-1.10/tmap/R/gridplot.R                   |  367 ++---
 tmap-1.10/tmap/R/grob_mod.R                   |   36 
 tmap-1.10/tmap/R/is_num_string.R              |    6 
 tmap-1.10/tmap/R/legend_hist.R                |  308 ++--
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 tmap-1.10/tmap/R/lines_midpoints.R            |   72 -
 tmap-1.10/tmap/R/meta_plot.R                  | 1250 +++++++++----------
 tmap-1.10/tmap/R/meta_plot_items.R            | 1665 ++++++++++++--------------
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 tmap-1.10/tmap/man/tm_polygons.Rd             |  367 ++---
 tmap-1.10/tmap/man/tm_raster.Rd               |  265 ++--
 tmap-1.10/tmap/man/tm_scale_bar.Rd            |   93 -
 tmap-1.10/tmap/man/tm_shape.Rd                |  213 +--
 tmap-1.10/tmap/man/tm_symbols.Rd              |  642 +++++-----
 tmap-1.10/tmap/man/tm_text.Rd                 |  361 ++---
 tmap-1.10/tmap/man/tm_view.Rd                 |  160 +-
 tmap-1.10/tmap/man/tmap-element.Rd            |   85 -
 tmap-1.10/tmap/man/tmap-package.Rd            |  262 ++--
 tmap-1.10/tmap/man/tmap_arrange.Rd            |   79 -
 tmap-1.10/tmap/man/tmap_icons.Rd              |   73 -
 tmap-1.10/tmap/man/tmap_leaflet.Rd            |  119 -
 tmap-1.10/tmap/man/tmap_mode.Rd               |  163 +-
 tmap-1.10/tmap/man/tmap_options.Rd            |only
 tmap-1.10/tmap/man/tmap_style.Rd              |   67 -
 tmap-1.10/tmap/vignettes/tmap-modes.Rmd       |  150 +-
 tmap-1.10/tmap/vignettes/tmap-nutshell.Rmd    |  748 +++++------
 tmap-1.8-1/tmap/vignettes/tmap-nutshell_files |only
 127 files changed, 18020 insertions(+), 17534 deletions(-)

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New package pawls with initial version 1.0.0
Package: pawls
Type: Package
Title: Penalized Adaptive Weighted Least Squares Regression
Version: 1.0.0
Date: 2017-05-01
Author: Bin Luo, Xiaoli Gao
Maintainer: Bin Luo <b_luo@uncg.edu>
Description: Efficient algorithms for fitting weighted least squares regression with \eqn{L_{1}}{L1} regularization on both the coefficients and weight vectors, which is able to perform simultaneous variable selection and outliers detection efficiently.
Imports:
License: GPL-2
Suggests: mvtnorm
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-05-11 02:05:39 UTC; Administrator
Repository: CRAN
Date/Publication: 2017-05-11 05:51:57 UTC

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Package LEGIT updated to version 1.1.0 with previous version 1.0.4 dated 2017-04-17

Title: Latent Environmental & Genetic InTeraction (LEGIT) Model
Description: Constructs genotype x environment interaction (GxE) models where G is a weighted sum of genetic variants (genetic score) and E is a weighted sum of environments (environmental score) using the alternating optimization algorithm by Jolicoeur-Martineau et al. (2017) <arXiv:1703.08111>. This approach has greatly enhanced predictive power over traditional GxE models which include only a single genetic variant and a single environmental exposure. Although this approach was originally made for GxE modelling, it is flexible and does not require the use of genetic and environmental variables. It can also handle more than 2 latent variables (rather than just G and E) and 3-way interactions or more. The LEGIT model produces highly interpretable results and is very parameter-efficient thus it can even be used with small sample sizes (n < 250).
Author: Alexia Jolicoeur-Martineau <alexia.jolicoeur-martineau@mail.mcgill.ca>
Maintainer: Alexia Jolicoeur-Martineau <alexia.jolicoeur-martineau@mail.mcgill.ca>

Diff between LEGIT versions 1.0.4 dated 2017-04-17 and 1.1.0 dated 2017-05-11

 DESCRIPTION                 |    8 
 MD5                         |   32 -
 NAMESPACE                   |    7 
 R/LEGIT.R                   | 1329 ++++++++++++++++++++++++++++++++++++++++----
 inst/doc/LEGIT.R            |   20 
 inst/doc/LEGIT.Rmd          |   74 ++
 inst/doc/LEGIT.html         |  249 +++++++-
 man/IMLEGIT.Rd              |    6 
 man/IMLEGIT_cv.Rd           |    4 
 man/LEGIT.Rd                |    2 
 man/LEGIT_cv.Rd             |    2 
 man/backward_step.Rd        |    8 
 man/backward_step_IM.Rd     |only
 man/bootstrap_var_select.Rd |only
 man/forward_step.Rd         |    2 
 man/forward_step_IM.Rd      |only
 man/stepwise_search.Rd      |   16 
 man/stepwise_search_IM.Rd   |only
 vignettes/LEGIT.Rmd         |   74 ++
 19 files changed, 1666 insertions(+), 167 deletions(-)

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New package iECAT with initial version 0.8
Package: iECAT
Type: Package
Title: Integrating External Controls into Association Test
Version: 0.8
Date: 2017-05-10
Author: Seunggeun (Shawn) Lee
Maintainer: Seunggeun (Shawn) Lee <leeshawn@umich.edu>
Description: Functions for single-variant and region-based tests with external control samples. These methods use external study samples as control samples with adjusting for possible batch effects.
License: GPL (>= 2)
Depends: R (>= 2.13.0)
Imports: MetaSKAT, SKAT (>= 1.2.0)
NeedsCompilation: no
Packaged: 2017-05-10 19:56:36 UTC; LEE7801
Repository: CRAN
Date/Publication: 2017-05-11 05:59:26 UTC

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Package fastJT updated to version 1.0.3 with previous version 1.0.2 dated 2017-02-20

Title: Efficient Jonckheere-Terpstra Test Statistics for Robust Machine Learning and Genome-Wide Association Studies
Description: This 'Rcpp'-based package implements highly efficient functions for the calculation of the Jonckheere-Terpstra statistic. It can be used for a variety of applications, including feature selection in machine learning problems, or to conduct genome-wide association studies (GWAS) with multiple quantitative phenotypes. The code leverages 'OpenMP' directives for multi-core computing to reduce overall processing time.
Author: Jiaxing Lin, Alexander Sibley, Ivo Shterev, and Kouros Owzar
Maintainer: Jiaxing Lin <jiaxing.lin@duke.edu>

Diff between fastJT versions 1.0.2 dated 2017-02-20 and 1.0.3 dated 2017-05-11

 DESCRIPTION           |    8 ++++----
 MD5                   |   16 ++++++++--------
 NEWS                  |    4 ++++
 R/fastJT.R            |    6 ++++++
 build/vignette.rds    |binary
 inst/doc/fastJT.Rnw   |    2 +-
 inst/doc/fastJT.pdf   |binary
 man/fastJT-package.Rd |    4 ++--
 vignettes/fastJT.Rnw  |    2 +-
 9 files changed, 26 insertions(+), 16 deletions(-)

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