Sat, 10 Oct 2015

Package urltools updated to version 1.3.2 with previous version 1.3.1 dated 2015-10-07

Title: Vectorised Tools for URL Handling and Parsing
Description: A toolkit for handling URLs that so far includes functions for URL encoding and decoding, parsing, and parameter extraction. All functions are designed to be both fast and entirely vectorised. It is intended to be useful for people dealing with web-related datasets, such as server-side logs, although may be useful for other situations involving large sets of URLs.
Author: Oliver Keyes [aut, cre], Jay Jacobs [aut, cre], Mark Greenaway [ctb], Bob Rudis [ctb]
Maintainer: Oliver Keyes <ironholds@gmail.com>

Diff between urltools versions 1.3.1 dated 2015-10-07 and 1.3.2 dated 2015-10-10

 DESCRIPTION                   |    8 ++++----
 MD5                           |   10 +++++-----
 NEWS                          |    7 +++++++
 README.md                     |    2 +-
 src/parsing.cpp               |    3 ++-
 tests/testthat/test_parsing.R |    6 ++++++
 6 files changed, 25 insertions(+), 11 deletions(-)

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Package NonpModelCheck updated to version 2.0 with previous version 1.0 dated 2012-09-22

Title: Model Checking and Variable Selection in Nonparametric Regression
Description: Provides tests of significance for covariates (or groups of covariates) in a fully nonparametric regression model and a variable (or group) selection procedure based on False Discovery Rate. In addition, it provides a function for local polynomial regression for any number of dimensions, using a bandwidth specified by the user or automatically chosen by cross validation or an adaptive procedure.
Author: Adriano Zanin Zambom
Maintainer: Adriano Zanin Zambom <adriano.zambom@gmail.com>

Diff between NonpModelCheck versions 1.0 dated 2012-09-22 and 2.0 dated 2015-10-10

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 NAMESPACE                   |    5 
 R/group.npvarselec.R        |  935 +++++++++++++++++++++-----------------------
 R/localpoly.reg.R           |  481 +++++++++++-----------
 R/npmodelcheck.R            |  485 +++++++++++-----------
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 16 files changed, 1435 insertions(+), 1464 deletions(-)

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New package MVT with initial version 0.3
Package: MVT
Version: 0.3
Date: 2015-10-09
Title: Estimation and Testing for the Multivariate t-Distribution
Author: Felipe Osorio
Maintainer: Felipe Osorio <felipe.osorio@ucv.cl>
Description: Routines to perform estimation and inference under the multivariate t-distribution. Currently, the following methodologies are implemented: multivariate mean and covariance estimation, hypothesis testing about the mean, equicorrelation and homogeneity of variances, the Wilson-Hilferty transformation, QQ-plots with envelopes and random variate generation. Some auxiliary functions are also provided.
Imports: stats, utils, graphics
Suggests: heavy
License: GPL (>= 2)
URL: http://www.ies.ucv.cl/mvt/
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2015-10-10 13:25:30 UTC; root
Repository: CRAN
Date/Publication: 2015-10-11 00:12:53

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Package berryFunctions updated to version 1.9.0 with previous version 1.8.1 dated 2015-06-03

Title: Function Collection Related to Plotting and Hydrology
Description: Draw horizontal histograms, color scatterpoints by 3rd dimension, enhance date- and log-axis plots, zoom in X11 graphics, use the unit hydrograph in a linear storage cascade, convert lists to data.frames, fit multiple functions by regression (power, reciprocal, exponential, logarithmic, polynomial, rational).
Author: Berry Boessenkool
Maintainer: Berry Boessenkool <berry-b@gmx.de>

Diff between berryFunctions versions 1.8.1 dated 2015-06-03 and 1.9.0 dated 2015-10-10

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 berryFunctions-1.9.0/berryFunctions/R/exp4p.r                     |   20 
 berryFunctions-1.9.0/berryFunctions/R/linLogHist.R                |    3 
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 berryFunctions-1.9.0/berryFunctions/R/linReg.R                    |   24 
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Package BcDiag updated to version 1.0.9 with previous version 1.0.8 dated 2015-01-22

Title: Diagnostics Plots for Bicluster Data
Description: Diagnostic tools based on two-way anova and median-polish residual plots for Bicluster output obtained from packages; "biclust" by Kaiser et al.(2008),"isa2" by Csardi et al. (2010) and "fabia" by Hochreiter et al. (2010). Moreover, It provides visualization tools for bicluster output and corresponding non-bicluster rows- or columns outcomes. It has also extended the idea of Kaiser et al.(2008) which is, extracting bicluster output in a text format, by adding two bicluster methods from the fabia and isa2 R packages.
Author: Aregay Mengsteab, Martin Otava, Tatsiana Khamiakova, Ewoud De Troyer
Maintainer: Ewoud De Troyer <ewoud.detroyer@uhasselt.be>

Diff between BcDiag versions 1.0.8 dated 2015-01-22 and 1.0.9 dated 2015-10-10

 DESCRIPTION       |   16 +++++++--------
 MD5               |    8 +++----
 NAMESPACE         |    4 +++
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 5 files changed, 72 insertions(+), 17 deletions(-)

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New package SparseLearner with initial version 1.0
Package: SparseLearner
Title: Sparse Learning Algorithms Using a LASSO-Type Penalty for Coefficient Estimation and Model Prediction
Version: 1.0
Author: Pi Guo, Yuantao Hao
Maintainer: Pi Guo <guopi.01@163.com>
Description: Performs the LASSO-type sparse learning algorithm and its improved versions such as Bolasso, bootstrap ranking LASSO, two-stage hybrid LASSO and so on for coefficient estimation and model prediction. These estimation procedures are applied in the fields of variable selection, graphical modeling and model prediction.
Depends: R (>= 3.0.2),glmnet,SiZer,datasets,lqa,qgraph,SIS
License: GPL-2
LazyData: true
Packaged: 2015-10-09 23:22:55 UTC; Administrator
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-10-10 23:08:00

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Package NCA updated to version 1.1 with previous version 1.0 dated 2015-07-02

Title: Necessary Condition Analysis
Description: Performs a Necessary Condition Analysis (NCA). (Dul, J. 2015. Necessary Condition Analysis (NCA). ''Logic and Methodology of 'Necessary but not Sufficient' causality." Organizational Research Methods) 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 1.0 dated 2015-07-02 and 1.1 dated 2015-10-10

 NCA-1.0/NCA/R/p_bottleneck_fdh.R     |only
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 NCA-1.1/NCA/R/nca_cr_vrs.R           |   34 +++++++++-------
 NCA-1.1/NCA/R/nca_lh.R               |    2 
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 NCA-1.1/NCA/R/nca_qr.R               |    9 ++--
 NCA-1.1/NCA/R/nca_sfa.R              |   26 ++++++++++--
 NCA-1.1/NCA/R/onAttach.R             |    2 
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Package lsmeans updated to version 2.20-23 with previous version 2.20-2 dated 2015-09-02

Title: Least-Squares Means
Description: Obtain least-squares means for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of least-squares means, and comparisons of slopes. Plots and compact letter displays.
Author: Russell Lenth [aut, cre], Maxime Herv\'e [ctb]
Maintainer: Russell Lenth <russell-lenth@uiowa.edu>

Diff between lsmeans versions 2.20-2 dated 2015-09-02 and 2.20-23 dated 2015-10-10

 DESCRIPTION                 |    8 +++---
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Package gdalUtils updated to version 2.0.1.7 with previous version 2.0.1.5 dated 2015-10-04

Title: Wrappers for the Geospatial Data Abstraction Library (GDAL) Utilities
Description: Wrappers for the Geospatial Data Abstraction Library (GDAL) Utilities.
Author: Jonathan Asher Greenberg and Matteo Mattiuzzi
Maintainer: Jonathan Asher Greenberg <gdalUtils@estarcion.net>

Diff between gdalUtils versions 2.0.1.5 dated 2015-10-04 and 2.0.1.7 dated 2015-10-10

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 4 files changed, 26 insertions(+), 13 deletions(-)

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Package FSA updated to version 0.8.1 with previous version 0.8.0 dated 2015-10-08

Title: Functions for Simple Fisheries Stock Assessment Methods
Description: Functions to perform a variety of simple fish stock assessment methods. Detailed vignettes are available on the fishR website listed below.
Author: Derek Ogle [aut, cre]
Maintainer: Derek Ogle <derek@derekogle.com>

Diff between FSA versions 0.8.0 dated 2015-10-08 and 0.8.1 dated 2015-10-10

 DESCRIPTION                                    |   10 ++--
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 NAMESPACE                                      |    5 ++
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Package wsrf updated to version 1.5.29 with previous version 1.5.24 dated 2015-07-07

Title: Weighted Subspace Random Forest for Classification
Description: A parallel implementation of Weighted Subspace Random Forest. The Weighted Subspace Random Forest algorithm was proposed in the International Journal of Data Warehousing and Mining, 8(2):44-63, 2012, proposed by Baoxun Xu, Joshua Zhexue Huang, Graham Williams, Qiang Wang, and Yunming Ye. The algorithm can classify very high-dimensional data with random forests built using small subspaces. A novel variable weighting method is used for variable subspace selection in place of the traditional random variable sampling.This new approach is particularly useful in building models from high-dimensional data.
Author: Qinghan Meng [aut], He Zhao [aut, cre], Graham Williams [aut], Junchao Lv [ctb], Baoxun Xu [aut]
Maintainer: He Zhao <Simon.Yansen.Zhao@gmail.com>

Diff between wsrf versions 1.5.24 dated 2015-07-07 and 1.5.29 dated 2015-10-10

 DESCRIPTION              |    8 ++++----
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New package sisal with initial version 0.46
Encoding: UTF-8
Package: sisal
Type: Package
Title: Sequential Input Selection Algorithm
Version: 0.46
Date: 2015-10-10
Authors@R: person("Mikko", "Korpela", role = c("aut", "cre"), email = "mvkorpel@iki.fi")
Author: Mikko Korpela [aut, cre]
Maintainer: Mikko Korpela <mvkorpel@iki.fi>
Copyright: Aalto University
Depends: R (>= 3.1.2)
Imports: graphics, grDevices, grid, methods, stats, utils, boot, lattice, mgcv, digest, R.matlab, R.methodsS3
Suggests: graph, Rgraphviz, testthat (>= 0.8)
Description: Implements the SISAL algorithm by Tikka and Hollmén. It is a sequential backward selection algorithm which uses a linear model in a cross-validation setting. Starting from the full model, one variable at a time is removed based on the regression coefficients. From this set of models, a parsimonious (sparse) model is found by choosing the model with the smallest number of variables among those models where the validation error is smaller than a threshold. Also implements extensions which explore larger parts of the search space and/or use ridge regression instead of ordinary least squares.
License: GPL (>= 2)
LazyData: yes
NeedsCompilation: no
Packaged: 2015-10-10 06:19:10 UTC; mvkorpel
Repository: CRAN
Date/Publication: 2015-10-10 15:45:32

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