Thu, 12 Feb 2015

Package vows updated to version 0.4 with previous version 0.3.1 dated 2015-01-08

Title: Voxelwise Semiparametrics
Description: Parametric and semiparametric inference for massively parallel models, i.e., a large number of models with common design matrix, as often occurs with brain imaging data.
Author: Philip Reiss, Yin-Hsiu Chen, Lei Huang, Lan Huo, Ruixin Tan, and Rong Jiao
Maintainer: Philip Reiss

Diff between vows versions 0.3.1 dated 2015-01-08 and 0.4 dated 2015-02-12

 vows-0.3.1/vows/R/vows_0.3-package.R |only
 vows-0.4/vows/DESCRIPTION            |   15 --
 vows-0.4/vows/MD5                    |   74 +++++-----
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 vows-0.4/vows/R/nii2R.R              |  178 ++++++++++++------------
 vows-0.4/vows/R/rlrt4d.R             |   73 +++++-----
 vows-0.4/vows/R/vows-internal.R      |  135 +++++++++---------
 vows-0.4/vows/R/vows-mgcv.R          |  250 +++++++++++++++++------------------
 vows-0.4/vows/R/vows_0.4-package.R   |only
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Package StereoMorph updated to version 1.3 with previous version 1.2.1 dated 2014-09-02

Title: Stereo Camera Calibration and Reconstruction
Description: Functions for the collection of 3D points and curves using a stereo camera setup.
Author: Aaron Olsen, Annat Haber
Maintainer: Aaron Olsen

Diff between StereoMorph versions 1.2.1 dated 2014-09-02 and 1.3 dated 2015-02-12

 DESCRIPTION                                             |   13 
 MD5                                                     |   42 +-
 NAMESPACE                                               |   22 +
 R/digitizeImage.R                                       |   40 +-
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 23 files changed, 552 insertions(+), 180 deletions(-)

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Package SphericalK updated to version 1.1 with previous version 1.0 dated 2014-11-26

Title: Spherical K-Function
Description: Spherical K-function for point-pattern analysis on the sphere.
Author: Scott Robeson, Ao Li, Chunfeng Huang
Maintainer: Ao Li

Diff between SphericalK versions 1.0 dated 2014-11-26 and 1.1 dated 2015-02-12

 DESCRIPTION               |   12 ++++++------
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 10 files changed, 27 insertions(+), 26 deletions(-)

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Package poplite updated to version 0.99.16 with previous version 0.99.5 dated 2014-11-05

Title: Tools for Simplifying the Population and Querying of SQLite Databases
Description: Provides objects and accompanying methods which facilitates populating and querying SQLite databases.
Author: Daniel Bottomly [cre, aut], Shannon McWeeney [aut], Beth Wilmot [aut]
Maintainer: Daniel Bottomly

Diff between poplite versions 0.99.5 dated 2014-11-05 and 0.99.16 dated 2015-02-12

 DESCRIPTION                   |   22 +-
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New package PDQutils with initial version 0.1.0
Package: PDQutils
Maintainer: Steven E. Pav
Authors@R: c(person(c("Steven", "E."), "Pav", role=c("aut","cre"), email="shabbychef@gmail.com"))
Version: 0.1.0
Date: 2015-02-12
License: LGPL-3
Title: PDQ Functions via Gram Charlier and Cornish Fisher Approximations
BugReports: https://github.com/shabbychef/PDQutils/issues
Description: A collection of tools for approximating the 'PDQ' functions (respectively, the cumulative distribution, density, and quantile) of probability distributions via classical expansions involving moments and cumulants.
Depends: R (>= 3.0.2)
Imports: orthopolynom, moments
Suggests: testthat, knitr
URL: https://github.com/shabbychef/PDQutils
VignetteBuilder: knitr
Collate: 'appx.r' 'moments.r' 'PDQutils.r'
Packaged: 2015-02-12 18:43:44 UTC; spav
Author: Steven E. Pav [aut, cre]
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-02-12 22:59:25

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New package FastKNN with initial version 0.0.1
Package: FastKNN
Type: Package
Title: Fast k-Nearest Neighbors
Version: 0.0.1
Date: 2015-02-11
Author: Gaston Besanson
Maintainer: Gaston Besanson
Description: Compute labels for a test set according to the k-Nearest Neighbors classification. This is a fast way to do k-Nearest Neighbors classification because the distance matrix -between the features of the observations- is an input to the function rather than being calculated in the function itself every time.
License: GPL-3
Imports: pdist, assertthat
Packaged: 2015-02-12 18:39:41 UTC; DON
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-02-12 22:37:24

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Package geomorph updated to version 2.1.3 with previous version 2.1.2 dated 2014-11-04

Title: Geometric Morphometric Analyses of 2d/3D Landmark Data
Description: Geomorph allows users to read, manipulate, and digitize landmark data, generate shape variables via Procrustes analysis for points, curves and surfaces, perform shape analyses, and provide graphical depictions of shapes and patterns of shape variation.
Author: Dean Adams, Michael Collyer, Erik Otarola-Castillo, Emma Sherratt
Maintainer: Dean Adams

Diff between geomorph versions 2.1.2 dated 2014-11-04 and 2.1.3 dated 2015-02-12

 geomorph-2.1.2/geomorph/R/plotAllometry.r                 |only
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 98 files changed, 1790 insertions(+), 1446 deletions(-)

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Package MXM updated to version 0.3 with previous version 0.2.1 dated 2014-08-04

Title: Discovering Multiple, Statistically-Equivalent Signatures
Description: Feature selection methods for identifying minimal, statistically-equivalent and equally-predictive feature subsets. MXM stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin.
Author: Ioannis Tsamardinos, Vincenzo Lagani, Giorgos Borboudakis, Giorgos Athineou
Maintainer: Giorgos Athineou

Diff between MXM versions 0.2.1 dated 2014-08-04 and 0.3 dated 2015-02-12

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Package MTS updated to version 0.33 with previous version 0.32 dated 2014-03-01

Title: All-Purpose Toolkit for Analyzing Multivariate Time Series (MTS) and Estimating Multivariate Volatility Models
Description: Multivariate Time Series (MTS) is a general package for analyzing multivariate linear time series and estimating multivariate volatility models. It also handles factor models, constrained factor models, asymptotic principal component analysis commonly used in finance and econometrics, and principal volatility component analysis. (a) For the multivariate linear time series analysis, the package performs model specification, estimation, model checking, and prediction for many widely used models, including vector AR models, vector MA models, vector ARMA models, seasonal vector ARMA models, VAR models with exogenous variables, multivariate regression models with time series errors, augmented VAR models, and Error-correction VAR models for co-integrated time series. For model specification, the package performs structural specification to overcome the difficulties of identifiability of VARMA models. The methods used for structural specification include Kronecker indices and Scalar Component Models. (b) For multivariate volatility modeling, the MTS package handles several commonly used models, including multivariate exponentially weighted moving-average volatility, Cholesky decomposition volatility models, dynamic conditional correlation (DCC) models, copula-based volatility models, and low-dimensional BEKK models. The package also considers multiple tests for conditional heteroscedasticity, including rank-based statistics. (c) Finally, the MTS package also performs forecasting using diffusion index, transfer function analysis, Bayesian estimation of VAR models, and multivariate time series analysis with missing values.Users can also use the package to simulate VARMA models, to compute impulse response functions of a fitted VARMA model, and to calculate theoretical cross-covariance matrices of a given VARMA model.
Author: Ruey S. Tsay
Maintainer: Ruey S. Tsay

Diff between MTS versions 0.32 dated 2014-03-01 and 0.33 dated 2015-02-12

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Package mboost updated to version 2.4-2 with previous version 2.4-1 dated 2014-12-15

Title: Model-Based Boosting
Description: Functional gradient descent algorithm (boosting) for optimizing general risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data.
Author: Torsten Hothorn [aut, cre], Peter Buehlmann [aut], Thomas Kneib [aut], Matthias Schmid [aut], Benjamin Hofner [aut], Fabian Sobotka [ctb], Fabian Scheipl [ctb]
Maintainer: Torsten Hothorn

Diff between mboost versions 2.4-1 dated 2014-12-15 and 2.4-2 dated 2015-02-12

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Package gaselect updated to version 1.0.5 with previous version 1.0.4 dated 2015-02-10

Title: Genetic Algorithm (GA) for Variable Selection from High-Dimensional Data
Description: Provides a genetic algorithm for finding variable subsets in high dimensional data with high prediction performance. The genetic algorithm can use ordinary least squares (OLS) regression models or partial least squares (PLS) regression models to evaluate the prediction power of variable subsets. By supporting different cross-validation schemes, the user can fine-tune the tradeoff between speed and quality of the solution.
Author: David Kepplinger
Maintainer: David Kepplinger

Diff between gaselect versions 1.0.4 dated 2015-02-10 and 1.0.5 dated 2015-02-12

 ChangeLog            |    4 ++++
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Package BAT updated to version 1.2 with previous version 1.1 dated 2015-01-13

Title: Biodiversity Assessment Tools
Description: Includes algorithms to assess alpha and beta diversity in all their dimensions (taxon, phylogenetic and functional diversity), whether communities are completely sampled or not. It allows performing a number of analyses based on either species identities or ultrametric trees depicting species relationships.
Author: Pedro Cardoso, Francois Rigal, Jose Carlos Carvalho
Maintainer: Pedro Cardoso

Diff between BAT versions 1.1 dated 2015-01-13 and 1.2 dated 2015-02-12

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Package glmm updated to version 1.0.1 with previous version 1.0 dated 2015-02-11

Title: Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation
Description: Approximates the likelihood of a generalized linear mixed model using Monte Carlo likelihood approximation. Then maximizes the likelihood approximation to return maximum likelihood estimates, observed Fisher information, and other model information.
Author: Christina Knudson
Maintainer: Christina Knudson

Diff between glmm versions 1.0 dated 2015-02-11 and 1.0.1 dated 2015-02-12

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Package geigen updated to version 1.5 with previous version 1.4 dated 2014-08-18

Title: Calculate Generalized Eigenvalues of a Matrix Pair
Description: Compute generalized eigenvalues and eigenvectors of a pair of matrices, using routines from Lapack (dggev and zggev). Compute the generalized Schur decomposition of a pair of matrices using Lapack routines. In the latter case options for ordering the generalized eigenvalues are provided.
Author: Berend Hasselman, Lapack authors
Maintainer: Berend Hasselman

Diff between geigen versions 1.4 dated 2014-08-18 and 1.5 dated 2015-02-12

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 8 files changed, 44 insertions(+), 39 deletions(-)

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Package estimability updated to version 1.1 with previous version 1.0-2 dated 2015-01-31

Title: Estimability Tools for Linear Models
Description: Provides tools for determining estimability of linear functions of regression coefficients, and 'epredict' methods that handle non-estimable cases correctly.
Author: Russell V. Lenth
Maintainer: Russell V. Lenth

Diff between estimability versions 1.0-2 dated 2015-01-31 and 1.1 dated 2015-02-12

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 R/estimability.R    |   30 +++++++++++++++----
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 man/nonest.basis.Rd |   38 +++++++++++++++++--------
 8 files changed, 174 insertions(+), 78 deletions(-)

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