Mon, 05 May 2014

Package wtcrsk updated to version 1.3 with previous version 1.2 dated 2014-04-30

Title: Competing risks regression models with covariate-adjusted censoring weight
Description: Estimation and regression modeling of subdistribution functions for competing risks data with adjustment for covariate-dependent censoring, as described in He et al. (2013).
Author: Peng He
Maintainer: Peng He

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Package sem updated to version 3.1-4 with previous version 3.1-3 dated 2013-04-09

Title: Structural Equation Models
Description: This package contains functions for fitting general linear structural equation models (with observed and unobserved variables) using the RAM approach, and for fitting structural equations in observed-variable models by two-stage least squares.
Author: John Fox [aut, cre], Zhenghua Nie [aut], Jarrett Byrnes [aut], Michael Culbertson [ctb], Saikat DebRoy [ctb], Michael Friendly [ctb], Richard H. Jones [ctb], Adam Kramer [ctb], Georges Monette [ctb], R-Core [ctb]
Maintainer: John Fox

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Package enaR updated to version 2.6 with previous version 2.5 dated 2013-11-08

Title: Tools for ecological network analysis (ena) in R
Description: Functions for the analysis of ecological networks
Author: M.K. Lau, S.R. Borrett, D.E. Hines
Maintainer: Matthew K. Lau

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Package copula updated to version 0.999-9 with previous version 0.999-8 dated 2014-02-04

Title: Multivariate Dependence with Copulas
Description: Classes (S4) of commonly used elliptical, Archimedean, extreme value and some more copula families. Methods for density, distribution, random number generation, bivariate dependence measures, perspective and contour plots. Fitting copula models including variance estimates. Independence and serial (univariate and multivariate) independence tests, and other copula related tests. Empirical copula and multivariate CDF. Goodness-of-fit tests for copulas based on multipliers, the parametric bootstrap with several transformation options. Merged former package 'nacopula' for nested Archimedean copulas: Efficient sampling algorithms, various estimators, goodness-of-fit tests and related tools and special functions.
Author: Marius Hofert , Ivan Kojadinovic , Martin Maechler , and Jun Yan
Maintainer: Martin Maechler

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New package GUTS with initial version 0.3.5
Package: GUTS
Type: Package
Title: GUTS: Fast Calculation of the Likelihood of a Stochastic Survival Model
Version: 0.3.5
Date: 2014-05-04
Author: Carlo Albert & Sören Vogel
Maintainer: Sören Vogel
Description: Given exposure and survival time series as well as parameter values, GUTS allows for the calculation of the survival probabilities as well as the logarithm of the corresponding likelihood.
License: GPL-3
LazyLoad: yes
Suggests: adaptMCMC (>= 1.1)
Depends: methods, Rcpp (>= 0.11.1)
LinkingTo: Rcpp, BH
RcppModules: modguts
LazyData: no
Encoding: UTF-8
Repository: CRAN
Repository/R-Forge/Project: guts
Repository/R-Forge/Revision: 18
Repository/R-Forge/DateTimeStamp: 2014-05-04 12:10:05
Date/Publication: 2014-05-05 09:06:25
Packaged: 2014-05-04 14:15:13 UTC; rforge
NeedsCompilation: yes

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Package polyclip updated to version 1.3-0 with previous version 1.2-0 dated 2013-11-21

Title: Polygon Clipping
Description: R port of the Clipper library. Performs polygon clipping operations (intersection, union, set minus, set difference) for polygonal regions of arbitrary complexity, including holes. Also computes offset polygons (spatial buffer zones, morphological dilations, Minkowski dilations) for polygonal regions and polygonal lines.
Author: Angus Johnson. Ported to R by Adrian Baddeley and Brian Ripley.
Maintainer: Adrian Baddeley

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Package mvtnorm updated to version 0.9-99992 with previous version 0.9-99991 dated 2014-04-25

Title: Multivariate Normal and t Distributions
Description: Computes multivariate normal and t probabilities, quantiles, random deviates and densities.
Author: Alan Genz, Frank Bretz, Tetsuhisa Miwa, Xuefei Mi, Friedrich Leisch, Fabian Scheipl, Bjoern Bornkamp, Martin Maechler, Torsten Hothorn
Maintainer: Torsten Hothorn

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Package metafor updated to version 1.9-3 with previous version 1.9-2 dated 2013-10-07

Title: Meta-Analysis Package for R
Description: The metafor package provides a comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbe, Baujat plots). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Peto's method, and a variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects (conditional) logistic and Poisson regression models). Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network meta-analyses and meta-analyses accounting for known correlation structures (e.g., due to phylogenetic relatedness) can also be conducted.
Author: Wolfgang Viechtbauer
Maintainer: Wolfgang Viechtbauer

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Package googleVis updated to version 0.5.2 with previous version 0.5.1 dated 2014-04-13

Title: Interface between R and the Google Chart Tools
Description: The googleVis package provides an interface between R and the Google Chart Tools API. It allows users to create web pages with interactive charts based on R data frames, using the Google Chart Tools and to display them either via the local R HTTP help server or within their own sites, without uploading the data to Google. A modern browser with Internet connection is required and for some charts Flash. Please visit the project web site for more information and examples.
Author: Markus Gesmann [aut, cre], Diego de Castillo [aut], Joe Cheng [ctb]
Maintainer: Markus Gesmann

Diff between googleVis versions 0.5.1 dated 2014-04-13 and 0.5.2 dated 2014-05-05

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More information about googleVis at CRAN
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Package truncSP updated to version 1.2.2 with previous version 1.2.1 dated 2013-11-20

Title: Semi-parametric estimators of truncated regression models
Description: Semi-parametric estimation of truncated linear regression models
Author: Anita Lindmark and Maria Karlsson, Department of Statistics, Umea University
Maintainer: Anita Lindmark

Diff between truncSP versions 1.2.1 dated 2013-11-20 and 1.2.2 dated 2014-05-05

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Package REdaS updated to version 0.9.1 with previous version 0.9.0 dated 2014-04-23

Title: Companion Package to the Book “R: Einführung durch angewandte Statistik”
Description: This package provides functions used in the second edition of “R: Einführung durch angewandte Statistik”.
Author: Marco Johannes Maier [cre, aut]
Maintainer: Marco Johannes Maier

Diff between REdaS versions 0.9.0 dated 2014-04-23 and 0.9.1 dated 2014-05-05

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Package yuima updated to version 1.0.21 with previous version 1.0.10 dated 2014-04-22

Title: The YUIMA Project package for SDEs
Description: Simulation and Inference for Stochastic Differential Equations
Author: YUIMA Project Team
Maintainer: Stefano Maria Iacus

Diff between yuima versions 1.0.10 dated 2014-04-22 and 1.0.21 dated 2014-05-05

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Package SSDforR updated to version 1.4.4 with previous version 1.4.3 dated 2014-04-03

Title: SSD for R to analyze single system data
Description: Package to visually and statistically analyze single system data
Author: Charles Auerbach,PHD Wendy Zeitlin Schudrich,PHD Wurzweiler School of Social Work
Maintainer: Charles Auerbach

Diff between SSDforR versions 1.4.3 dated 2014-04-03 and 1.4.4 dated 2014-05-05

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Package RcppArmadillo updated to version 0.4.300.0 with previous version 0.4.200.0 dated 2014-04-07

Title: Rcpp integration for Armadillo templated linear algebra library
Description: R and Armadillo integration using Rcpp Armadillo is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. A delayed evaluation approach is employed (during compile time) to combine several operations into one, and to reduce (or eliminate) the need for temporaries. This is accomplished through recursive templates and template meta-programming. This library is useful if C++ has been decided as the language of choice (due to speed and/or integration capabilities), rather than another language. The RcppArmadillo package includes the header files from the templated Armadillo library. Thus users do not need to install Armadillo itself in order to use RcppArmadillo. This Armadillo integration provides a nice illustration of the capabilities of the Rcpp package for seamless R and C++ integration. Armadillo is licensed under the MPL 2.0, while RcppArmadillo (the Rcpp bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of Rcpp.
Author: Romain Francois, Dirk Eddelbuettel and Doug Bates
Maintainer: Dirk Eddelbuettel

Diff between RcppArmadillo versions 0.4.200.0 dated 2014-04-07 and 0.4.300.0 dated 2014-05-05

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Package phytools updated to version 0.4-05 with previous version 0.3-93 dated 2014-03-03

Title: Phylogenetic Tools for comparative biology (and other things)
Description: phytools provides various functions for phylogenetic analysis, mostly relevant to comparative biology.
Author: Liam J. Revell
Maintainer: Liam J. Revell

Diff between phytools versions 0.3-93 dated 2014-03-03 and 0.4-05 dated 2014-05-05

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More information about phytools at CRAN
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Package optimx updated to version 2014.5.4 with previous version 2013.8.6 dated 2013-08-09

Title: A Replacement and Extension of the optim() Function
Description: Provides a replacement and extension of the optim() function to unify and streamline optimization capabilities in R for smooth, possibly box constrained functions of several or many parameters. This is the CRAN version of the package.
Author: John C Nash [aut, cre], Ravi Varadhan [aut], Gabor Grothendieck [ctb]
Maintainer: John C Nash

Diff between optimx versions 2013.8.6 dated 2013-08-09 and 2014.5.4 dated 2014-05-05

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Package nlmrt updated to version 2013-9.24 with previous version 2013-8.10 dated 2013-08-11

Title: Functions for nonlinear least squares solutions
Description: nlmrt provides tools for working with nonlinear least squares problems using a calling structure similar to, but much simpler than, that of the nls() function. Moreover, where nls() specifically does NOT deal with small or zero residual problems, nlmrt is quite happy to solve them. It also attempts to be more robust in finding solutions, thereby avoiding 'singular gradient' messages that arise in the Gauss-Newton method within nls(). The Marquardt-Nash approach in nlmrt generally works more reliably to get a solution, though this may be one of a set of possibilities, and may also be statistically unsatisfactory. Added print and summary as of August 28, 2012.
Author: John C. Nash [aut, cre]
Maintainer: John C. Nash

Diff between nlmrt versions 2013-8.10 dated 2013-08-11 and 2013-9.24 dated 2014-05-05

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Package MASS updated to version 7.3-33 with previous version 7.3-32 dated 2014-04-27

Title: Support Functions and Datasets for Venables and Ripley's MASS
Description: Functions and datasets to support Venables and Ripley, 'Modern Applied Statistics with S' (4th edition, 2002).
Author: Brian Ripley [aut, cre, cph], Bill Venables [ctb], Douglas M. Bates [ctb], Kurt Hornik [trl] (partial port ca 1998), Albrecht Gebhardt [trl] (partial port ca 1998), David Firth [ctb]
Maintainer: Brian Ripley

Diff between MASS versions 7.3-32 dated 2014-04-27 and 7.3-33 dated 2014-05-05

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New package MCMC.OTU with initial version 1.0.8
Package: MCMC.OTU
Type: Package
Title: Bayesian analysis of multivariate counts data
Version: 1.0.8
Date: 2014-04-27
Author: Mikhail V. Matz
Maintainer: Mikhail V. Matz
Description: This package implements poisson-lognormal generalized linear mixed model analysis of multivariate counts data using MCMC, aiming to infer the changes in relative proportions of individual variables. The package was originally designed for sequence-based analysis of microbial communities ("metabarcoding", variables = operational taxonomic units, OTUs), but can be used for other types of multivariate counts, such as in ecological applications (variables = species). The results are summarized and plotted using ggplot2 functions. Includes functions to remove sample and variable outliers and reformat counts into normalized log-transformed values for correlation and principal component/coordinate analysis. Walkthrough and examples: http://www.bio.utexas.edu/research/matz_lab/matzlab/Methods_files/walkthroughExample_mcmcOTU_R.txt
License: GPL-3
Depends: MCMCglmm,ggplot2
Packaged: 2014-05-04 21:28:02 UTC; c-monster
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-05-05 07:09:39

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Package hglasso updated to version 1.1 with previous version 1.0 dated 2014-03-29

Title: Learning graphical models with hubs
Description: Implements the hub graphical lasso and hub covariance graph proposal by Tan, KM., London, P., Mohan, K., Lee, S-I., Fazel, M., and Witten, D. (2014). Learning graphical models with hubs. arXiv.org/pdf/1402.7349.pdf.
Author: Kean Ming Tan
Maintainer: Kean Ming Tan

Diff between hglasso versions 1.0 dated 2014-03-29 and 1.1 dated 2014-05-05

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New package dams with initial version 0.1
Package: dams
Title: Dams in the United States from the National Inventory of Dams (NID)
Description: The single largest source of dams in the United States is the National Inventory of Dams (NID, http://nid.usace.army.mil) from the US Army Corps of Engineers. Entire data from the NID cannot be obtained all at once and NID's website limits extraction of more than a couple of thousand records at a time. Moreover, selected data from the NID's user interface cannot not be saved to a file. In order to make the analysis of this data easier, all the data from NID was extracted manually. Subsequently, the raw data was checked for potential errors and cleaned. This package provides sample cleaned data from the NID and provides functionality to access the entire cleaned NID data.
Version: 0.1
Author: Gopi Goteti
Maintainer: Gopi Goteti
Imports: RCurl
Suggests: ggplot2, maps, mapproj
License: GPL (>= 2)
LazyData: true
Collate: 'data.r' 'extract_nid.r'
Packaged: 2014-05-05 05:53:24 UTC; ggoteti
Depends: R (>= 2.10)
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-05-05 08:29:15

More information about dams at CRAN
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