Tue, 17 Nov 2009

Package zoo updated to version 1.6-0 with previous version 1.5-8 dated 2009-07-22

Author: Achim Zeileis, Gabor Grothendieck
Title: Z's ordered observations
Description: An S3 class with methods for totally ordered indexed observations. It is particularly aimed at irregular time series of numeric vectors/matrices and factors. zoo's key design goals are independence of a particular index/date/time class and consistency with ts and base R by providing methods to extend standard generics.

Diff between zoo versions 1.5-8 dated 2009-07-22 and 1.6-0 dated 2009-11-17

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More information about zoo at CRAN
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Package sandwich updated to version 2.2-2 with previous version 2.2-1 dated 2009-02-05

Author: Thomas Lumley, Achim Zeileis
Title: Robust Covariance Matrix Estimators
Description: Model-robust standard error estimators for cross-sectional, time series and longitudinal data.

Diff between sandwich versions 2.2-1 dated 2009-02-05 and 2.2-2 dated 2009-11-17

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Package lmtest updated to version 0.9-25 with previous version 0.9-24 dated 2009-05-28

Author: Torsten Hothorn, Achim Zeileis, Giovanni Millo, David Mitchell
Title: Testing Linear Regression Models
Description: A collection of tests, data sets and examples for diagnostic checking in linear regression models.

Diff between lmtest versions 0.9-24 dated 2009-05-28 and 0.9-25 dated 2009-11-17

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Package fxregime updated to version 0.3-1 with previous version 0.3-0 dated 2009-08-28

Author: Achim Zeileis, Ajay Shah, Ila Patnaik
Title: Exchange Rate Regime Analysis
Description: Exchange rate regression and structural change tools for estimating, testing, dating, and monitoring (de facto) exchange rate regimes.

Diff between fxregime versions 0.3-0 dated 2009-08-28 and 0.3-1 dated 2009-11-17

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New package testthat with initial version 0.1
Package: testthat
Type: Package
Title: Tools for splitting, applying and combining data
Version: 0.1
Author: Hadley Wickham
Maintainer: Hadley Wickham
Description: Test_that code. Tools to make testing fun :)
URL: http://had.co.nz/
Depends: R (>= 2.8), mutatr, digest
License: GPL
LazyData: true
Collate: 'aaa-classes.r' 'auto-test.r' 'colour-text.r' 'context.r' 'expect-that.r' 'expectation.r' 'expectations.r' 'library.r' 'reporter-minimal.r' 'reporter-stop.r' 'reporter-summary.r' 'reporter-zzz.r' 'reporter.r' 'test-files.r' 'test-that.r' 'watcher.r'
Packaged: 2009-11-17 19:18:05 UTC; hornik
Repository: CRAN
Date/Publication: 2009-11-17 19:18:56

More information about testthat at CRAN
Permanent link

Package Runuran updated to version 0.11.0 with previous version 0.10.1 dated 2009-08-06

Author: Josef Leydold and Wolfgang H\"ormann
Title: R interface to the UNU.RAN random variate generators
Description: Interface to the UNU.RAN library for Universal Non-Uniform RANdom variate generators

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Package rstream updated to version 1.2.4 with previous version 1.2.3 dated 2009-01-08

Author: Josef Leydold
Title: Streams of random numbers
Description: Unified object oriented interface for multiple independent streams of random numbers from different sources.

Diff between rstream versions 1.2.3 dated 2009-01-08 and 1.2.4 dated 2009-11-17

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Package monomvn updated to version 1.7-4 with previous version 1.7-3 dated 2009-08-19

Author: Robert B. Gramacy
Title: Estimation for multivariate normal and Student-t data with monotone missingness
Description: Estimation of multivariate normal and student-t data of arbitrary dimension where the pattern of missing data is monotone. Through the use of parsimonious/shrinkage regressions (plsr, pcr, lasso, ridge, etc.), where standard regressions fail, the package can handle a nearly arbitrary amount of missing data. The current version supports maximum likelihood inference and a full Bayesian approach employing scale-mixtures for the lasso (double-exponential) prior and Student-t errors. Monotone data augmentation extends this Bayesian approach to arbitrary missingness patterns. A fully functional standalone interface to the Bayesian lasso (from Park & Casella) and ridge regression with model selection via Reversible Jump, and student-t errors (from Geweke) is also provided

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Package clues updated to version 0.3.9 with previous version 0.3.2 dated 2009-03-17

Author: Fang Chang , Vincent Carey , Weiliang Qiu , Ruben H. Zamar , Ross Lazarus , Xiaogang Wang
Title: Clustering Method Based on Local Shrinking
Description: The package contains functions for automatically estimating the number of clusters and getting the final cluster partition without any input parameter except the stopping rule for convergence. The package also provides functions to evaluate and compare the performances of partitions of a data set both numerically and graphically.

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New package polySegratioMM with initial version 0.5-1
Package: polySegratioMM
Type: Package
Title: Bayesian mixture models for marker dosage in autopolyploids
Version: 0.5-1
Date: 2008-07-18
Author: Peter Baker
Maintainer: Peter Baker
Depends: polySegratio, coda
Imports: gtools
Description: Fits Bayesian mixture models to estimate marker dosage for dominant markers on autopolyploids using JAGS (1.0 or greater). May be used in conjunction with polySegratio for simulation studies and comparison with standard methods
License: GPL-2
Packaged: 2009-11-17 16:05:43 UTC; pete
Repository: CRAN
Date/Publication: 2009-11-17 17:24:35

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Package nnDiag updated to version 0.0-3 with previous version 0.0-2 dated 2009-11-16

Author: Brian Walters , Zhen Zhang , Andrew O. Finley
Title: k-Nearest Neighbor Diagnostic Tools
Description: A suite of graphical diagnostic tools to evaluate kNN classifications.

Diff between nnDiag versions 0.0-2 dated 2009-11-16 and 0.0-3 dated 2009-11-17

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New package polySegratio with initial version 0.2-1
Package: polySegratio
Type: Package
Title: Simulate and test marker dosage for dominant markers in autopolyploids
Version: 0.2-1
Date: 2008-01-09
Depends: gdata
Author: Peter Baker
Maintainer: Peter Baker
Description: Perform classic chi-squared tests and Ripol et al(1999) binomial confidence interval approach for autopolyploid dominant markers. Also, dominant markers may be generated for families of offspring where either one or both of the parents possess the marker. Missing values and misclassified markers may be generated at random.
License: GPL-2
Packaged: 2009-11-17 16:23:49 UTC; pete
Repository: CRAN
Date/Publication: 2009-11-17 17:24:31

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Package iGenomicViewer updated to version 2.4.6 with previous version 2.4.4 dated 2009-10-29

Author: Daniel P Gaile , Lori A. Shepherd , Lara Sucheston , Andrew Bruno , Kenneth F. Manly
Title: Tool for sending interactive bioinformatic heatmaps with tool-tip content.
Description: A tool for visualizing data

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Package untb updated to version 1.6-2 with previous version 1.6-1 dated 2009-10-15

Author: Robin K. S. Hankin
Title: ecological drift under the UNTB
Description: A collection of utilities for biodiversity data. Includes the simulation of ecological drift under Hubbell's Unified Neutral Theory of Biodiversity, and the calculation of various diagnostics such as Preston curves. Now includes functionality provided by Francois Munoz and Andrea Manica.

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Package parcor updated to version 0.2-1 with previous version 0.2 dated 2009-11-12

Author: Nicole Kraemer, Juliane Schaefer
Title: Regularized estimation of partial correlation matrices
Description: The package estimates the matrix of partial correlations based on different regularized regression methods: lasso, adaptive lasso, PLS, and Ridge Regression.

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Package automap updated to version 1.0-4 with previous version 1.0-2 dated 2009-07-18

Author: Paul Hiemstra
Title: Automatic interpolation package
Description: This package performs an automatic interpolation by automatically estimating the variogram and then calling gstat.

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Package tweedie updated to version 2.0.2 with previous version 2.0.0 dated 2009-08-10

Author: Peter K Dunn
Title: Tweedie exponential family models
Description: Maximum likelihood computations for Tweedie families.

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Package seqinr updated to version 2.0-7 with previous version 2.0-6 dated 2009-10-18

Author: Delphine Charif and Jean R. Lobry and Anamaria Necsulea and Leonor Palmeira and Simon Penel
Title: Biological Sequences Retrieval and Analysis
Description: Exploratory data analysis and data visualization for biological sequence (DNA and protein) data. Include also utilities for sequence data management under the ACNUC system.

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Package sca updated to version 0.8-7 with previous version 0.8-6 dated 2009-02-09

Author: Valentin Rousson and Martin Maechler
Title: Simple Component Analysis
Description: Simple Component Analysis often provides much more interpretable components than Principal Components (PCA) without losing too much.

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Package RcmdrPlugin.Export updated to version 0.3-0 with previous version 0.2-2 dated 2009-10-14

Author: Liviu Andronic
Title: Graphically export output to LaTeX or HTML
Description: The package helps users to graphically export Rcmdr output to LaTeX or HTML code, via xtable() or Hmisc::latex(). The plug-in was originally intended to facilitate exporting Rcmdr output to formats other than ASCII text and to provide R novices with an easy-to-use, easy-to-access reference on exporting R objects to formats suited for printed output. The package documentation contains several pointers on creating reports, either by using conventional word processors or LaTeX/LyX.

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Package DRI updated to version 1.1 with previous version 1.0 dated 2009-08-05

Author: Keyan Salari, Robert Tibshirani, Jonathan R. Pollack
Title: DR-Integrator
Description: Integrative analysis of DNA copy number and gene expression data described in Salari et al 2009

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Package Amelia updated to version 1.2-14 with previous version 1.2-13 dated 2009-08-13

Author: James Honaker , Gary King , Matthew Blackwell
Title: Amelia II: A Program for Missing Data
Description: Amelia II "multiply imputes" missing data in a single cross-section (such as a survey), from a time series (like variables collected for each year in a country), or from a time-series-cross-sectional data set (such as collected by years for each of several countries). Amelia II implements our bootstrapping-based algorithm that gives essentially the same answers as the standard IP or EMis approaches, is usually considerably faster than existing approaches and can handle many more variables. Unlike Amelia I and other statistically rigorous imputation software, it virtually never crashes (but please let us know if you find to the contrary!). The program also generalizes existing approaches by allowing for trends in time series across observations within a cross-sectional unit, as well as priors that allow experts to incorporate beliefs they have about the values of missing cells in their data. Amelia II also includes useful diagnostics of the fit of multiple imputation models. The program works from the R command line or via a graphical user interface that does not require users to know R.

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