Fri, 15 Feb 2013

New package smdc with initial version 0.0.2
Package: smdc
Type: Package
Title: Document Similarity
Version: 0.0.2
Date: 2013-02-16
Author: Masaaki TAKADA
Maintainer: Masaaki TAKADA
Description: This package provides similarity among documents.
License: BSD
Depends: proxy,tm
Packaged: 2013-02-15 18:32:09 UTC; tkdmah
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-02-15 19:45:47

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Package MplusAutomation updated to version 0.5-4 with previous version 0.5-3 dated 2012-08-08

Title: Automating Mplus Model Estimation and Interpretation
Description: The MplusAutomation package leverages the flexibility of the R language to automate latent variable model estimation and interpretation using Mplus, a powerful latent variable modeling program developed by Muthen and Muthen (www.statmodel.com). Specifically, MplusAutomation provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.
Author: Michael Hallquist, Joshua Wiley
Maintainer: Michael Hallquist

Diff between MplusAutomation versions 0.5-3 dated 2012-08-08 and 0.5-4 dated 2013-02-15

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Package ritis (with last version 0.0.3) was removed from CRAN

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

2012-12-05 0.0.3
2012-11-06 0.0.2
2012-10-17 0.0.1

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Package hmmm updated to version 1.0-1 with previous version 1.0.0 dated 2012-11-17

Title: hierarchical multinomial marginal models
Description: Functions for specifying and fitting marginal models for contingency tables proposed by Bergsma and Rudas (2002) here called hierarchical multinomial marginal models (hmmm) and their extensions presented by Bartolucci et al. (2007); multinomial Poisson homogeneous (mph) models and homogeneous linear predictor (hlp) models for contingency tables proposed by Lang (2004) and (2005); hidden Markov models where the distribution of the observed variables is described by a marginal model. Inequality constraints on the parameters are allowed and can be tested.
Author: Roberto Colombi [aut, cre], Sabrina Giordano [aut], Manuela Cazzaro [aut], Joseph B. Lang [ctb]
Maintainer: Colombi Roberto

Diff between hmmm versions 1.0.0 dated 2012-11-17 and 1.0-1 dated 2013-02-15

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New package catenary with initial version 1.0
Package: catenary
Type: Package
Title: Fits a catenary to given points
Version: 1.0
Date: 2013-02-14
Author: Jono Tuke, Matthew Roughan
Maintainer: Jono Tuke
Description: Gives methods to create a catenary object and then plot it and get properties of it. Can construct from parameters or endpoints. Also can get catenary fitted to data.
License: GPL-3
Depends: ggplot2, methods, boot
Collate: 'catenary.R' 'package.R' 'fittedCatenary.R' 'getCatLength.R' 'minmaxLength.R' 'fitCatEndPts.R' 'f.R' 'getFunctionEnvelopeCat.R' 'getFunctionEnvelopePara.R' 'fitCat.R' 'fitMaxCat.R' 'fitNaturalCat.R' 'ctestiphon.R'
Packaged: 2013-02-15 11:41:03 UTC; jonathantuke
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-02-15 16:22:29

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New package Iboot with initial version 0.1-1
Package: Iboot
Version: 0.1-1
Date: 2013-02-15
Title: Iboot: iterated bootstrap tests and confidence sets.
Author: Nicola Lunardon
Maintainer: Nicola Lunardon
Description: The package implements a general algorithm to obtain iterated bootstrap tests and confidence sets for a p-dimensional parameter based on the unstudentized version of the Rao statistic.
License: GPL-2
Packaged: 2013-02-15 11:11:30 UTC; bustra
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-02-15 14:20:27

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Package seriation updated to version 1.0-10 with previous version 1.0-9 dated 2012-11-19

Title: Infrastructure for seriation
Description: Infrastructure for seriation with an implementation of several seriation/sequencing techniques to reorder matrices, dissimilarity matrices, and dendrograms. Also contains some visualizations techniques based on seriation.
Author: Michael Hahsler, Christian Buchta and Kurt Hornik
Maintainer: Michael Hahsler

Diff between seriation versions 1.0-9 dated 2012-11-19 and 1.0-10 dated 2013-02-15

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Package visualize updated to version 3.0 with previous version 2.2 dated 2013-01-15

Title: Graph Probability Distributions with User Supplied Parameters and Stats.
Description: Graphs the pdf or pmf and highlights what area or probability is present in user defined locations. Visualize is able to provide lower tail, bounded, and upper tail calculations. Supports strict and equal to inequalities. Also provided on the graph is the mean and variance of the distribution.
Author: James Balamuta
Maintainer: James Balamuta

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Package imputation updated to version 2.0.0 with previous version 1.3 dated 2011-06-19

Title: imputation
Description: Fill missing values in a data matrix using mean, kNN, SVD, Singular Value Thresholding, tree, or linear imputation,.
Author: Jeffrey Wong
Maintainer: Jeffrey Wong

Diff between imputation versions 1.3 dated 2011-06-19 and 2.0.0 dated 2013-02-15

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Package monreg updated to version 0.1.2 with previous version 0.1.1 dated 2009-02-25

Title: Nonparametric monotone regression
Description: Estimates monotone regression and variance functions in a nonparametric model.
Author: This version Kay Pilz and Steffanie Titoff. Earlier developements by Holger Dette and Kay Pilz.
Maintainer: ORPHANED

Diff between monreg versions 0.1.1 dated 2009-02-25 and 0.1.2 dated 2013-02-15

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Package graphComp (with last version 1.0) was removed from CRAN

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

2011-08-04 1.0

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Package spatialprobit updated to version 0.9-6 with previous version 0.9-2 dated 2012-05-22

Title: Spatial Probit Models
Description: Bayesian Estimation of Spatial Probit and Tobit Models
Author: Stefan Wilhelm and Miguel Godinho de Matos
Maintainer: Stefan Wilhelm

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Package pbdSLAP updated to version 0.1-4 with previous version 0.1-3 dated 2013-01-01

Title: Programming with Big Data -- Scalable Linear Algebra Packages
Description: pbdSLAP utilizes scalable linear algebra packages mainly including BLACS, PBLAS, and ScaLAPACK in double precision via pbdMPI based on ScaLAPACK version 2.0.2.
Author: Wei-Chen Chen [aut, cre], Drew Schmidt [aut], George Ostrouchov [aut], Pragneshkumar Patel [aut]
Maintainer: Wei-Chen Chen

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Package MARSS updated to version 3.4 with previous version 3.3 dated 2013-01-26

Title: Multivariate Autoregressive State-Space Modeling
Description: The MARSS package provides maximum-likelihood parameter estimation for constrained and unconstrained linear multivariate autoregressive state-space (MARSS) models fit to multivariate time-series data. Fitting is primarily via an Expectation-Maximization (EM) algorithm, although fitting via the BFGS algorithm (using the optim function) is also provided. MARSS models are a class of dynamic linear model (DLM) and vector autoregressive model (VAR) model. Functions are provided for parametric and innovations bootstrapping, Kalman filtering and smoothing, bootstrap model selection criteria (AICb), confidences intervals via the Hessian approximation and via bootstrapping and calculation of auxiliary residuals for detecting outliers and shocks. The user guide shows examples of using MARSS for parameter estimation for a variety of applications, model selection, dynamic factor analysis, outlier and shock detection, and addition of covariates. Type RShowDoc("UserGuide", package="MARSS") at the R command line to open the MARSS user guide. Online workshops (lecture material) at http://faculty.washington.edu/eeholmes/workshops.shtml
Author: Eli Holmes, Eric Ward, and Kellie Wills, NOAA, Seattle, USA
Maintainer: Eli Holmes

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Package ENA updated to version 1.2-4 with previous version 1.1-103 dated 2012-07-19

Title: Ensemble Network Aggregation
Description: Ensemble network aggregation is an approach which leverages the inverse-rank-product (IRP) method to combine networks. This package provides the capabilities to use IRP to bootstrap a dataset using a single method, to aggregate the networks produced by multiple methods, or to aggregate the networks produced on different datasets.
Author: Jeffrey D. Allen
Maintainer: Jeffrey D. Allen

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Package Ecdat updated to version 0.2-1 with previous version 0.2-0 dated 2013-01-21

Title: Data sets for econometrics
Description: Data sets for econometrics
Author: Yves Croissant
Maintainer: Spencer Graves

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New package bigrf with initial version 0.1-1
Package: bigrf
Version: 0.1-1
Date: 2013-02-15
Title: Big Random Forests: Classification and Regression Forests for Large Data Sets
Authors@R: c(person("Aloysius", "Lim", role = c("aut", "cre"), email="aloysius.lim@gmail.com"), person("Leo", "Breiman", role = "aut"), person("Adele", "Cutler", role = "aut"))
Author: Aloysius Lim, Leo Breiman, Adele Cutler
Maintainer: Aloysius Lim
Depends: methods, bigmemory
Imports: foreach
LinkingTo: bigmemory
Suggests: MASS, doMC, doMPI, doRedis, doSNOW
Enhances: bigmemory
Description: This is an implementation of Leo Breiman's and Adele Cutler's Random Forest algorithms for classification and regression, with optimizations for performance and for handling of data sets that are too large to be processed in memory. Forests can be built in parallel at two levels. First, trees can be grown in parallel on a single machine using foreach. Second, multiple forests can be built in parallel on multiple machines, then merged into one. For large data sets, disk-based big.matrix's may be used for storing data and intermediate computations, to prevent excessive virtual memory swapping by the operating system. Currently, only classification forests with a subset of the functionality in Breiman and Cutler's original code are implemented. More functionality and regression trees will be added in the future.
License: GPL-3
Copyright: 2013 Aloysius Lim
URL: https://github.com/aloysius-lim/bigrf
BugReports: https://github.com/aloysius-lim/bigrf/issues
Packaged: 2013-02-15 03:50:48 UTC; aloysius
Repository: CRAN
Date/Publication: 2013-02-15 06:02:04

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