Thu, 05 Nov 2009

Package spdep updated to version 0.4-52 with previous version 0.4-50 dated 2009-10-19

Author: Roger Bivand , with contributions by Luc Anselin, Renato Assunção, Olaf Berke, Andrew Bernat, Marilia Carvalho, Yongwan Chun, Bjarke Christensen, Carsten Dormann, Stéphane Dray, Rein Halbersma, Elias Krainski, Nicholas Lewin-Koh, Hongfei Li, Jielai Ma, Giovanni Millo, Werner Mueller, Hisaji Ono, Pedro Peres-Neto, Markus Reder, Michael Tiefelsdorf, and Danlin Yu.
Title: Spatial dependence: weighting schemes, statistics and models
Description: A collection of functions to create spatial weights matrix objects from polygon contiguities, from point patterns by distance and tesselations, for summarising these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial autocorrelation, including global Moran's I, APLE, Geary's C, Hubert/Mantel general cross product statistic, Empirical Bayes estimates and Assunção/Reis Index, Getis/Ord G and multicoloured join count statistics, local Moran's I and Getis/Ord G, saddlepoint approximations and exact tests for global and local Moran's I; and functions for estimating spatial simultaneous autoregressive (SAR) lag and error models, impact measures for lag models, weighted and unweighted SAR and CAR spatial regression models, semi-parametric and Moran eigenvector spatial filtering, GM SAR error models, and generalized spatial two stage least squares models.

Diff between spdep versions 0.4-50 dated 2009-10-19 and 0.4-52 dated 2009-11-05

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New package dclone with initial version 0.9-0
Package: dclone
Type: Package
Title: Data Cloning and MCMC Tools for Maximum Likelihood Methods
Version: 0.9-0
Date: 2009-10-19
Author: Peter Solymos
Maintainer: Peter Solymos
Description: Low level functions for implementing maximum likelihood estimating procedures for complex models using data cloning and Bayesian Markov chain Monte Carlo methods with support for JAGS, WinBUGS and OpenBUGS.
License: GPL-2
Depends: R (>= 2.7.0), rjags, coda (>= 0.13), R2WinBUGS, mvnormtest
Imports: stats
SystemRequirements: jags (== 1.0.3), WinBUGS (== 1.4)
URL: https://r-forge.r-project.org/projects/dcr/
LazyLoad: yes
LazyData: true
Repository: CRAN
Repository/R-Forge/Project: dcr
Repository/R-Forge/Revision: 52
Date/Publication: 2009-11-05 20:29:10
Packaged: 2009-11-04 21:09:50 UTC; rforge

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Package bipartite updated to version 1.03 with previous version 1.02 dated 2009-09-12

Author: Carsten F. Dormann and Bernd Gruber, with additional code from Mariano Devoto, Jochen Fruend, Jose Iriondo and Diego Vazquez, also based on C-code developed by Nils Bluethgen and by Miguel Rodriguez-Girones.
Title: Visualising bipartite networks and calculating some ecological indices.
Description: Bipartite provides functions to viualise webs and calculate a series of indices commonly used to describe pattern in ecological webs. It focusses on webs consisting of only two trophic levels, e.g. pollination webs or predator-prey-webs. Visualisation is important to get an idea of what we are actually looking at, while the indices summarise different aspects of the webs topology.

Diff between bipartite versions 1.02 dated 2009-09-12 and 1.03 dated 2009-11-05

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New package adephylo with initial version 1.0-1
Package: adephylo
Version: 1.0-1
Date: 2009/11/5
Title: adephylo: exploratory analyses for the phylogenetic comparative method.
Author: Thibaut Jombart , Stephane Dray
Maintainer: Thibaut Jombart
Suggests:
Depends: methods, phylobase, ape, ade4
Description: Multivariate tools to analyze comparative data, i.e. a phylogeny and some traits measured for each taxa.
License: GPL (>= 2)
LazyLoad: yes
Collate: utils.R partition.R table.phylo4d.R distances.R proximities.R orthobasis.R ppca.R orthogram.R abouheif.R moran.R zzz.R
Packaged: 2009-11-05 18:13:06 UTC; thibaut
Repository: CRAN
Date/Publication: 2009-11-05 20:05:18

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Package SimComp updated to version 1.4.3 with previous version 1.4.2 dated 2009-10-22

Author: Mario Hasler
Title: Simultaneous Comparisons for Multiple Endpoints
Description: Simultaneous tests and confidence intervals for one-way experimental designs with one or many normally distributed, primary response variables (endpoints). The procedure of Hasler (2009) is applied for differences or ratios of means. Various contrasts can be chosen, unbalanced sample sizes are allowed as well as heterogeneous covariance matrices.

Diff between SimComp versions 1.4.2 dated 2009-10-22 and 1.4.3 dated 2009-11-05

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New package SDisc with initial version 1.17
Package: SDisc
Type: Package
Title: Integrated methodology for the identification of homogeneous profiles in data distribution
Version: 1.17
Date: 2009-10-27
Author: Fabrice Colas
Maintainer: Fabrice Colas
Description: Integrated set of tools and methods to identify homogeneous profiles/subtypes in data distribution by cluster analysis. It includes methods for data treatment and pre-processing, repeated cluster analysis, model selection, model reliability and reproducibility assessment, profiles characterization and validation by visual and table summaries. It applies particularly to the search for more homogeneous profiles in cohort studies.
Depends: R (>= 2.5.1), mclust, stats, utils, RColorBrewer, abind, xtable, digest, e1071, snow
License: BSD
URL: https://gforge.nbic.nl/projects/subtypediscover/, http://www.grano-salis.net/
Packaged: 2009-11-05 10:39:32 UTC; fcolas
Repository: CRAN
Date/Publication: 2009-11-05 19:43:24

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Package R2WinBUGS updated to version 2.1-15 with previous version 2.1-14 dated 2009-04-14

Author: originally written by Andrew Gelman ; changes and packaged by Sibylle Sturtz and Uwe Ligges . With considerable contributions by Gregor Gorjanc and Jouni Kerman . Ported to S-PLUS by Insightful Corp.
Title: Running WinBUGS and OpenBUGS from R / S-PLUS
Description: Using this package, it is possible to call a BUGS model, summarize inferences and convergence in a table and graph, and save the simulations in arrays for easy access in R / S-PLUS. In S-PLUS, the openbugs functionality and the windows emulation functionality is not yet available.

Diff between R2WinBUGS versions 2.1-14 dated 2009-04-14 and 2.1-15 dated 2009-11-05

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Package GeoXp updated to version 1.4 with previous version 1.3 dated 2008-10-12

Author: Yves Aragon, Thibault Laurent, Lauriane Robidou, Anne Ruiz-Gazen, Christine Thomas-Agnan
Title: Interactive exploratory spatial data analysis
Description: GeoXp is a tool for researchers in spatial statistics, spatial econometrics, geography, ecology etc allowing to link dynamically statistical plots with elementary maps. This coupling consists in the fact that the selection of a zone on the map results in the automatic highlighting of the corresponding points on the statistical graph or reversely the selection of a portion of the graph results in the automatic highlighting of the corresponding points on the map. GeoXp includes tools from different areas of spatial statistics including geostatistics as well as spatial econometrics and point processes. Besides elementary plots like boxplots, histograms or simple scatterplos, GeoXp also couples with maps Moran scatterplots, variogram cloud, Lorentz Curves,...In order to make the most of the multidimensionality of the data, GeoXp includes some dimension reduction techniques such as PCA.

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Package DoE.base updated to version 0.9-7 with previous version 0.9-6 dated 2009-11-05

Author: Ulrike Groemping
Title: Full factorials, orthogonal arrays and base utilities for DoE packages
Description: This package creates full factorial experimental designs and designs based on orthogonal arrays for (industrial) experiments. Additionally, it provides some utility functions used also by other DoE packages.

Diff between DoE.base versions 0.9-6 dated 2009-11-05 and 0.9-7 dated 2009-11-05

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Package DTDA updated to version 1.2-0 with previous version 1.1 dated 2009-09-21

Author: Carla Moreira, Jacobo de U\eqn{\mbox{\textasciitilde}}{~}na- \eqn{\mbox{\textasciitilde}}{'}Alvarez and Rosa Crujeiras
Title: Doubly truncated data analysis
Description: This package implements different algorithms for analyzing randomly truncated data, one-sided and two-sided (i.e. doubly) truncated data.

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Package quantreg updated to version 4.44 with previous version 4.43 dated 2009-10-19

Author: Roger Koenker
Title: Quantile Regression
Description: Quantile regression and related methods.

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Package proxy updated to version 0.4-5 with previous version 0.4-4 dated 2009-10-13

Author: David Meyer and Christian Buchta
Title: Distance and Similarity Measures
Description: Provides an extensible framework for the effcient calculation of auto- and cross-proximities, along with implementations of the most popular ones.

Diff between proxy versions 0.4-4 dated 2009-10-13 and 0.4-5 dated 2009-11-05

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Package oce updated to version 0.1-80 with previous version 0.1-79 dated 2009-10-26

Author: Dan Kelley
Title: Analysis of Oceanographic data
Description: Supports the analysis of Oceanographic data, including ADP measurements, CTD measurements, sectional data, sea-level timeseries, coastline files, etc. Provides functions for calculating seawater properties such as potential temperature and density, as well as derived properties such as buoyancy frequency and dynamic height.

Diff between oce versions 0.1-79 dated 2009-10-26 and 0.1-80 dated 2009-11-05

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Package lordif updated to version 0.1-3 with previous version 0.1-2 dated 2009-10-14

Author: Seung W. Choi, with contributions from Laura E. Gibbons and Paul K. Crane
Title: Logistic Regression Differential Item Functioning using IRT
Description: Analysis of Differential Item Functioning (DIF) for dichotomous and polytomous items using an iterative hybrid of (ordinal) logistic regression and item response theory (IRT).

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Package hash updated to version 1.0.3 with previous version 1.0.2 dated 2009-10-12

Author: Christopher Brown
Title: Implements hash/associated arrays/dictionaries
Description: This package implements a data structure similar to hashes in Perl and dictionaries in Python but with a purposefully R flavor.

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Package ff updated to version 2.1-1 with previous version 2.1-0 dated 2009-11-03

Author: Daniel Adler , Christian Gl\xE4ser , Oleg Nenadic , Jens Oehlschl\xE4gel , Walter Zucchini
Title: memory-efficient storage of large data on disk and fast access functions
Description: The ff package provides data structures that are stored on disk but behave (almost) as if they were in RAM by transparently mapping only a section (pagesize) in main memory - the effective virtual memory consumption per ff object. ff supports R's standard atomic data types 'double', 'logical', 'raw' and 'integer' and non-standard atomic types boolean (1 bit), quad (2 bit unsigned), nibble (4 bit unsigned), byte (1 byte signed with NAs), ubyte (1 byte unsigned), short (2 byte signed with NAs), ushort (2 byte unsigned), single (4 byte float with NAs). For example 'quad' allows efficient storage of genomic data as an 'A','T','G','C' factor. The unsigned types support 'circular' arithmetic. There is also support for close-to-atomic types 'factor', 'ordered', 'POSIXct', 'Date' and custom close-to-atomic types. ff not only has native C-support for vectors, matrices and arrays with flexible dimorder (major column-order, major row-order and generalizations for arrays). There is also a ffdf class not unlike data.frames and import/export filters for csv files. ff objects store raw data in binary flat files in native encoding, and complement this with metadata stored in R as physical and virtual attributes. ff objects have well-defined hybrid copying semantics, which gives rise to certain performance improvements through virtualization. ff objects can be stored and reopened across R sessions. ff files can be shared by multiple ff R objects (using different data en/de-coding schemes) in the same process or from multiple R processes to exploit parallelism. A wide choice of finalizer options allows to work with 'permanent' files as well as creating/removing 'temporary' ff files completely transparent to the user. On certain OS/Filesystem combinations, creating the ff files works without notable delay thanks to using sparse file allocation. Several access optimization techniques such as Hybrid Index Preprocessing and Virtualization are implemented to achieve good performance even with large datasets, for example virtual matrix transpose without touching a single byte on disk. Further, to reduce disk I/O, 'logicals' and non-standard data types get stored native and compact on binary flat files i.e. logicals take up exactly 2 bits to represent TRUE, FALSE and NA. Beyond basic access functions, the ff package also provides compatibility functions that facilitate writing code for ff and ram objects and support for batch processing on ff objects (e.g. as.ram, as.ff, ffapply). ff interfaces closely with functionality from package 'bit': chunked looping, fast bit operations and coercions between different objects that can store subscript information ('bit', 'bitwhich', ff 'boolean', ri range index, hi hybrid index). This allows to work interactively with selections of large datasets and quickly modify selection criteria. Further high-performance enhancements can be made available upon request.

Diff between ff versions 2.1-0 dated 2009-11-03 and 2.1-1 dated 2009-11-05

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Package equate updated to version 0.1-1 with previous version 0.1-0 dated 2009-11-01

Author: Anthony Albano
Title: Traditional Methods for Test Score Equating
Description: The equate package contains functions for traditional equating under both random groups and nonequivalent groups with anchor test designs. Mean, linear, and equipercentile equating are supported as are methods for univariate and bivariate presmoothing of score distributions.

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Package caret updated to version 4.27 with previous version 4.26 dated 2009-10-28

Author: Max Kuhn. Contributions from Jed Wing, Steve Weston, Andre Williams, Chris Keefer and Allan Engelhardt
Title: Classification and Regression Training
Description: Misc functions for training and plotting classification and regression models

Diff between caret versions 4.26 dated 2009-10-28 and 4.27 dated 2009-11-05

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Package analogue updated to version 0.6-22 with previous version 0.6-21 dated 2009-11-03

Author: Gavin L. Simpson, Jari Oksanen
Title: Analogue and weighted averaging methods for palaeoecology
Description: Fits Modern Analogue Technique and Weighted Averaging transfer function models for prediction of environmental data from species data, and related methods used in palaeoecology.

Diff between analogue versions 0.6-21 dated 2009-11-03 and 0.6-22 dated 2009-11-05

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Package SparseM updated to version 0.83 with previous version 0.80 dated 2009-05-12

Author: Roger Koenker and Pin Ng
Title: Sparse Linear Algebra
Description: Basic linear algebra for sparse matrices

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Package PCIT updated to version 1.02-1 with previous version 1.01-1 dated 2009-08-28

Author: Nathan S. Watson-Haigh
Title: PCIT algorithm - Partial Correlation Coefficient with Information Theory
Description: This package provides the necessary functions for performing the Partial Correlation coefficient with Information Theory (PCIT) algorithm developed by Reverter and Chan (2008). The PCIT algorithm identifies meaningful correlations to define edges in a weighted network. The algorithm can be applied to any correlation-based network including but not limited to gene co-expression networks.

Diff between PCIT versions 1.01-1 dated 2009-08-28 and 1.02-1 dated 2009-11-05

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New package HDMD with initial version 1.0
Package: HDMD
Type: Package
Title: Statistical Analysis Tools for High Dimension Molecular Data (HDMD)
Version: 1.0
Date: 2009-11-03
Author: Lisa McFerrin
Maintainer: Lisa McFerrin
Depends: psych, MASS, base
Suggests: scatterplot3d
Description: High Dimensional Molecular Data (HDMD) typically have many more variables or dimensions than observations or replicates (D>>N). This can cause many statistical procedures to fail, become intractable, or produce misleading results. This package provides several tools to reduce dimensionality and analyze biological data for meaningful interpretation of results. Factor Analysis (FA), Principal Components Analysis (PCA) and Discriminant Analysis (DA) are frequently used multivariate techniques. However, PCA methods \code{\link{prcomp}} and \code{\link{princomp}} do not reflect the proportion of total variation of each principal component. \code{\link{Loadings.variation}} displays the relative and cumulative contribution of variation for each component by accounting for all variability in data. When D>>N, the maximum likelihood method cannot be applied in FA and the the principal axes method must be used instead, as in \code{\link{factor.pa}} of the \code{\link{psych}} package. The \code{\link{factor.pa.ginv}} function in this package further allows for a singular covariance matrix by applying a general inverse method to estimate factor scores. Moreover, \code{\link{factor.pa.ginv}} removes and warns of any variables that are constant, which would otherwise create an invalid covariance matrix. \code{\link{Promax.only}} further allows users to define rotation parameters during factor estimation. Similar to the Euclidean distance, the Mahalanobis distance estimates the relationship among groups. \code{\link{pairwise.mahalanobis}} computes all such pairwise Mahalanobis distances among groups and is useful for quantifying the separation of groups in DA. Genetic sequences are composed of discrete alphabetic characters, which makes estimates of variability difficult. \code{\link{MolecularEntropy}} and \code{\link{MolecularMI}} calculate the entropy and mutual information to estimate variability and covariability, respectively, of DNA or Amino Acid sequences. Functional grouping of amino acids (Atchley et al 1999) is also available for entropy and mutual information estimation. Mutual information values can be normalized by \code{\link{NMI}} to account for the background distribution arising from the stochastic pairing of independent, random sites. Alternatively, discrete alphabetic sequences can be transformed into biologically informative metrics to be used in various multivariate procedures. \code{\link{FactorTransform}} converts amino acid sequences using the amino acid indices determined by Atchley et al 2005.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2009-11-04 18:18:58 UTC; Lisa
Repository: CRAN
Date/Publication: 2009-11-05 12:34:14

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Package DoE.base updated to version 0.9-6 with previous version 0.9-5 dated 2009-11-03

Author: Ulrike Groemping
Title: Full factorials, orthogonal arrays and base utilities for DoE packages
Description: This package creates full factorial experimental designs and designs based on orthogonal arrays for (industrial) experiments. Additionally, it provides some utility functions used also by other DoE packages.

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Package CircSpatial updated to version 1.0-1 with previous version 1.0 dated 2009-09-21

Author: Bill Morphet
Title: Functions For Circular Spatial Data
Description: The package is a collection of functions for color continuous high resolution images of circular spatial data, circular kriging, and simulation of circular random fields.

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