Mon, 04 Apr 2011

Package R.utils updated to version 1.7.4 with previous version 1.7.3 dated 2011-04-04

Title: Various programming utilities
Description: This package provides utility classes and methods useful when programming in R and developing R packages.
Author: Henrik Bengtsson
Maintainer: Henrik Bengtsson

Diff between R.utils versions 1.7.3 dated 2011-04-04 and 1.7.4 dated 2011-04-04

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 R/hpaste.R      |   35 +++++++++++++++++++++--------------
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 inst/NEWS       |    5 +++++
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 5 files changed, 90 insertions(+), 44 deletions(-)

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Package R.filesets updated to version 0.9.9 with previous version 0.9.7 dated 2011-03-14

Title: Easy handling of and access to files organized in structured directories
Description: A file set refers to a set of files located in one or more directories on the file system. This package provides classes and methods to locate, setup, subset, navigate and iterate suchs sets. The API is designed such that these classes can be subsetted to provide a richer API for special file formats. Moreover, a specific name format is defined such that filenames and directories can be considered to have fullnames which consists of a name followed by comma-separated tags. This adds additional flexibility to identify file sets and individual files. NOTE: This package's API should be considered to be in an beta stage. Its main purpose is currently to support the aroma.* packages, where it is one of the main core components; if you decide to build on top of this package, please contact the author first.
Author: Henrik Bengtsson
Maintainer: Henrik Bengtsson

Diff between R.filesets versions 0.9.7 dated 2011-03-14 and 0.9.9 dated 2011-04-04

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Package popPK updated to version 1.03 with previous version 1.02 dated 2011-02-11

Title: Summary of Population Pharmacokinetic Analysis
Description: This package uses xpose4 to create standard graphs and tables for NONMEM runs.
Author: Christoffer W. Tornoe & Fang Li
Maintainer: FDA Pharmacometrics

Diff between popPK versions 1.02 dated 2011-02-11 and 1.03 dated 2011-04-04

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New package MHadaptive with initial version 1.1-1
Package: MHadaptive
Type: Package
Title: General Markov Chain Monte Carlo for Bayesian Inference using adaptive Metropolis-Hastings sampling
Version: 1.1-1
Date: 2011-04-03
Author: Corey Chivers
Maintainer: Corey Chivers
Depends: QRMlib
Description: Performs general Metropolis-Hastings Markov Chain Monte Carlo sampling of a user defined function which returns the un-normalized value (likelihood times prior) of a Bayesian model. The proposal variance-covariance structure is updated adaptively for efficient mixing when the structure of the target distribution is unknown. The package also provides some functions for Bayesian inference including Bayesian Credible Intervals (BCI) and Deviance Information Criterion (DIC) calculation.
License: GPL (>= 3)
LazyLoad: yes
Packaged: 2011-04-04 15:29:37 UTC; cchivers
Repository: CRAN
Date/Publication: 2011-04-04 19:01:30

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New package IndependenceTests with initial version 0.1
Package: IndependenceTests
Version: 0.1
Date: 2011-04-04
Title: Nonparametric tests of independence between random vectors.
Author: P Lafaye de Micheaux , M Bilodeau
Maintainer: P Lafaye de Micheaux
Depends: R (>= 2.3.0), xtable
Description: Functions for testing mutual independence between many numerical random vectors or serial independence of a multivariate stationary sequence. The proposed test works when some or all of the marginal distributions are singular with respect to Lebesgue measure.
License: GPL (>= 2)
Suggests: snow, rsprng, Rmpi
Packaged: 2011-04-04 18:00:50 UTC; root
Repository: CRAN
Date/Publication: 2011-04-04 19:01:28

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Package HumMeth27QCReport updated to version 1.2.8 with previous version 1.1.1 dated 2010-11-24

Title: HumMeth27QCReport: quality control and preprocessing of Illumina's Infinium methylation assays.
Description: HumMeth27QCReport is a tool for quality control and preprocessing of Illumina's Infinium BeadChip methylation assays. The automated analysis pipeline comprises data import, normalization, quality diagnostics and data export.
Author: F.M. Mancuso, G. Roma
Maintainer: F.M. Mancuso

Diff between HumMeth27QCReport versions 1.1.1 dated 2010-11-24 and 1.2.8 dated 2011-04-04

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New package CompareTests with initial version 1.0
Package: CompareTests
Type: Package
Title: Estimate diagnostic accuracy (sensitivity, specificity, etc) and agreement statistics when one test is conducted on only a subsample of specimens
Version: 1.0
Date: 2011-03-30
Author: Hormuzd A. Katki and David W. Edelstein
Maintainer: Hormuzd Katki
Description: A standard test is observed on all specimens. We treat the second test (or sampled test) as being conducted on only a stratified sample of specimens. We treat the total sample as stratified two-phase sampling and use inverse probability weighting. We estimate diagnostic accuracy (category-specific classification probabilities; for binary tests reduces to specificity and sensitivity) and agreement statistics (percent agreement, percent agreement by category, Kappa (unweighted), and symmetry tests (reduces to McNemar's test for binary tests)).
License: GPL-3
LazyLoad: yes
URL: http://dceg.cancer.gov/about/staff-bios/katki-hormuzd
Packaged: 2011-04-04 13:23:47 UTC; katkih
Repository: CRAN
Date/Publication: 2011-04-04 19:01:18

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Package TraMineR updated to version 1.8-1 with previous version 1.8 dated 2011-03-17

Title: Sequences and trajectories mining for social scientists
Description: This package is a toolbox for sequence manipulation, description, rendering and more generally sequence data mining in the field of social sciences. Though it is primarily intended for analyzing state or event sequences that describe life courses such as family formation histories or professional careers its features apply indeed also to many other kinds of categorical sequence data. It accepts as input many different sequence representations and provides tools for translating sequences from one format to another. It offers several statistical functions for describing and rendering sequences, for computing distances between sequences with different metrics among which optimal matching, the longest common prefix and the longest common subsequence, and simple functions for extracting the most frequent subsequences and identifying the most discriminating ones among them. A user's guide can be found on TraMineR's web page.
Author: Alexis Gabadinho , Matthias Studer , Nicolas S. Müller , Gilbert Ritschard .
Maintainer: Alexis Gabadinho

Diff between TraMineR versions 1.8 dated 2011-03-17 and 1.8-1 dated 2011-04-04

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Package DPpackage updated to version 1.1-3 with previous version 1.1-2 dated 2010-10-02

Title: Bayesian Nonparametric and Semiparametric Analysis
Description: This package contains functions to perform inference via simulation from the posterior distributions for Bayesian nonparametric and semiparametric models. Although the name of the package was motivated by the Dirichlet Process prior, the package considers and will consider other priors on functional spaces. So far, DPpackage includes models considering Dirichlet Processes, Dependent Dirichlet Processes, Dependent Poisson- Dirichlet Processes, Hierarchical Dirichlet Processes, Polya Trees, Mixtures of Triangular distributions, and Random Bernstein polynomials priors. The package also includes models considering Penalized B-Splines. Currently the package includes semiparametric models for marginal and conditional density estimation, ROC curve analysis, interval censored data, binary regression models, generalized linear mixed models, IRT type models, and generalized additive models. The package also contains functions to compute Pseudo-Bayes factors for model comparison, and to elicitate the precision parameter of the Dirichlet Process. To maximize computational efficiency, the actual sampling for each model is done in compiled FORTRAN. The functions return objects which can be subsequently analyzed with functions provided in the coda package.
Author: Alejandro Jara with contributions from Timothy Hanson , Fernando A. Quintana , Peter Mueller , and Gary L. Rosner .
Maintainer: Alejandro Jara

Diff between DPpackage versions 1.1-2 dated 2010-10-02 and 1.1-3 dated 2011-04-04

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New package PL.popN with initial version 1.1
Package: PL.popN
Type: Package
Title: Population Size Estimation
Version: 1.1
Date: 2011-04-04
Author: Jakub Stoklosa
Maintainer: Jakub Stoklosa
Description: Estimates closed population size using a partial likelihood.
License: GPL-2
Packaged: 2011-04-03 23:46:04 UTC; Jakub Stoklosa
Repository: CRAN
Date/Publication: 2011-04-04 13:15:30

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Package sdcTable updated to version 0.6.4 with previous version 0.6.0 dated 2011-02-10

Title: statistical disclosure control for tabular data
Description: R-Package for statistical disclosure control for tabular data.
Author: Bernhard Meindl
Maintainer: Bernhard Meindl

Diff between sdcTable versions 0.6.0 dated 2011-02-10 and 0.6.4 dated 2011-04-04

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Package stabledist updated to version 0.6-2.1 with previous version 0.6-0 dated 2011-03-15

Title: Stable Distribution Functions
Description: Density, Probability and Quantile functions, and random number generation for (skew) stable distributions, using the parametrizations of Nolan.
Author: Diethelm Wuertz, Martin Maechler and Rmetrics core team members.
Maintainer: Martin Maechler

Diff between stabledist versions 0.6-0 dated 2011-03-15 and 0.6-2.1 dated 2011-04-04

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Package SGP updated to version 0.0-7.0 with previous version 0.0-6.9 dated 2011-03-06

Title: SGP: An R Package for the Calculation and Visualization of Student Growth Percentiles.
Description: Functions to calculate student growth percentiles and percentile growth projections/trajectories for students using large scale, longitudinal assessment data. Functions use quantile regression to estimate the conditional density associated with each student's achievement history. Percentile growth projections/trajectories are calculated using the coefficient matrices derived from the quantile regression analyses and specify what percentile growth is required for students to reach future achievement targets.
Author: Damian W. Betebenner , with contributions from Adam Van Iwaarden, Jonathan Weeks, John Stewart, Jinnie Choi, Xin Wei, and Hi Shin Shim. With special thanks to State Department of Education analysts: Rebecca Gau (Arizona), Marie Huchton (Colorado), Dr. Wes Bruce (Indiana), Robert Hochsegang (Indiana), Robert Lee (Massachusetts), Soo Yeon Cho (Missouri), Ana Karantonis (Rhode Island), Dr. Deborah Jonas (Virginia), Dr. Philip Olsen (Wisconsin), Nick Stroud (Wisconsin).
Maintainer: Damian W. Betebenner

Diff between SGP versions 0.0-6.9 dated 2011-03-06 and 0.0-7.0 dated 2011-04-04

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Package IQMNMR updated to version 1.0.1 with previous version 1.0 dated 2011-04-01

Title: Identification and Quantification of Metabolites by Using 1D 1H NMR FID
Description: Critical to metabolomics is the unambiguous identification and absolute quantification of metabolites. One-dimensional (1D) proton (1H) NMR has formed the bedrock of metabolomics studies to date. Automated and high throughput identification and quantification of metabolites is a big challenge for One-dimensional (1D) proton (1H) NMR. This package present a new automated technique based on Message Passing Interface (MPI), relaxation algorithm, pattern identification, Madison Metabolomics Consortium Database (MMCD), and 1D 1H NMR free induction decay (FID), for the unambiguous identification and absolute quantification of targeted metabolites.
Author: XuSong
Maintainer: Xu Song

Diff between IQMNMR versions 1.0 dated 2011-04-01 and 1.0.1 dated 2011-04-04

 DESCRIPTION           |   10 +++++-----
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 3 files changed, 13 insertions(+), 36 deletions(-)

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Package wgaim updated to version 0.99-4.2 with previous version 0.99-4 dated 2011-02-07

Title: Whole Genome Average Interval Mapping for QTL detection using mixed models
Description: This package integrates sophisticated mixed modelling methods with a whole genome approach to detecting significant QTL's in linkage maps.
Author: Julian Taylor , Simon Diffey , Ari Verbyla and Brian Cullis .
Maintainer: Julian Taylor

Diff between wgaim versions 0.99-4 dated 2011-02-07 and 0.99-4.2 dated 2011-04-04

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Package trio updated to version 1.1.22 with previous version 1.1.17 dated 2011-01-03

Title: Detection of disease-associated SNP interactions in case-parent trio data
Description: Testing SNPs and SNP interactions with a genotypic TDT. This package furthermore contains functions for computing pairwise values of LD measures and for identifying LD blocks, as well as functions for setting up matched case pseudo-control genotype data for case-parent trios in order to run trio logic regreesion, to impute missing genotypes in trios, or to simulate case-parent trios with disease risk dependent on SNP interaction.
Author: Holger Schwender, Qing Li
Maintainer: Holger Schwender

Diff between trio versions 1.1.17 dated 2011-01-03 and 1.1.22 dated 2011-04-04

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Package rrcov updated to version 1.2-01 with previous version 1.1-00 dated 2010-08-30

Title: Scalable Robust Estimators with High Breakdown Point
Description: Robust Location and Scatter Estimation and Robust Multivariate Analysis with High Breakdown Point.
Author: Valentin Todorov
Maintainer: Valentin Todorov

Diff between rrcov versions 1.1-00 dated 2010-08-30 and 1.2-01 dated 2011-04-04

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Package lmomco updated to version 1.3.3 with previous version 1.3.2 dated 2011-03-15

Title: L-moments, Trimmed L-moments, L-comoments, Censored L-moments, and Many Distributions
Description: The package implements the statistical theory of L-moments including L-moment estimation, probability-weighted moment estimation, parameter estimation for numerous familiar and not-so-familiar distributions, and L-moment estimation for the same distributions from the parameters. L-moments are derived from the expectations of order statistics and are linear with respect to the probability-weighted moments; choice of either can be made by mathematical convenience. L-moments are directly analogous to the well-known product moments; however, L-moments have many advantages including unbiasedness, robustness, and consistency with respect to the product moments. The method of L-moments can out perform the method of maximum likelihood. The lmomco package historically is oriented around canonical FORTRAN algorithms of J.R.M. Hosking, and the nomenclature for many of the functions parallels that of the Hosking library, which later became available in the lmom package. However, vast arrays of various extensions and curiosities are added by the author to aid and expand of the breadth of L-moment application. Such extensions include venerable statistics as Sen weighted mean, Gini mean difference, plotting positions, and conditional probability adjustment. Much extension of L-moment theory has occurred in recent years, including extension of L-moments into right-tail and left-tail censoring by known or unknown censoring threshold and also by indicator variable. E.A.H. Elamir and A.H. Seheult have developed the trimmed L-moments, which are implemented in this package. Further, Robert Serfling and Peng Xiao have extended L-moments into multivariate space; the so-called sample L-comoments are implemented here and might have considerable application in copula theory because they measure asymmetric correlation and higher co-moments. The supported distributions with moment type shown as L (L-moments) or TL (trimmed L-moments) and additional support for right-tail censoring ([RC]) include: Cauchy (TL), Exponential (L), Gamma (L), Generalized Extreme Value (L), Generalized Lambda (L & TL), Generalized Logistic (L), Generalized Normal (L), Generalized Pareto (L[RC] & TL), Gumbel (L), Kappa (L), Kumaraswamy (L), Normal (L), 3-parameter log-Normal (L), Pearson Type III (L), Rayleigh (L), Reverse Gumbel (L[RC]), Rice/Rician (L), Truncated Exponential (L), Wakeby (L), and Weibull (L).
Author: William H. Asquith
Maintainer: William H. Asquith

Diff between lmomco versions 1.3.2 dated 2011-03-15 and 1.3.3 dated 2011-04-04

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Package lattice updated to version 0.19-23 with previous version 0.19-17 dated 2011-01-05

Title: Lattice Graphics
Description: Lattice is a powerful and elegant high-level data visualization system, with an emphasis on multivariate data, that is sufficient for typical graphics needs, and is also flexible enough to handle most nonstandard requirements. See ?Lattice for an introduction.
Author: Deepayan Sarkar
Maintainer: Deepayan Sarkar

Diff between lattice versions 0.19-17 dated 2011-01-05 and 0.19-23 dated 2011-04-04

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Package ipw updated to version 1.0-9 with previous version 1.0-8 dated 2010-09-30

Title: Estimate inverse probability weights.
Description: Estimate inverse probability weights. These are typically used to perform inverse probability weighting (IPW) to fit a marginal structural model (MSM), to estimate causal effects from observational data. Both data from point treatment situations and longitudinal studies can be used.
Author: Willem M. van der Wal
Maintainer: Willem M. van der Wal

Diff between ipw versions 1.0-8 dated 2010-09-30 and 1.0-9 dated 2011-04-04

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Package gstat updated to version 0.9-80 with previous version 0.9-79 dated 2011-03-15

Title: geostatistical modelling, prediction and simulation
Description: variogram modelling; simple, ordinary and universal point or block (co)kriging, sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions.
Author: Edzer Pebesma and others
Maintainer: Edzer Pebesma

Diff between gstat versions 0.9-79 dated 2011-03-15 and 0.9-80 dated 2011-04-04

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Package diveMove updated to version 1.2.5 with previous version 1.2.4 dated 2011-03-01

Title: Dive analysis and calibration
Description: Utilities to represent, visualize, filter, analyse, and summarize time-depth recorder (TDR) data. Miscellaneous functions for handling location data are also provided.
Author: Sebastian P. Luque
Maintainer: Sebastian P. Luque

Diff between diveMove versions 1.2.4 dated 2011-03-01 and 1.2.5 dated 2011-04-04

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Package Rz updated to version 0.2-1 with previous version 0.2-0 dated 2011-04-03

Title: GUI Tool for Data Management like SPSS or Stata
Description: R is very powerfull but not enough for social science becouse of lack in some functionality for managing survey data SPSS or Stata provides. Memisc package supplements those, variable labels, value labels, definable missing values and so on, but to efficiently work these functions need graphical interface to overlook data. This package provides such graphical interface similar to SPSS's Variable View and data managing system using memisc package as backend.
Author: Masahiro Hayashi
Maintainer: Masahiro Hayashi

Diff between Rz versions 0.2-0 dated 2011-04-03 and 0.2-1 dated 2011-04-04

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Package RcppArmadillo updated to version 0.2.18 with previous version 0.2.17 dated 2011-03-23

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 (currently version 1.1.92). 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 GNU LGPL version 3 or later, while RcppArmadillo (the Rcpp bindings/bridge to Armadillo) is licenses under the GNU GPL version 2 or later, as is the rest of Rcpp.
Author: Romain Francois, Dirk Eddelbuettel and Doug Bates
Maintainer: Romain Francois, Dirk Eddelbuettel and Doug Bates

Diff between RcppArmadillo versions 0.2.17 dated 2011-03-23 and 0.2.18 dated 2011-04-04

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Package RQuantLib updated to version 0.3.7 with previous version 0.3.6 dated 2011-02-23

Title: R interface to the QuantLib library
Description: The RQuantLib package makes parts of QuantLib visible to the R user. Currently a number option pricing functions are included, both vanilla and exotic, as well as a broad range of fixed-income functions. Also included are general calendaring and holiday utilities. Further software contributions are welcome. The QuantLib project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets. The Windows binary version is self-contained and does not require a QuantLib (or Boost) installation. RQuantLib uses the Rcpp R/C++ interface class library. See the Rcpp package on CRAN (or R-Forge) for more information on Rcpp. Note that while RQuantLib's code is licensed under the GPL (v2 or later), QuantLib itself is released under a somewhat less restrictive Open Source license (see QuantLib-License.txt).
Author: Dirk Eddelbuettel and Khanh Nguyen
Maintainer: Dirk Eddelbuettel

Diff between RQuantLib versions 0.3.6 dated 2011-02-23 and 0.3.7 dated 2011-04-04

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Package R.utils updated to version 1.7.3 with previous version 1.7.2 dated 2011-03-24

Title: Various programming utilities
Description: This package provides utility classes and methods useful when programming in R and developing R packages.
Author: Henrik Bengtsson
Maintainer: Henrik Bengtsson

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Package R.oo updated to version 1.8.0 with previous version 1.7.5 dated 2011-02-03

Title: R object-oriented programming with or without references
Description: Methods and classes for object-oriented programming in R with or without references. Large effort has been made on making definition of methods as simple as possible with a minimum of maintenance for package developers. The package has been developed since 2001 and is now considered very stable. This is a cross-platform package implemented in pure R that defines standard S3 classes without any tricks.
Author: Henrik Bengtsson
Maintainer: Henrik Bengtsson

Diff between R.oo versions 1.7.5 dated 2011-02-03 and 1.8.0 dated 2011-04-04

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Package R.cache updated to version 0.4.1 with previous version 0.4.0 dated 2011-02-15

Title: Fast and light-weight caching (memoization) of objects
Description: Methods for memoization, that is, caching arbitrary R objects in persistent memory. Objects can be loaded and saved stratified on a set of hashing objects.
Author: Henrik Bengtsson
Maintainer: Henrik Bengtsson

Diff between R.cache versions 0.4.0 dated 2011-02-15 and 0.4.1 dated 2011-04-04

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Package MatchIt updated to version 2.4-17 with previous version 2.4-16 dated 2011-01-10

Title: MatchIt
Description: MatchIt preprocesses data by selecting approximate matched samples of the treated and control groups with similar covariate distributions, drawing on a large variety of matching methods. After preprocessing data with MatchIt, whatever standard parametric technique one might have used without preprocessing can be used, but the results will be far less model dependent.
Author: Daniel Ho , Elizabeth Stuart , Kosuke Imai , Gary King
Maintainer: Kosuke Imai

Diff between MatchIt versions 2.4-16 dated 2011-01-10 and 2.4-17 dated 2011-04-04

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Package LaplacesDemon updated to version 11.04.04 with previous version 11.03.27 dated 2011-03-28

Title: Software for Bayesian Inference
Description: Laplace's Demon is software for Bayesian inference.
Author: Byron Hall
Maintainer: Byron Hall

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Package CORElearn updated to version 0.9.34 with previous version 0.9.33 dated 2011-03-26

Title: CORElearn - classification, regression, feature evaluation and ordinal evaluation
Description: CORElearn is machine learning suite ported to R from standalone C++ package. It contains several model learning techniques in classification and regression, for example classification and regression trees with optional constructive induction and models in the leafs, random forests, kNN, naive Bayes, and locally weighted regression. It is especially strong in feature evaluation algorithms where it contains several variants of Relief algorithm and many impurity based attribute evaluation functions, e.g., Gini, information gain, MDL, DKM, ... Its additional strength is ordEval algorithm and its visualization used for ordinal features and class. Several algorithms support parallel multithreaded execution via OpenMP. Windows binary versions supporting multithreading are available on package website, as CRAN uses different toolchain. The top level documentation is reachable through ?CORElearn.
Author: Marko Robnik-Sikonja , Petr Savicky
Maintainer: Marko Robnik-Sikonja

Diff between CORElearn versions 0.9.33 dated 2011-03-26 and 0.9.34 dated 2011-04-04

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