Sun, 10 Aug 2014

Package threeboost updated to version 1.1 with previous version 1.0 dated 2014-06-27

Title: Thresholded variable selection and prediction based on estimating equations
Description: This package implements a thresholded version of the EEBoost algorithm described in [Wolfson (2011, JASA)]. EEBoost is a general-purpose method for variable selection which can be applied whenever inference would be based on an estimating equation. The package currently implements variable selection based on the Generalized Estimating Equations, but can also accommodate user-provided estimating functions. Thresholded EEBoost is a generalization which allows multiple variables to enter the model at each boosting step.
Author: Julian Wolfson and Christopher Miller
Maintainer: Julian Wolfson

Diff between threeboost versions 1.0 dated 2014-06-27 and 1.1 dated 2014-08-10

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New package summarytools with initial version 0.1
Package: summarytools
Type: Package
Title: Dataframe Summaries, Frequency Tables and Numerical Summaries with Customizable Output
Version: 0.1
Date: 2014-08-06
Author: Dominic Comtois
Maintainer: Dominic Comtois
Description: Includes 4 summarizing functions; two are to be used with uni-dimensional data, and the two others with dataframes. For uni-dimensional data, 'unistats' will generate common central tendency statistics and measures of dispersion for numerical data and 'frequencies' will generate a table of frequencies with counts and percentages (including cumulative). Both functions report number and proportion of valid values vs NA values. For dataframes, 'dfSummary' will generate a table containing as many rows as there are columns in the dataframe, each row giving variable information (class and type), labels if any, common statistics for numerical data and frequency tables for any type of data, along with number and proportion of valid (non-missing) values. Finally, 'properties' will conveniently report attributes of a dataframe object itself and also of all its individual components (columns).
Imports: Hmisc, pander, timeDate
License: GPL-2
Packaged: 2014-08-10 19:21:41 UTC; dominic
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-08-11 00:05:36

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Package RWebLogo updated to version 1.0.3 with previous version 1.0.2 dated 2014-07-02

Title: plotting custom sequence logos
Description: RWebLogo is a wrapper for the WebLogo python package that allows generating of customised sequence logos. Sequence logos are graphical representations of the sequence conservation of nucleotides (in a strand of DNA/RNA) or amino acids (in protein sequences). Each logo consists of stacks of symbols, one stack for each position in the sequence. The overall height of the stack indicates the sequence conservation at that position, while the height of symbols within the stack indicates the relative frequency of each amino or nucleic acid at that position. In general, a sequence logo provides a richer and more precise description of, for example, a binding site, than would a consensus sequence.
Author: Omar Wagih
Maintainer: Omar Wagih

Diff between RWebLogo versions 1.0.2 dated 2014-07-02 and 1.0.3 dated 2014-08-10

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Package psych updated to version 1.4.8 with previous version 1.4.5 dated 2014-05-14

Title: Procedures for Psychological, Psychometric, and Personality Research
Description: A number of routines for personality, psychometrics and experimental psychology. Functions are primarily for scale construction using factor analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for simulating particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometrics as well as publications in personality research. For more information, see the personality-project.org/r webpage.
Author: William Revelle
Maintainer: William Revelle

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Package PivotalR updated to version 0.1.16.17 with previous version 0.1.16.12 dated 2014-06-11

Title: R front-end to PostgreSQL and Pivotal (Greenplum) database, wrapper for MADlib
Description: R interface of Pivotal Data Fabrics running on PostgreSQL or Pivotal (Greenplum) database with parallel and distributed computation ability for big data analytics. PivotalR is a package that enables users of R to interact with the Pivotal (Greenplum) Database as well as Pivotal HD/HAWQ for Big Data analytics. It does so by providing an interface to the operations on tables/views in the database. These operations are almost the same as those of data.frame. Thus the users of R do not need to learn SQL when they operate on the objects in the database. It also provides a wrapper for MADlib, which is an open-source library for parallel and scalable in-database analytics.
Author: Predictive Analytics Team at Pivotal Inc. , with contributions from Data Scientist Team at Pivotal Inc.
Maintainer: Hai Qian

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Package mixOmics updated to version 5.0-2 with previous version 5.0-1 dated 2013-11-10

Title: Omics Data Integration Project
Description: The package provide statistical integrative techniques and variants to analyse highly dimensional data sets: regularized CCA and sparse PLS to unravel relationships between two heterogeneous data sets of size (nxp) and (nxq) where the p and q variables are measured on the same samples or individuals n. These data may come from high throughput technologies, such as omics data (e.g. transcriptomics, metabolomics or proteomics data) that require an integrative or joint analysis. However, mixOmics can also be applied to any other large data sets where p + q >> n. rCCA is a regularized version of CCA to deal with the large number of variables. sPLS allows variable selection in a one step procedure and two frameworks are proposed: regression and canonical analysis. Numerous graphical outputs are provided to help interpreting the results. Recent methodological developments include: sparse PLS-Discriminant Analysis, Independent Principal Component Analysis and multilevel analysis using variance decomposition of the data.
Author: Sebastien Dejean, Ignacio Gonzalez, Kim-Anh Le Cao with contributions from Pierre Monget, Jeff Coquery, FangZou Yao, Benoit Liquet, Florian Rohart
Maintainer: Kim-Anh Le Cao

Diff between mixOmics versions 5.0-1 dated 2013-11-10 and 5.0-2 dated 2014-08-10

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Package lgtdl updated to version 1.1.3 with previous version 1.1.1 dated 2010-04-13

Title: A set of methods for longitudinal data objects.
Description: A very simple implementation of a class for longitudinal data.
Author: R. Gentleman
Maintainer: ORPHANED

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Package tiger updated to version 0.2.3.1 with previous version 0.2.3 dated 2013-08-12

Title: TIme series of Grouped ERrors
Description: Temporally resolved groups of typical differences (errors) between two time series are determined and visualized
Author: Dominik Reusser
Maintainer: Dominik Reusser

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New package alleHap with initial version 0.7.2
Package: alleHap
Type: Package
Title: Allele simulation and Haplotype reconstruction from pedigree databases
Version: 0.7.2
Date: 2014-08-10
Author: Nathan Medina-Rodriguez and Angelo Santana
Maintainer: Nathan Medina-Rodriguez
Description: This package contains tools for simulating alphanumeric alleles from parent-offspring pedigree databases to later reconstruct the corresponding non-recombinant haplotypes. Allelic simulations can be implemented taking into account many different factors (such as number of families, markers, alleles per marker, probability of missing genotypes, recombination rate, etc). Haplotype reconstruction can be performed even with missing data.
Imports: gtools
License: GPL (>= 2)
Packaged: 2014-08-10 15:24:46 UTC; nmr-mac
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-08-10 17:40:21

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Package vrtest updated to version 0.97 with previous version 0.96 dated 2014-04-22

Title: Variance Ratio tests and other tests for Martingale Difference Hypothesis
Description: A collection of statistical tests for martingale difference hypothesis
Author: Jae H. Kim
Maintainer: Jae H. Kim

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Package pdfetch updated to version 0.1.5 with previous version 0.1.4 dated 2014-07-23

Title: Fetch economic and financial time series data from public sources
Description: A package for downloading economic and financial time series from public sources.
Author: Abiel Reinhart
Maintainer: Abiel Reinhart

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Package wppExplorer updated to version 1.3-0 with previous version 1.2-0 dated 2013-12-20

Title: Explorer of World Population Prospects
Description: A shiny interface for exploring data in wpp2008-wpp2012 packages.
Author: Hana Sevcikova
Maintainer: Hana Sevcikova

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Package extraTrees updated to version 1.0.1 with previous version 0.4-5 dated 2013-10-05

Title: ExtraTrees method
Description: A package implementing ExtraTrees method for classification and regression. Uses Java implementation of the method.
Author: Jaak Simm, Ildefons Magrans de Abril
Maintainer: Jaak Simm

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