Joern P. Meier, Johannes Berg, Maintainer Joern P. Meier · 2013
Description Graph alignment is an extension package for the R programming environment which pro-vides functions for finding an alignment between two networks based on link and node similar-ity scores. (J. Berg and M. Laessig, ‘‘Cross-species analysis of biological net-
Cited by 0
David Magis (u Liege, Sebastien Bel, Gilles Raiche (uqam et al. · 2011
Title Collection of methods to detect dichotomous differential item functioning (DIF) in psychometrics
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Ben Wittner, Colin Smith, Florian Battke et al. · 2013
Imports graphics Description Non-parametric method for identifying differentially expressed (up- or down- regulated) genes based on the estimated percentage of false predictions (pfp). The method can combine data sets from different origins (meta-analysis) to increase the power of the identification.
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Jeff Gentry, Li Long, Robert Gentleman et al. · 2013
Title Provides plotting capabilities for R graph objects Description Interfaces R with the AT and T graphviz library for plotting R graph objects from the graph package. Users on all platforms must install graphviz; see the README file,available in the source distribution of this file, for details. Version 2.2.1
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Ben B. Hansen, Mark Fredrickson, Dimitri P. Bertsekas <dimitrib@mit. Edu et al. · 2013
Date/Publication 2013-08-10 00:55:41 1 2 R topics documented: R topics documented: caliper............................................ 3 caliperSize.......................................... 5 caliperUpperBound..................................... 5 dist_digest.......................................... 6 effectiveSampleSize..................................... 7 exactMatch-methods.................................... 7 fill.NAs........................................... 9 fmla2treatedblocking.................................... 11 fullmatch.......................................... 12 getMaxProblemSize..................................... 15 makeInfinitySparseMatrix................................. 16 makeOptmatch....................................... 17
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Xiangli Zhang, Natalie Bjorklund, Graham Alvare et al. · 2014
Description Elbow an improved fold change test that uses cluster analysis and pattern recognition to set cut off limits that are derived directly from intrareplicate variance without assuming a normal distribution for as few as 2 biological replicates. Elbow also provides the same consistency as fold testing in cross platform analysis. Elbow has lower false positive and false negative rates than standard fold testing when both are evaluated using T testing and Statistical Analysis of Microarray using 12 replicates (six replicates each for initial and final conditions). Elbow provides a null value based on initial condition replicates and gives error bounds for results to allow better evaluation of significance.
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Depends R, Needscompilation Yes · 2014
Description Interface to a large number of classification and regression techniques, including machine-readable parameter descriptions. There is also an experimental extension for survival analysis, clustering and general, example-specific cost-sensitive learning. Generic resampling,including cross-validation, bootstrapping and subsampling. Hyperparameter tuning with modern optimization techniques, for single- and multi-objective problems. Filter and wrapper methods for feature selection. Extension of basic learners with additional operations common in machine learning, also allowing for easy nested resampling. Most operations can be parallelized.
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Murray Stokely, Maintainer Murray Stokely, Enhances Rprotobuf et al. · 2013
Description This package provides a number of utility functions useful for manipulating large histograms. This includes methods to trim, subset, merge buckets, merge histograms, convert to CDF, and calculate information loss due to binning. It also provides a protocol buffer representations of the default R histogram class to allow histograms over large data sets to be computed and manipulated in a MapReduce environment.
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Dave Siev, Lazyload Yes, Lazydata Yes · 2014
Description Functions related to PF (prevented fraction). Calculate incidence density ratio, confi-dence interval, and Rao-Scott weights of PF by multiple meth-ods. See
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Depends R, Lazyload Yes, Needscompilation No · 2014
Description In this package, we introduce Object Oriented Data Analysis (OODA) methods to ana-lyze Human Microbiome taxonomic trees directly. We provide tools to model, compare, and vi-sualize populations of taxonomic tree objects.
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Jan Gorecki, Needscompilation No · 2014
Description Utilities related to Bitcoin: markets API interface (mtgox,bitstamp, btce, kraken). Both public and private API calls. Integration of data structures for all markets. Support HTTP over SSL. Debug messages of Rbitcoin, debug messages of RCurl, error handling. Read Rbitcoin documentation (command:?btc) for more information.
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Huang Ronggui, Lazyload Yes, Needscompilation No · 2014
R topics documented: RQDA-package....................................... 2 casesCodedBy........................................ 3 codingBySearch....................................... 4 crossCodes......................................... 6 Deletion........................................... 7 exportCodedFile...................................... 8 exportCodings........................................ 9 filesByCodes........................................ 10 filesCodedBy........................................ 10 getAttr............................................ 11 getCases........................................... 13 getCodingsByOne...................................... 14 getCodingTable....................................... 15 getFileIdSets........................................ 16
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Daniel Percival, Maintainer Daniel Percival, Lazyload Yes · 2013
Description For data where the observations occur or are collected in a stratified fashion, the strata level effect is sometimes not of interest or is simply impossible to estimate. Conditioning on the strata eliminates these difficulties, but leads to a combinatorially complex calculation. The spherical approximate method replaces this complex calculation with a closed form solution, leading to a simple fixed point iteration method for fitting the linear model. This package implements linear model fitting via Stratasphere(), and stepwise regression and boosting extensions via StratasphereStep() and StratasphereBoost(), respectively. Note that this package is distributed under the Apache 2.0 license.
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James Lovato, Kathy Russel, Lazyload True et al. · 2015
Description A set of routines written in the S language that calculate power and related quantities utilizing asymptotic likelihood ratio methods.
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John Marden [aut, James Balamuta [cre, Maintainer James Balamuta et al. · 2014
R topics documented: msos-package........................................ 2 births............................................ 3 bothsidesmodel....................................... 4 bothsidesmodel.chisquare.................................. 5 bothsidesmodel.df...................................... 6 bothsidesmodel.hotelling.................................. 7 bothsidesmodel.lrt...................................... 8 bothsidesmodel.mle..................................... 9 bsm.fit............................................ 10 bsm.simple......................................... 11 caffeine........................................... 12 cars............................................. 13
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Lazyload Yes, Lazydata Yes, Needscompilation No · 2014
Description Taxonomic information from around the web. This package interacts with a suite of web APIs for taxonomic tasks, such as verifying species names, getting taxonomic hierarchies,and verifying name spelling. Title Taxonomic information from around the web. Version 0.3.0
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Ronggui Huang, Lazyload Yes, Lazydata Yes et al. · 2015
Description A set of functions for Qualitative Comparative Analysis (QCA). It can be used for vari-ous types of QCA (csQCA, mvQCA fsQCA and crip set TQCA and time-serious QCA). It has methods for simplifying assumption, contradictory simplifying assumption.
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Steven Boker, Michael Neale, Hermine Maes et al. · 2009
Description The OpenMx Project intends to rewrite and extend the popular statistical package Mx to address the challenges facing a large range of modern statistical problems such as: the difficulty of measuring behavioral traits; the availability of technologies- such as such as magnetic resonance imaging, continuous physiological monitoring and microarrays- which generate extremely large amounts of data often with complex time-dependent patterning; and increased sophistication in the statistical models used to analyze the data.
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Olli-pekka Huovilainen, Leo Lahti, Maintainer Olli-pekka Huovilainen · 2014
Description Pairwise data integration for functional genomics, includ-ing tools for DNA/RNA/miRNA dependency screens.
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Jean A. Proehl · Journal of Emergency Nursing · 1999
Cited by 0Open access