[PDF] Top 20 An R package for analyzing and modeling ranking data
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An R package for analyzing and modeling ranking data
... Label ranking is defined as the problem of classifying a judge’s ranking over a set of items given the covariate of this judge and a training ...the ranking of judge i, we can first select the ... See full document
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The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets
... We illustrate the user interface and the interaction between the packages in the arules ecosystem with a small example using a retail data set called Groceries which contains 9835 transactions with items ... See full document
5
ExpDes: An R Package for ANOVA and Experimental Designs
... in R using some specific packages. First of all, we have the basic package stats, that contains standard (general) functions for analyzing data from designed experiments, such as lm() and ... See full document
8
AffectiveTweets: a Weka Package for Analyzing Affect in Tweets
... There is no existing tool for building affective models for tweets implementing all the functionalities provided by AffectiveTweets, but some related tools exist. The Stanford CoreNLP software allows training recursive ... See full document
6
MmPalateMiRNA, an R package compendium illustrating analysis of miRNA microarray data
... for analyzing mRNA expression arrays can be applied to the analysis of miRNA data, there are distinct differences between the two platforms which necessitate special use of some methods (see overviews by ... See full document
20
StMoMo: An R Package for Stochastic Mortality Modelling
... mortality data for ...mortality data to compare several simulation strategies for assessing the risk in mortality projections with a Poisson Lee-Carter ...when analyzing the mortality of smaller ... See full document
40
Statistical analysis of human tuberculosis microarray gene expression data in the bioconductor R package
... microarray data, it is very difficult to analyze microarray data despite availabilities of many tools for analyzing microarray data, but the usage of these tools depends on the objectives of ... See full document
27
chemmodlab: a cheminformatics modeling laboratory R package for fitting and assessing machine learning models
... The next series of plots (Fig. 3) is the “methods” series. When the Split 1 descriptor set performances are com- pared for the SVM method, the Pharmacophore finger- prints have considerably worse performance than the ... See full document
20
A joint regression modeling framework for analyzing bivariate binary data in R
... The R [43] package GJRM [Generalised Joint Regression Modelling, 34] implements a flexible joint modeling framework for fitting a number of multivariate response regression models under various ... See full document
28
Spatio-temporal areal unit modeling in R with conditional autoregressive priors using the CARBayesST package
... CARBayesST package, which is the first software package dedicated to fitting spatio-temporal CAR-type models to areal unit ...this package, compared to say implementing the models in BUGS , is its ... See full document
39
lsasim: an R package for simulating large-scale assessment data
... those data are fundamentally constricted to a particular design and by extant ...of data that mimics the large scale assessment context to the extent ...simulating data that adhere to general proper- ... See full document
33
Baayen2008 analyzing linguistic data with R draft pdf
... The second thing to note is that lrm() assumes that the effects of our predictors, NcountStem , Regularity and Denominative , are the same, irrespective of the cutoff point for etymological age. In other words, these ... See full document
200
An R package for modeling and simulating generalized spherical and related distributions
... multivariate data with nonstandard dependence ...The R package gensphere has been developed that allows one to work with these classes of distributions: specifying flexible shapes for the level sets, ... See full document
11
Analyzing Returns and Pattern of Financial Data Using Log linear Modeling
... Stock market always attracts the investors to invest money according to their choice from which large profits can be earned. Fundamental driver behind maximizing profit is the strategy of buying and selling of the ... See full document
7
An R package implementation of multifactor dimensionality reduction
... high-dimensional data is now available with unprecedented numbers of genetic markers to perform association map- ping in human ...and data-mining approaches to variable selection are frequent meth- ods of ... See full document
8
rentrez: An R package for the NCBI eUtils API
... as R objects. Here I present an example of a small package that performs both of these ...a package called ‘tidytaxonomy’ that can be used to explore the taxonomic diversity of various NCBI ... See full document
8
Image Re Ranking by Analyzing GLCM and Color Features
... In [5] Color Co-occurrence Matrix is common visual feature of the image for its representation. In order to understand Color Co-occurrence Matrix, the even color area of the image tends to generate the diagonal values of ... See full document
5
Bradley Terry models in R : the BradleyTerry2 package
... the data frame contests that is the first element of the list object ...another data frame, predictors, containing measurements on the observed lizards, including SVL, which is the snout to vent ...lme4 ... See full document
22
An Analysis of the Application of Selected SEO Techniques pdf
... 6. Customization of 404 Error Pages – An Error 404 “Page not found” is displayed whenever a visitor requests a web page that no longer exists. The final results of their study indicated that Page Size, Customization of ... See full document
137
KC SMARTR: An R package for detection of statistically significant aberrations in multi experiment aCGH data
... Background: Most approaches used to find recurrent or differential DNA Copy Number Alterations (CNA) in array Comparative Genomic Hybridization (aCGH) data from groups of tumour samples depend on the ... See full document
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