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Introducing the permutations R package
Here I introduce the R package permutations, for manipulating permutations of a finite set. I show how the package has been used to investigate the megaminx puzzle and exhibit an 82-turn superflip that represents a new lower bound for this operation.
Robin K.S. Hankin
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image2data: An R package to turn images in data sets [PDF]
Data visualization is an essential and powerful tool to generate hypotheses, uncover patterns, and disseminate findings. It is crucial that introductory statistics courses train students to become critical authors and consumers of data visualization ...
Caron, Pier-Olivier, Dufresne, Alexandre
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Cognitively Diagnostic Analysis Using the G-DINA Model in R
Cognitive diagnosis models (CDMs) have increasingly been applied in education and other fields. This article provides an overview of a widely used CDM, namely, the G-DINA model, and demonstrates a hands-on example of using multiple R packages for a ...
Qingzhou Shi +4 more
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Background Finding meaningful gene-gene interaction and the main Transcription Factors (TFs) in co-expression networks is one of the most important challenges in gene expression data mining. Results Here, we developed the R package “CeTF” that integrates
Carlos Alberto Oliveira de Biagi +7 more
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Multivariate Normal Variance Mixtures in R: The R Package nvmix
We present the features and implementation of the R package nvmix for the class of normal variance mixtures including Student t and normal distributions.
Erik Hintz +2 more
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Writing Effective and Reliable Monte Carlo Simulations with the SimDesign Package [PDF]
The purpose of this tutorial is to discuss and demonstrate how to write safe, effective, and intuitive computer code for Monte Carlo simulation experiments containing one or more simulation factors.
Chalmers, R. Philip, Adkins, Mark C.
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corr2D: Implementation of Two-Dimensional Correlation Analysis in R
In the package corr2D two-dimensional correlation analysis is implemented in R. This paper describes how two-dimensional correlation analysis is done in the package and how the mathematical equations are translated into R code.
Robert Geitner +3 more
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Random Samples Generation from Neutrosophic Distributions Using the neutrostat Package in R [PDF]
Random sample generation plays a fundamental role in statistical simulation, model validation, and performance evaluation. In the context of neutrosophic statistics, where uncertainty, indeterminacy, and imprecision are explicitly modeled, generating ...
M. I. Khan +2 more
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Plant breeders have to employ strategies and techniques to produce new improved wheat cultivars to increase productivity to meet the needs of the growing population.
Al-Issawi Mohammed +8 more
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Decomp2d: An R solution for image decomposition
The subjects of image processing include feature extraction, compression, denoising, image enhancement, and restoration. Many softwares have been developed for these studies.
Hee-Seok Oh, Guebin Choi, Donghoh Kim
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