An R package for the simulation of correlated discrete variables

DOI10.1080/03610918.2016.1146758zbMath1377.65011OpenAlexW2327983471WikidataQ59418088 ScholiaQ59418088MaRDI QIDQ4593839

Pier Alda Ferrari, Alessandro Barbiero

Publication date: 15 November 2017

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2016.1146758

zbMATH Keywords

numerical examplespackagecorrelation matrixGaussian copulamultivariate discrete distribution

Mathematics Subject Classification ID

Measures of association (correlation, canonical correlation, etc.) (62H20) Packaged methods for numerical algorithms (65Y15)

Related Items (5)

Matching a correlation coefficient by a Gaussian copula ⋮ Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway–Maxwell–Poisson distribution ⋮ A flexible multivariate model for high-dimensional correlated count data ⋮ Inducing a desired value of correlation between two point-scale variables: a two-step procedure using copulas ⋮ Goodman and Kruskal's gamma coefficient for ordinalized bivariate normal distributions

Uses Software

• R
• mvtnorm
• prefmod
• MultiOrd
• GenOrd
• PoisNor
• OrdNor
• PoisBinOrdNor
• PoisBinOrdNonNor
• SimCorMultRes
• BinOrdNonNor

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