Mixed data generation packages and related computational tools in R

DOI10.1080/03610918.2020.1745841OpenAlexW3014743213WikidataQ114100467 ScholiaQ114100467MaRDI QIDQ5867483

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Publication date: 14 September 2022

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

Full work available at URL: https://doi.org/10.1080/03610918.2020.1745841

zbMATH Keywords

random number generationstochastic simulationmultivariatemixed dataunivariate

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• R
• MASS (R)
• LMOMENTS
• Binnor
• MultiOrd
• PoisNor
• OrdNor

Cites Work

• Unnamed Item
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• Generating Bivariate Uniform Data with a Full Range of Correlations and Connections to Bivariate Binary Data
• MultiOrd: An R Package for Generating Correlated Ordinal Data
• Concurrent generation of binary and nonnormal continuous data through fifth-order power polynomials
• Statistical Simulation
• A simple approach to the generation of uniformly distributed random variables with prescribed correlations
• Concurrent generation of multivariate mixed data with variables of dissimilar types
• Simultaneous generation of multivariate mixed data with Poisson and normal marginals
• PoisNor: An R package for generation of multivariate data with Poisson and normal marginals
• On generating multivariate Poisson data in management science applications
• BinNor: An R Package for Concurrent Generation of Binary and Normal Data
• A method for multivariate ordinal data generation given marginal distributions and correlations
• Inducing Any Feasible Level of Correlation to Bivariate Data With Any Marginals
• A Note on the Relationship Between the Phi Coefficient and the Tetrachoric Correlation Under Nonnormal Underlying Distributions

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