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OrdNor: An R Package for Concurrent Generation of Correlated Ordinal and Normal Data

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  • Amatya, Anup
  • Demirtas, Hakan

Abstract

In this article, operational details of the R package OrdNor that is designed for the concurrent generation of correlated ordinal and normal data are described, and examples of some important functions are given. The package provides needed tools that have been lacking for generating multivariate data with a mixture of ordinal and normal components.

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  • Amatya, Anup & Demirtas, Hakan, 2015. "OrdNor: An R Package for Concurrent Generation of Correlated Ordinal and Normal Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(c02).
    • Handle: RePEc:jss:jstsof:v:068:c02
    DOI: http://hdl.handle.net/10.18637/jss.v068.c02
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    References listed on IDEAS

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    1. Demirtas, Hakan & Hedeker, Donald, 2011. "A Practical Way for Computing Approximate Lower and Upper Correlation Bounds," The American Statistician, American Statistical Association, vol. 65(2), pages 104-109.
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    Cited by:

    1. Hakan Demirtas & Robab Ahmadian & Sema Atis & Fatma Ezgi Can & Ilker Ercan, 2016. "A nonnormal look at polychoric correlations: modeling the change in correlations before and after discretization," Computational Statistics, Springer, vol. 31(4), pages 1385-1401, December.
    2. Prosenjit Kundu & Nilanjan Chatterjee, 2023. "Logistic regression analysis of two‐phase studies using generalized method of moments," Biometrics, The International Biometric Society, vol. 79(1), pages 241-252, March.
    3. Alessandro Barbiero, 2021. "Inducing a desired value of correlation between two point-scale variables: a two-step procedure using copulas," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 105(2), pages 307-334, June.
    4. Asokan Mulayath Variyath & Anita Brobbey, 2020. "Variable selection in multivariate multiple regression," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-15, July.

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