BinNonNor: Data Generation with Binary and Continuous Non-normal Components. Generation of multiple binary and continuous non-normal variables simultaneously given the marginal characteristics and association structure based on the methodology proposed by Demirtas et al. (2012).
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Keith Goldfeld; Jacob Wujciak-Jens: simstudy: Illuminating research methods through data generation (2020) not zbMATH
- Demirtas, Hakan; Ahmadian, Robab; Atis, Sema; Can, Fatma Ezgi; Ercan, Ilker: A nonnormal look at polychoric correlations: modeling the change in correlations before and after discretization (2016)
- Demirtas, Hakan; Amatya, Anup; Doganay, Beyza: Binnor: an (\mathcalR) package for concurrent generation of binary and normal data (2014)