Binnor: an R package for concurrent generation of binary and normal data. This article describes the R package BinNor, which is designed for generating multiple binary and normal variables simultaneously given marginal characteristics and association structure via combining well-established results from the random number generation literature, based on the methodology proposed by Demirtas and Doganay.
Keywords for this software
References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Turley, Falynn C.; Redden, David; Case, Janice L.; Katholi, Charles; Szychowski, Jeff; Dubay, Derek: Comparison of type I error rates and statistical power of different propensity score methods (2018)
- Demirtas, Hakan; Amatya, Anup; Doganay, Beyza: Binnor: an (\mathcalR) package for concurrent generation of binary and normal data (2014)
- Preisser, John S.; Qaqish, Bahjat F.: A comparison of methods for simulating correlated binary variables with specified marginal means and correlations (2014)