bootuniR1: Parametric bootstrap on the univariate R (uniR) object

Description

It generates correlation matrices with the parametric bootstrap on the univariate R (uniR) object.

Usage

bootuniR1(x, Rep, nonPD.pop=c("replace", "nearPD", "accept"))

Value

An object of the generated correlation matrices.

Arguments

x: An object of class 'uniR1'
Rep: Number of replications of the parametric bootstrap
nonPD.pop: If it is replace, generated non-positive definite matrices are replaced by generated new ones which are positive definite. If it is nearPD, they are replaced by nearly positive definite matrices by calling Matrix::nearPD(). If it is accept, they are accepted.

Author

Mike W.-L. Cheung <mikewlcheung@nus.edu.sg>

Details

This function implements the parametric bootstrap approach suggested by Yu et al. (2016). It is included in this package for research interests. Please refer to Cheung (2018) for the issues associated with this parametric bootstrap approach.

References

Cheung, M. W.-L. (2018). Issues in solving the problem of effect size heterogeneity in meta-analytic structural equation modeling: A commentary and simulation study on Yu, Downes, Carter, and O'Boyle (2016). Journal of Applied Psychology, 103, 787-803.

Yu, J. (Joya), Downes, P. E., Carter, K. M., & O'Boyle, E. H. (2016). The problem of effect size heterogeneity in meta-analytic structural equation modeling. Journal of Applied Psychology, 101, 1457-1473.