mc.cores.openmp: Detecting OpenMP

In BartMixVs: Variable Selection Using Bayesian Additive Regression Trees

Detecting OpenMP

Description

This function is inherited from the CRAN R package 'BART' and was designed for OpenMP. For example, the pwbart function can use OpenMP or the 'parallel' R package for multi-threading. On UNIX/Unix-like systems, OpenMP, if available, is discovered at install time. However, we know of no GPL licensed code available to detect OpenMP on Windows (for Artistic licensed OpenMP detection code on Windows, see the Bioconductor R package 'rGADEM'). To determine whether OpenMP is available at run time, we provide the function documented here.

Usage

mc.cores.openmp()

Value

This function returns 0 when OpenMP is not available; otherwise, an integer greater than 0 is returned when OpenMP is available (1 is returned unless you are running in a multi-threaded process)

Author(s)

Chuji Luo: [e-mail] and Michael J. Daniels: [e-mail].

References

Chipman, H. A., George, E. I. and McCulloch, R. E. (2010). "BART: Bayesian additive regression trees." Ann. Appl. Stat. 4 266–298.

Linero, A. R. (2018). "Bayesian regression trees for high-dimensional prediction and variable selection." J. Amer. Statist. Assoc. 113 626–636.

Luo, C. and Daniels, M. J. (2021) "Variable Selection Using Bayesian Additive Regression Trees." arXiv preprint arXiv:2112.13998.

Rockova V, Saha E (2019). “On theory for BART.” In The 22nd International Conference on Artificial Intelligence and Statistics (pp. 2839–2848). PMLR.

Sparapani, R., Spanbauer, C. and McCulloch, R. (2021). "Nonparametric machine learning and efficient computation with bayesian additive regression trees: the BART R package." J. Stat. Softw. 97 1–66.

See Also

pwbart.

Examples

 
mc.cores.openmp()

BartMixVs documentation built on May 5, 2022, 9:05 a.m.