bkmr_wrapper {mpower}

Fits a BKMR model with significance criteria: PIP and group-wise PIP

Description

Fits a BKMR model with significance criteria: PIP and group-wise PIP

Usage

bkmr_wrapper(y, x, args = list())

Arguments

y

A vector of outcome

x

A matrix of predictors

args

A list of arguments, see R function 'bkmr::kmbayes()'

Value

A list of vectors whose values are between 0 and 1

pip

PIP for component-wise selection or conditional (with-in group) PIP for hierarchical variable selection.

group_pip

PIP for group-specific selection.

time

elapsed time to fit the model.

Reference

Bobb JF, Henn BC, Valeri L, Coull BA (2018). “Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression.”Environ-mental Health,17(67).doi:10.1186/s12940-018-0413-y.