Fits a BKMR model with significance criteria: PIP and group-wise PIP
bkmr_wrapper(y, x, args = list())
A list of vectors whose values are between 0 and 1
PIP for component-wise selection or conditional (with-in group) PIP for hierarchical variable selection.
PIP for group-specific selection.
elapsed time to fit the model.
A vector of outcome
A matrix of predictors
A list of arguments, see R function `bkmr::kmbayes()`
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.