An object containing the results returned by a the kmbayes function

a vector of outcome data of length n.

an n-by-M matrix of predictor variables to be included in the h function. Each row represents an observation and each column represents an predictor.

an n-by-K matrix of covariate data where each row represents an observation and each column represents a covariate. Should not contain an intercept column.

optional matrix of new predictor values at which to predict h, where each row represents a new observation. This will slow down the model fitting, and can be done as a post-processing step using SamplePred

A vector selecting which iterations of the BKMR fit should be retained for inference. If not specified, will default to keeping every 10 iterations after dropping the first 50% of samples, or if this results in fewer than 100 iterations, than 100 iterations are kept