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.

vector identifying which predictors (columns of Z) should be plotted

method for obtaining posterior summaries at a vector of new points. Options are "approx" and "exact"; defaults to "approx", which is faster particularly for large datasets; see details

number of grid points to cover the range of each predictor (column in Z)

vector of quantiles at which to fix the remaining predictors in Z

logical expression indicating samples to keep; defaults to keeping the second half of all samples

specifies a minimum distance that a new grid point needs to be from an observed data point in order to compute the prediction; points further than this will not be computed

flag for whether to scale the exposure-response function to have mean zero

optional vector of names for the columns of z

other argumentd to pass on to the prediction function