predict.BayesMfp {bfp} | R Documentation |
Predict new responses from a single multiple FP model.
## S3 method for class 'BayesMfp' predict(object, newdata, ...)
object |
valid |
newdata |
new covariate data with exactly the names (and
preferably ranges) as for the original |
... |
unused |
Daniel Saban\'es Bov\'e
## generate a BayesMfp object set.seed(19) x1 <- rnorm(n=15) x2 <- rbinom(n=15, size=20, prob=0.5) x3 <- rexp(n=15) y <- rt(n=15, df=2) test <- BayesMfp(y ~ bfp (x2, max = 4) + uc (x1 + x3), nModels = 100, method="exhaustive") ## predict new responses at (again random) covariates predict(test, newdata = list(x1 = rnorm (15), x2 = rbinom (n=15, size=5, prob=0.2) + 1, x3 = rexp (15)))