Takes a fitted frfast
object and produces predictions
(with their 95% confidence intervals) from a fitted model with
interactions or without interactions.
1 2 3 
object 
A fitted 
newdata 
A data frame containing the values of the model covariates at which predictions are required. If newdata is provided, then it should contain all the variables needed for prediction: a warning is generated if not. 
fac 
Factor's level to take into account. By default is 
der 
Number which determines any inference process. By default

seed 
Seed to be used in the bootstrap procedure. 
... 
Other options. 
predict.frfast
computes and returns a list containing
predictions of the estimates, first and second derivative,
with their 95% confidence intervals.
Marta Sestelo, Nora M. Villanueva and Javier RocaPardinas.
1 2 3 4 5 6 7 8 9 10 11 12 13 14  library(npregfast)
data(barnacle)
# Nonparametric regression without interactions
fit < frfast(DW ~ RC, data = barnacle, nboot = 100)
nd < data.frame(RC = c(10, 14, 18))
predict(fit, newdata = nd)
# Nonparametric regression with interactions
# fit2 < frfast(DW ~ RC : F, data = barnacle, nboot = 100)
# nd2 < data.frame(RC = c(10, 15, 20))
# predict(fit2, newdata = nd2)
# predict(fit2, newdata = nd2, der = 0, fac = "barca")

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
Please suggest features or report bugs with the GitHub issue tracker.
All documentation is copyright its authors; we didn't write any of that.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.