predict.frfast {npregfast} | R Documentation |
Prediction from fitted frfast
model
Description
Takes a fitted frfast
object and produces predictions
(with their 95% confidence intervals) from a fitted model with
interactions or without interactions.
Usage
## S3 method for class 'frfast'
predict(object = model, newdata, fac = NULL, der = NULL, seed = NULL, ...)
Arguments
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. |
Value
predict.frfast
computes and returns a list containing
predictions of the estimates, first and second derivative,
with their 95% confidence intervals.
Author(s)
Marta Sestelo, Nora M. Villanueva and Javier Roca-Pardinas.
Examples
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")