Predict (or evaluate) a Spline Density.

Usage

# S3 method for SplineDensity
predict(object, newdata = NULL, deriv = 0, ...)

Arguments

object

A SplineDensity object.

newdata

Numeric vector giving the values where the density (or its derivative) will be evaluated.

deriv

Integer giving the a derivation order. It can be set to \(-1\) to get the indefinite integral.

...

Not used yet.

Value

A list containing two numeric vectors x and y

representing the prediction abscissae and the corresponding predicted values.

Details

The density or one of its derivatives or the cumulative distribution function is evaluated at the points given in newdata.

Examples

set.seed(1234)
SD <- rSplineDensity(order = 4, xmax = 10)
#> Warning: Recycling array of length 1 in vector-array arithmetic is deprecated.
#>   Use c() or as.vector() instead.
xg <- seq(from = -1, to = 11, length.out = 200)
p <- predict(SD, newdata = xg)
plot(p, type = "l", main = "density")

pm1 <- predict(SD, newdata = xg, deriv = -1)
plot(pm1, type = "l", main = "cdf")