splines2 (version 0.3.1)

predict: Evaluate a Spline Basis at specified points

Description

This function evaluates a predefined spline basis at a (new) given x.

Usage

# S3 method for bSpline2
predict(object, newx, ...)
# S3 method for ibs
predict(object, newx, ...)
# S3 method for dbs
predict(object, newx, ...)
# S3 method for mSpline
predict(object, newx, ...)
# S3 method for iSpline
predict(object, newx, ...)
# S3 method for cSpline
predict(object, newx, ...)
# S3 method for bernsteinPoly
predict(object, newx, ...)

Arguments

object

Objects of class bSpline2, ibs, mSpline, iSpline, cSpline, or bernsteinPoly with attributes describing knots, degree, etc.

newx

The x values at which evaluations are required.

...

Optional argument that are not used.

Value

An object just like the object input, except evaluated at the new values of x.

Details

These are methods for the generic function predict for objects inheriting from class bSpline2, ibs, mSpline, iSpline, cSpline, or bernsteinPoly. If newx is not given, the function returns the input object.

See Also

bSpline for B-splines; ibs for integrals of B-splines; dbs for derivatives of B-splines; mSpline for M-splines; iSpline for I-splines; cSpline for C-splines.

Examples

# NOT RUN {
library(splines2)
x <- seq.int(0, 1, 0.2)
knots <- c(0.3, 0.5, 0.6)
newX <- seq.int(0.1, 0.9, 0.2)

## for B-splines
bsMat <- bSpline(x, knots = knots, degree = 2)
predict(bsMat, newX)

## for integral of B-splines
ibsMat <- ibs(x, knots = knots, degree = 2)
predict(ibsMat, newX)

## for derivative of B-splines
dbsMat <- dbs(x, knots = knots, degree = 2)
predict(dbsMat, newX)

## for M-spline
msMat <- mSpline(x, knots = knots, degree = 2)
predict(msMat, newX)

## for I-spline
isMat <- iSpline(x, knots = knots, degree = 2)
predict(isMat, newX)

## for C-spline
csMat <- cSpline(x, knots = knots, degree = 2)
predict(csMat, newX)
# }