JM (version 1.4-8)

DerivSplines: Derivatives and Integrals of B-splines and Natural Cubic splines

Description

Numerical derivatives and integrals of functions bs() and ns() at their first argument.

Usage

dns(x, df = NULL, knots = NULL, intercept = FALSE, 
    Boundary.knots = range(x), eps = 1e-03)
dbs(x, df = NULL, knots = NULL, intercept = FALSE, 
    Boundary.knots = range(x), eps = 1e-03)
ins(x, df = NULL, knots = NULL, intercept = FALSE, 
    Boundary.knots = range(x), from = 0, weight.fun = NULL, …)
ibs(x, df = NULL, knots = NULL, intercept = FALSE, 
    Boundary.knots = range(x), from = 0, weight.fun = NULL, …)

Arguments

x, df, knots, intercept, Boundary.knots

see the help pages of functions ns() and bs().

eps

a numeric scalar denoting the step length for the central difference approximation, which calculates the derivative.

from

a numeric scalar denoting the lower limit of the integral.

weight.fun

a function to applied as weights.

…

extra arguments passed to weight.fun.

Value

an object of class dns, dbs, ins or ibs.

Examples

# NOT RUN {
x <- rnorm(10)
dns(x, df = 4)
ins(x, df = 4)
# }