Gu function

Tool to build the basis matrix and the penalty matrix of natural cubic splines.

Gu builds the basis matrix and penalty matrix to approximate a smooth function using natural cubic splines based on the Gu basis form.

Gu(t, knot)

Arguments

• t: the covariate.
• knot: a integer value that represent the number of knots of the natural cubic spline.

Returns

nknot number of knots.

knots set of knots.

N basis matrix.

K penalty matrix.

Examples

t <- runif(1000)
knot <- 6
N_gu <- Gu(t,knot)

References

Wood, S. (2006) Generalized additive models: An R introduction. Chapman and Hall.

Carlos Alberto Cardozo Delgado. Semi-parametric generalized log-gamma regression models. Ph. D. thesis. Sao Paulo University.

Author(s)

Carlos Alberto Cardozo Delgado cardozorpackages@gmail.com