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18 mkfun.poly<br />

mkfun.poly<br />

Crafting Building Blocks for Polynomial Splines<br />

Description<br />

Usage<br />

Craft numerical functions to be used by mkterm to assemble model terms.<br />

mkrk.cubic(range)<br />

mkphi.cubic(range)<br />

mkrk.cubic.per(range)<br />

mkrk.linear(range)<br />

mkrk.linear.per(range)<br />

Arguments<br />

range<br />

Numerical vector whose minimum and maximum specify the range on which<br />

the function to be crafted is defined.<br />

Details<br />

Value<br />

mkrk.cubic, mkphi.cubic, and mkrk.linear implement the polynomial spline construction<br />

in Gu (2002, Sec. 2.3.3) for m = 2, 1.<br />

mkrk.cubic.per and mkrk.linear.per implement the periodic polynomial spline construction<br />

in Gu (2002, Sec. 4.2.1) for m = 2, 1.<br />

A list of two components.<br />

fun<br />

env<br />

Function definition.<br />

Portable local constants derived from the argument.<br />

Note<br />

mkrk.x create a bivariate function fun(x,y,env,outer=FALSE), where x, y are real arguments<br />

and local constants can be passed in through env.<br />

mkphi.cubic creates a univariate function fun(x,nu,env).<br />

Author(s)<br />

Chong Gu, 〈chong@stat.purdue.edu〉<br />

References<br />

Gu, C. (2002), Smoothing Spline ANOVA Models. New York: Springer-Verlag.

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