derivatives: Computing kernel function derivatives
In KSPM: Kernel Semi-Parametric Models

Description Usage Arguments Details Value Author(s) References See Also

derivatives is a function for "kspm" object computing pointwise partial derivatives of h(Z) accroding to each Z variable.

1	derivatives(object)

object

an object of class "kspm", usually, a result of a call to kspm.

derivatives are not computed for interactions. If a variable is included in several kernels, the user may obtain the corresponding pointwise derivatives by summing the pointwise derivatives associated with each kernel.

an object of class 'derivatives'

`derivmat`	a list of n x d matrix (one for each kernel) where n is the number of subjects and d the number of variables included in the kernel
`rawmat`	a n x q matrix with all variables included in the kernel part of the model q the number of variables included in the whole kernel part
`scalemat`	scaled version of rawmat
`modelmat`	matrix of correspondance between variable and kernels

Catherine Schramm, Aurelie Labbe, Celia Greenwood

Kim, Choongrak, Byeong U. Park, and Woochul Kim. "Influence diagnostics in semiparametric regression models." Statistics and probability letters 60.1 (2002): 49:58.

plot.derivatives

KSPM documentation built on Aug. 10, 2020, 5:07 p.m.