mda (version 0.4-10)

mspline: Vector Smoothing Spline

Description

Fit a smoothing spline to a matrix of responses, single x.

Usage

mspline(x, y, w, df = 5, lambda, thresh = 1e-04, …)

Arguments

x

x variable (numeric vector).

y

response matrix.

w

optional weight vector, defaults to a vector of ones.

df

requested degrees of freedom, as in smooth.spline.

lambda

can provide penalty instead of df.

thresh

convergence threshold for df inversion (to lambda).

…

holdall for other arguments.

Value

A list is returned, with a number of components, only some of which are of interest. These are

lambda

The value of lambda used (in case df was supplied)

df

The df used (in case lambda was supplied)

s

A matrix like y of smoothed responses

lev

Self influences (diagonal of smoother matrix)

Details

This function is based on the ingredients of smooth.spline, and allows for simultaneous smoothing of multiple responses

See Also

smooth.spline

Examples

# NOT RUN {
x=rnorm(100)
y=matrix(rnorm(100*10),100,10)
fit=mspline(x,y,df=5)
# }