extract.fd

object created by <code><a rd-options="" href="/link/semipar.mp?package=vows&version=0.5" data-mini-rdoc="vows::semipar.mp">semipar.mp</a></code>.

which smooth term to extract (useful if the fitted model includes more than one term).

term

logical; if <code>TRUE</code>, intercept will be added to all coefficients. For simple nonparametric regression
this should be done to recover the fitted values.

intercept


Given a massively parallel smoothing object created by <code><a rd-options="" href="/link/semipar.mp?package=vows&version=0.5" data-mini-rdoc="vows::semipar.mp">semipar.mp</a></code>, this function extracts an object of
class <code>"<a rd-options="" href="/link/fd?package=vows&version=0.5" data-mini-rdoc="vows::fd">fd</a>"</code> representing the curves that one wishes to cluster using <code><a rd-options="" href="/link/funkmeans?package=vows&version=0.5" data-mini-rdoc="vows::funkmeans">funkmeans</a></code>.


Parametric and semiparametric inference for massively parallel
models, i.e., a large number of models with common design matrix, as often
occurs with brain imaging data.

Philip Reiss

vows

Voxelwise Semiparametrics

extract.fd function

object created by <code><a rd-options='' href='semipar.mp'>semipar.mp</a></code>.


Given a massively parallel smoothing object created by <code><a rd-options='' href='semipar.mp'>semipar.mp</a></code>, this function extracts an object of
class <code>"<a rd-options='' href='fd'>fd</a>"</code> representing the curves that one wishes to cluster using <code><a rd-options='' href='funkmeans'>funkmeans</a></code>.


extract.fd: Extract curve estimates to be clustered

Description

Usage

Arguments

Value

See Also

Examples