summary.pffr

object

see <code><a href="/link/summary.gam?package=refund&version=0.1-1&to=mgcv" rd-options="mgcv" data-mini-rdoc="mgcv::summary.gam">summary.gam</a>()</code> for options.

Take a fitted <code>pffr</code>-object and produce summaries from it.
See <code><a href="/link/summary.gam?package=refund&version=0.1-1&to=mgcv" rd-options="mgcv" data-mini-rdoc="mgcv::summary.gam">summary.gam</a>()</code> for details.

Functions for regression with functional data.  The
        principal methods currently implemented are (1)
        functional-response/scalar-predictor regression by penalized
        OLS or GLS; and (2) functional principal component regression
        for scalar responses and functional predictors.

summary.pffr: Summary for a pffr fit

Description

Usage

Arguments

Value