plot.pfr

For additive functional terms, <code>TRUE</code> indicates the
coefficient should be plotted on the quantile-transformed scale, whereas
<code>FALSE</code> indicates the scale of the original data. Note this is
different from the <code>Qtransform</code>

Qtransform

arguments handed over to <code><a href="/link/plot.gam?package=refund&version=0.1-1&to=mgcv" rd-options="mgcv" data-mini-rdoc="mgcv::plot.gam">plot.gam</a></code>

This function plots the smooth coefficients of a pfr object. These include
functional coefficients as well as any smooths of scalar covariates. The
function dispatches to <code>pfr_plot.gam</code>, which is our local copy of
<code><a href="/link/plot.gam?package=refund&version=0.1-1&to=mgcv" rd-options="mgcv" data-mini-rdoc="mgcv::plot.gam">plot.gam</a></code> with some minor changes.

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.

plot.pfr: Plot a pfr object

Description

Usage

Arguments

Value

See Also