a grouping variable: must be a <code>factor</code>

further arguments handed over to <code><a href="/link/s?package=refund&version=0.1-1&to=mgcv" rd-options="mgcv" data-mini-rdoc="mgcv::s">s</a></code>,
see <code><a href="/link/random.effects?package=refund&version=0.1-1&to=mgcv" rd-options="mgcv" data-mini-rdoc="mgcv::random.effects">random.effects</a></code>

Sets up a random effect for the levels of <code>x</code>.
Use the <code>by</code>-argument to request random slopes.

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.

re: Random effects constructor for fgam

Description

Usage

Arguments

Details

See Also