basis.gen

A vector of values for <code>basis.gen</code>, or a matrix for
<code>pseudo.bases</code>

The degrees of freedom of the smoothing spline.

If the next eigenvector improves the approximation by less
than threshold, a truncated bases is returned. For <code>pseudo.bases</code> this
can be a single value or a vector of values, which are recycled sequentially
for each column of <code>x</code>

thresh

The nominal number of basis elements. The basis returned has
no more than <code>degree</code> columns. For <code>pseudo.bases</code> this can be a
single value or a vector of values, which are recycled sequentially for each
column of <code>x</code>

degree

A parameter set. If included in the call, these are used to
define the basis. This is used for prediction.

parms

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Using overlap grouped-lasso penalties, 'gamsel' selects whether a term in a 'gam' is nonzero, linear, or a non-linear spline (up to a specified max df per variable). It fits the entire regularization path on a grid of values for the overall penalty lambda, both for gaussian and binomial families.

basis.gen: Generate basis

Description

Usage

Arguments

Value