Extracts or modifies sub- or super- diagonals of a matrix.

sdiag

Generalized additive (mixed) models, some of their extensions and
other generalized ridge regression with multiple smoothing
parameter estimation by (Restricted) Marginal Likelihood,
Cross Validation and similar, or using iterated nested Laplace
approximation for fully Bayesian inference. See Wood (2025)
<doi:10.1146/annurev-statistics-112723-034249> for an overview.
Includes a gam() function, a wide variety of smoothers, 'JAGS'
support and distributions beyond the exponential family.

Simon Wood

mgcv

Mixed GAM Computation Vehicle with Automatic Smoothness
Estimation

sdiag function

Extract or modify diagonals of a matrix — sdiag

<dl>

<dt>A</dt>
<dd>a matrix</dd>

<dt>k</dt>
<dd>sub- (negative) or super- (positive) diagonal of a matrix. 0 is the leading diagonal.</dd>

<dt>value</dt>
<dd>single value, or vector of the same length as the diagonal.</dd>


</dl>

Arguments

Simon N. Wood <a href='mailto:simon.wood@r-project.org'>simon.wood@r-project.org</a>

sdiag: Extract or modify diagonals of a matrix

Description

Usage

Arguments

Value

Examples