| gam.fit5.post.proc {mgcv} | R Documentation |
Post-processing output of gam.fit5
Description
INTERNAL function for post-processing the output of gam.fit5.
Usage
gam.fit5.post.proc(object, Sl, L, lsp0, S, off, gamma)
Arguments
object |
output of |
Sl |
penalty object, output of |
L |
matrix mapping the working smoothing parameters. |
lsp0 |
log smoothing parameters. |
S |
penalty matrix. |
off |
vector of offsets. |
gamma |
parameter for increasing model smoothness in fitting. |
Value
A list containing:
R: unpivoted Choleski of estimated expected hessian of log-likelihood.Vb: the Bayesian covariance matrix of the model parameters.Ve: "frequentist" alternative toVb.Vc: corrected covariance matrix.F: matrix of effective degrees of freedom (EDF).edf:diag(F).edf2:diag(2F-FF).
Author(s)
Simon N. Wood <simon.wood@r-project.org>.
[Package mgcv version 1.9-1 Index]