| gam.fit5.post.proc {mgcv} | R Documentation |
INTERNAL function for post-processing the output of gam.fit5.
gam.fit5.post.proc(object, Sl, L, lsp0, S, off)
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. |
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 to Vb.
Vc: corrected covariance matrix.
F: matrix of effective degrees of freedom (EDF).
edf: diag(F).
edf2: diag(2F-FF).
Simon N. Wood <simon.wood@r-project.org>.