Extract coefficient functions from a fitted pfr-object
This function is used to extract a coefficient from a fitted 'pfr' model, in
particular smooth functions resulting from including functional terms specified
with lf
, af
, etc. It can also be used to extract smooths
genereated using mgcv
's s
, te
, or t2
.
## S3 method for class 'pfr' coefficients( object, select = 1, coords = NULL, n = NULL, se = ifelse(length(object$smooth) & select, TRUE, FALSE), seWithMean = FALSE, useVc = TRUE, Qtransform = FALSE, ... ) ## S3 method for class 'pfr' coef( object, select = 1, coords = NULL, n = NULL, se = ifelse(length(object$smooth) & select, TRUE, FALSE), seWithMean = FALSE, useVc = TRUE, Qtransform = FALSE, ... )
object |
return object from |
select |
integer indicating the index of the desired smooth term
in |
coords |
named list indicating the desired coordinates where the
coefficient function is to be evaluated. Names must match the argument names
in |
n |
integer vector indicating the number of equally spaced coordinates
for each argument. If length 1, the same number is used for each argument.
Otherwise, the length must match |
se |
if |
seWithMean |
if |
useVc |
if |
Qtransform |
For additive functional terms, |
... |
these arguments are ignored |
a data frame containing the evaluation points,
coefficient function values and optionally the SE's for the term indicated
by select
.
Jonathan Gellar and Fabian Scheipl
Marra, G and S.N. Wood (2012) Coverage Properties of Confidence Intervals for Generalized Additive Model Components. Scandinavian Journal of Statistics.
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