| pdIdnot {mgcv} | R Documentation |
This set of functions is a modification of the pdMat class pdIdent
from library nlme. The modification is to replace the log parameterization used in pdMat
with a notLog parameterization, since the latter is much less susceptible to overflow
and underflow of the parameters on the original scale. The functions are particularly useful for
working with Generalized Additive Mixed Models where variance parameters/smoothing parameters can
be very large or very small, so that overflow or underflow can be a problem.
These functions would not normally be called directly, although unlike the
pdTens class it is easy to do so.
pdIdnot(value = numeric(0), form = NULL,
nam = NULL, data = sys.frame(sys.parent()))
value |
Initialization values for parameters. Not normally used. |
form |
A one sided formula specifying the random effects structure. |
nam |
a names argument, not normally used with this class. |
data |
data frame in which to evaluate formula. |
Note that while the pdFactor and pdMatrix functions return the inverse of the scaled random
effect covariance matrix or its factor, the pdConstruct function is initialised with estimates of the
scaled covariance matrix itself.
A class pdIdnot object, or related quantities. See the nlme documentation for further details.
Simon N. Wood simon@stats.gla.ac.uk
Pinheiro J.C. and Bates, D.M. (2000) Mixed effects Models in S and S-PLUS. Springer
The nlme source code.
http://www.stats.gla.ac.uk/~simon/
# see gamm