SemiPar is a package in the R language
for aiding semiparametric regression analyses,
and accompanies the book:
Ruppert, D., Wand, M. P. and Carroll, R.J. (2003).
Semiparametric Regression. Cambridge University Press.
Late 2006 Stocktake of SemiPar (4th December, 2006)
SemiPar 1.0-2 was posted on the
Comprehensive R Archive Network (CRAN)
in December 2006.
Files corresponding to this
posting are:
Most of the code in SemiPar 1.0 runs as it should and works well.
However, since the initial CRAN posting in January 2005,
a few users have pointed out glitches with SemiPar 1.0.
These include:
-
When fitting additive mixed models with a large number
of random effects (usually corresponding to a large
number of subjects). The cause seems to be that the
`Z matrix' becomes very large. The following script,
sitkaNew.Rs,
provides a remedy to this problem for the sitka spruce
data by avoiding creation of the contribution to the
Z matrix from the repeated measures.
-
Plotting can break down for higher-order
derivatives (e.g. plot(fit,drv=1)) in certain
circumstances.
-
The code for obtaining predictions also breaks down
in certain circumstances.
We are working towards fixing these problems with SemiPar, but it
will take some time due to other commitments. At this stage
2007 is not looking great in terms of finding the time. However,
2008 may well be a possibility.