Projects

Douglas Bates writes:

I am teaching a graduate course on Statistical Computing this
semester.  A major part of the grade is determined by a project in
which a student or small group of students produce, test, and document
some software for statistics.  I will encourage those students who are
developing in S to package their software as an R package.

I would welcome suggestions of possible projects, especially projects
that come under the heading of "Useful facilities to be added to R".
Please keep in mind that the project must be completed by mid-December
and that not all the students have extensive experience programming in
S and C.

Hopefully not too late for me to join the wishlist ...

In addition to the useful suggestions re experimental design and by
Peter, I have the following ctest-related projects which I think would
fit very nicely.  Ordering is according to decreasing priority.

* Improved support for exact inference (p-values and, where appropriate,
also confidence intervals ) for some of the tests, in particular for
Kruskal-Wallis and (2-sample) Smirnov.  In addition, we currently don't
have exact p-values in the rank-based tests in case of ties, and one
could deal with this using the Streitberg-Roehmel path suggested by
Torsten Hothorn (see add-on package ExactDistr).  Also, permutation
tests might be useful in some cases ...

[I have an NEW implementation of the Mehta-Patel network algorithm for
dealing with the common odds ratio in 2 x 2 x k tables ready, hence will
take care of mantelhaen.test() myself.]

* Implement alternative definitions of the 2-sided p-value using

	p = 2[f P(X=x) + min{P(X<x),P(X>x)}]

with 0 <= f <= 1 as definition.

* Improve the code for fisher.test(), maybe re-implement from scratch?
The memory management definitely needs to be rewritten for 1.2.

-k
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