On Fri, 3 Oct 2008, Gordon Hughes wrote:
I have revised and extended my collection of functions to
estimate stochastic frontier models...
I have some queries before I upload the new versions to the server.
A. I have changed the conventions that I have used to name
functions. As a result the new versions will not just overwrite
the old versions. Is there a method by which I can delete or
deprecate the old versions, so as to ensure that users get
access to the updated functions?
At present there is no way for a contributor to do that, but if
you tell me which files should be moved out of the way, I'll do
that.
B. Allin mentioned the possibility of providing multiple entry
points in a function package. Has this been implemented?
No, not yet, but its' on the TODO list.
C. The example runs for the non-panel functions use one of
Greene's data files from the standard gretl install package.
However, I haven't identified a suitable test dataset for the
panel functions, so I have created my test data (an extension of
the test data used by Stata). Is there a way of uploading this
data along with the sample programs so that users can experiment
with a known example?
No. But for the present if you can put the ddata on a website and
give a URL in function documentation, that would be good.
D. I have mentioned previously that the functions can easily
run into non-concave regions, which can cause mle using
analytical derivatives to fail... I would like to enquire
whether it might be possible to embed this directly as an option
in mle, rather than via the presence of deriv or parameters
commands.
You mean an option to ignore the provided analytical derivatives
and use numerical ones? That wouldn't be difficult to add.
Allin.