[Rd] qnbinom with small size is slow
Martin Maechler
m@ech|er @end|ng |rom @t@t@m@th@ethz@ch
Mon Aug 24 14:25:58 CEST 2020
>>>>> Constantin Ahlmann-Eltze
>>>>> on Fri, 21 Aug 2020 11:51:13 +0200 writes:
> Hi Martin, thanks for verifying. I agree that the
> Cornish-Fisher seems to struggle with the small size
> parameters, but I also don't have a good idea how to
> replace it.
> But I think fixing do_search() is possible:
Yes, but your fix was not correct..
(and I used time to find out)
Note that do_search() is used in all three of
qnbinom()
qbinom()
qpois()
If a change was correct and an improvement, it will be an
improvement for all three cases; if it is only sometimes good,
it may also be sometimes bad for the other two cases.
Note that running the checks on the current R sources makes
almost no sense: Of course the new bugs (your: "slow"; mine:
inaccurate when result is quite larger than 0) are *NOT* yet in
the regression tests.
And it's really not worth doing experiments on the cloud ("QI"
is really increasing the climate change, by each time installing
tons (=> bandwidth) and running 1.5 hours ..):
I don't know what big a part of tree is killed by the bandwith
(==> electricity of internet routers, cooling, ...)
and the 1.5 hour run
(==> electricity of the CPUs; cooling; ...)
but I'd rather do test such small changes on my small desktop
where I don't need to install anything etc
(*and* I know that the Swiss electricity is almost exclusively
produced from no-Carbon-emission plants).
--------
I'm busy for another 1-3 days (taking & grading exams),
but really do want to address this myself, rather than trying
these proposals (and having you burn electricity on routers and
CPUs and coolers) ...
Martin
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