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2020 Aug 10
2
qnbinom with small size is slow
...)
> replicate(10,ff(x))
> })
>
> dd <- data.frame(size=rep(svec,each=10),
> time=unlist(res))
> boxplot(log10(time)~size, dd)
> summary(lm(log10(time)~size, data=dd, subset=time>0))
>
>
>
>
> On 8/7/20 2:01 PM, Constantin Ahlmann-Eltze via R-devel wrote:
>
> > Hi all,
> >
> > I recently noticed that `qnbinom()` can take a long time to calculate
> > a result if the `size` argument is very small.
> > For example
> > qnbinom(0.5, mu = 3, size = 1e-10)
> > takes ~30 seconds on my comp...
2020 Aug 21
1
qnbinom with small size is slow
...get the expected result
> qnbinom(0.9999, mu = 3, size = 1e-4)
[1] 7942
I have updated the pull request at https://github.com/r-devel/r-svn/pull/11
and it is currently checking if the change breaks anything.
Best,
Constantin
Am 20.08.20 um 22:27 schrieb Martin Maechler:
Constantin Ahlmann-Eltze via R-devel
on Mon, 10 Aug 2020 10:05:36 +0200 writes:
> Thanks Ben for verifying the issue. It is always reassuring to hear
> when others can reproduce the problem.
> I wrote a small patch that fixes the issue
> (https://github.com/r-devel/r-svn/pull/11):
&g...
2020 Aug 07
2
qnbinom with small size is slow
Hi all,
I recently noticed that `qnbinom()` can take a long time to calculate
a result if the `size` argument is very small.
For example
qnbinom(0.5, mu = 3, size = 1e-10)
takes ~30 seconds on my computer.
I used gdb to step through the qnbinom.c implementation and noticed
that in line 106
(https://github.com/wch/r-source/blob/f8d4d7d48051860cc695b99db9be9cf439aee743/src/nmath/qnbinom.c#L106)
2020 Aug 20
0
qnbinom with small size is slow
>>>>> Constantin Ahlmann-Eltze via R-devel
>>>>> on Mon, 10 Aug 2020 10:05:36 +0200 writes:
> Thanks Ben for verifying the issue. It is always reassuring to hear
> when others can reproduce the problem.
> I wrote a small patch that fixes the issue
> (https://github.com/r-devel/r...
2020 Aug 07
0
qnbinom with small size is slow
...;- lapply(svec, function(x) {
??? cat(x,"\n")
??? replicate(10,ff(x))
??? })
dd <- data.frame(size=rep(svec,each=10),
???????????????? time=unlist(res))
boxplot(log10(time)~size, dd)
summary(lm(log10(time)~size, data=dd, subset=time>0))
On 8/7/20 2:01 PM, Constantin Ahlmann-Eltze via R-devel wrote:
> Hi all,
>
> I recently noticed that `qnbinom()` can take a long time to calculate
> a result if the `size` argument is very small.
> For example
> qnbinom(0.5, mu = 3, size = 1e-10)
> takes ~30 seconds on my computer.
>
> I used gdb to step thro...