>>>>> Martin Maechler writes:

>>>>> Stephanie Evert 
>>>>>     on Sun, 17 May 2026 09:03:52 +0200 writes:

>>> I will revise my feature request to "have an
>>> easily-discoverable fast p-value-only calculation" for
>>> those who aren't using the odds ratio or confidence
>>> interval.

>> fisher.pval() in the "corpora" package.

>> Best, Steph

> Thank you Steph;

> However, I still agree with Chris  that it would be nice to have
> an easy way to basically just get the p-value, in a case where
> neither the ESTIMATE nor the confidence interval is needed.

> Indeed, I've not unfrequently seen R code snippets

>       <some>.test(.........)$p.value

> also in CRAN package R code  and I think  base R should provide
> a simple documented way to get only the pvalue in cases where
> the full test costs a factor of 1000 more,  even if is still
> only microseconds in case of small data sets.

> My svn commit to the  R sources, > 22 years ago (!)

>    r29551 | maechler | 2004-05-24 21:34 |

> did introduce the optional argument 'conf.int = TRUE' for the
> 2x2 case _and_ the  NEWS entry (of svn rev 29551) has been

>> o   fisher.test(*, conf.int=FALSE) allows to skip the confidence interval 
>> computation

> However, Chris is (indirectly) correct -- he did not mention the
> 'conf.int' option -- but in this very large case,  conf.int=FALSE
> does not help much, as indeed, the unconditionalized

>      logdc <- dhyper(support, m, n, k, log = TRUE)

> is already expensive, and also the computation of the sample OR (odds ratio)

>      ESTIMATE <- mle(x)

> is costly.  Indeed, I will add a new argument to  fisher.test()  to allow 
> skipping
> the expensive parts and get the p.value and *still* a valid result
> of class "htest".
> For now, this will only be fast when as by default the null
> hypothesis is  `or = 1`

Perhaps we could simply take `or = NULL` or `or = NA` to say "do not
even estimate the OR"?

-k

> Martin Maechler

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