[Rd] Re: [R] too large alpha or beta in dbeta ? (PR#643)
maechler@stat.math.ethz.ch
maechler@stat.math.ethz.ch
Sat, 26 Aug 2000 09:47:59 +0200 (MET DST)
>>>>> "MM" == Martin Maechler <maechler@stat.math.ethz.ch> writes:
>>>>> "TL" == Thomas Lumley <thomas@biostat.washington.edu> writes:
TL> On Thu, 24 Aug 2000, Troels Ring wrote:
>>> Dear friends.
>>>
>>> Is this as expected ? Is alpha and beta too large simply ?
>>>
>>> > dbeta(.1,534,646)
>>> [1] NaN
>>> Warning message:
>>> NaNs produced in: dbeta(x, shape1, shape2, log)
TL> well, it should work, but the correct answer is effectively zero.
TL> pbeta(.1,534,646) gives 3.6e-213
TL> Perhaps more worrying is
>>> dbeta(.25,534,646)
TL> [1] Inf
MM> yes.
MM> and I see that it is one case where the log-density seems to be alright:
>> dbeta(.25,534,646,log=TRUE)
MM> [1] -109.939612
MM> and also for the NaN case :
>> dbeta(.1,534,646, log=TRUE)
MM> [1] -480.725168
MM> A workaround is using exp( log-density ), i.e.
MM> exp(dbeta(x,a,b, log = TRUE)) :
MM> Look at
>> plot(function(x) dbeta(x, 534,646, log = TRUE), n = 1001)
MM> or
>> plot(function(x)exp(dbeta(x, 534,646, log = TRUE)), n = 1001)
MM> --
MM> I'll have a look.
fixed for R-devel (1.2 unstable),
and the patch is
--- src/nmath/dbeta.c 2000/03/03 17:18:30 1.7
+++ src/nmath/dbeta.c 2000/08/25 16:16:35 1.8
@@ -30,7 +30,15 @@
#ifdef IEEE_754
/* NaNs propagated correctly */
if (ISNAN(x) || ISNAN(a) || ISNAN(b)) return x + a + b;
+
+# define xmax 171.61447887182298/* (fixme) -->> ./gammalims.c */
+
+#else
+ static double xmax = 0; double xmin;
+ if (xmax == 0)
+ gammalims(&xmin, &xmax);
#endif
+
if (a <= 0 || b <= 0) ML_ERR_return_NAN;
if (x < 0 || x > 1)
@@ -35,10 +43,13 @@
if (x < 0 || x > 1)
return R_D__0;
+
+#define R_LOG_DBETA log(x)*(a - 1) + log(1 - x)*(b - 1) - lbeta(a, b)
- if(give_log) {
- return log(x)*(a - 1) + log(1 - x)*(b - 1) - lbeta(a, b);
- }
+ if(give_log)
+ return R_LOG_DBETA;
+ else if (a + b >= xmax) /* beta(a,b) might be = 0 numerically */
+ return exp(R_LOG_DBETA);
else {
double y;
y = beta(a, b);
------
Martin Maechler <maechler@stat.math.ethz.ch> http://stat.ethz.ch/~maechler/
Seminar fuer Statistik, ETH-Zentrum LEO D10 Leonhardstr. 27
ETH (Federal Inst. Technology) 8092 Zurich SWITZERLAND
phone: x-41-1-632-3408 fax: ...-1228 <><
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