similar to: Bessel function with large index value

Hi: There is a Modified Bessel function (third kind, real order) besselK in R. Is there a C version of this function? I can only find a Fortran function rkbesel on http://www.netlib.org/specfun/. However, this rkbesel fortran function is the second kind. Thank you! liu _______________________________ Declare Yourself - Register online to vote today!

Hello, I am searching for code in C++ or fortran for Modified Bessel function of third kind (fractional or real order). Can someone help me? Thank you --------------------------------- Découvrez un nouveau moyen de poser toutes vos questions quelque soit le sujet ! Yahoo! Questions/Réponses pour partager vos connaissances, vos opinions et vos expériences. Cliquez ici.

In order to fit a probability distribution proposed by Sichel [Journal of the Royal Statistical Society. Series A (General), Vol. 137, No. 1. (1974), pp. 25-34], I need a modified Bessel function of the 2nd kind. I notice that the base package of "R" only has modified Bessel functions of the 1st and 3rd kind. Does a modified Bessel function of the 2nd kind exist anywhere? Many

Assistance, besselK- complex number problem Im a student intrested in using R in my learning and research work in option pricing however i have a problem with besselK function In R. Would you assit me in computing the besselK of third kind of a complex number in R. Any code or suggestion will be highly appriceiated eg besselK(2,10) works well.. but besselK(2,10i) doesnt work !! im

hello all i searched the archives and couldn't get a solution to the following question. i have the following function: F=function(z,v) { if (v==-.5) return(1) else return(2*v/z + 1/Recall(z,v-1)) } and while testing whether it works (ie F(z,v) is approx = besselK(z,1+v)/besselK(z,V). the recursion formula allows one to calculate besselK(z,1+v)/besselK(z,V) for large values of z )

The besselK() function knows about overflows/underflows internally; there is a constant xmax_BESS_K in src/nmath/bessel.h (and referred to only in bessel_k.c), equal to 705.342, which is checked if expon.scaled is FALSE. (The equivalent number for bessel_i.c is 709, defined as exparg_BESS in bessel.h.) However, besselK(x) silently returns +Inf if x>705.342. This behavior is reasonable for

I am trying to do an install of portupgrade. As root, I go to /usr/ports/sysutils/portupgrade and run make install distclean The system seems to obtain the pkgtools and some upgrades to it, but is unable to obtain the required bdb1-0.1.8.tar.gz. I have also looked at the collection at the freebsd site and tried the ftp site myself

In the process of upgrading from 1.8 to 1.9 we are getting a lot of warnings about "Ruby 1.9 doesn''t support Unicode normalization yet". However the commit that added those lines is from 2008 and just mentions "Ruby 1.9 compat: no Unicode normalization support yet" without any references. Does anyone know whether this is still true for ruby 1.9 and for which minor

Hi all, Running R 0.90.1 on a RH 6.1 system. Installation of the integrate_2.1-2 package went smoothly. My code contains a loop in which integrate() is called several times in each pass. I get a segmentation fault after what seems to be a random number of calls to integrate(). Debug output shows: Program received signal SIGSEGV, Segmentation fault. promiseArgs (el=0x40276414,

Dear R-Group: Recently, I ran into a problem. I was using a function called "I.1", which evaluates the first-order modified Bessel function of the first kind, in the package "CircStats". This function is not vectorized, since it uses a couple of "if" conditions. However, when I called this function with a vector argument, I got no error/warning messages in

Dear list members, Any help on this efficiency issue would be greatly appreciated. I would like to find the most efficient way to run a non-vectorized function (here: fisher exact test p-value) iteratively using 4 matrices with identical dimensions. And as a result I aim for an array with identical dimensions containing the corresponding p-values. Please consider some code using a trivial

Assistance, Im a student intrested in using R in my learning and research work in option pricing however i have a problem with besselK function In R. Would you assit me in computing the besselK of third kind of a complex number in R. Any code or suggestion will be highly appriceiated eg besselK(2,10) works well.. but besselK(2,10i) doesnt work !! im supprised it works in MATLAB but NOT

Debian tries to build its packages on a variety of platforms. The arm platform compiled 0.90.1 (the last Debian release before the Debian package required an Atlas library, something we no longer require) failed in 'make check'. The log snippet follows; I traced this to the example(Bessel) code. > matplot(nu, t(outer(xx,nu, besselI)), type = 'l', ylim = c(-50,200), +

I am not yet a R user but I will be soon. I am looking for the R command and syntax to compute the roots of Bessel function i.e. computing the z values that lead to Jnu(z)=0 where J is a Bessel function or order nu. May You help me ? thanks in advance. Dr Catherine COUTAND Institut National de la Recherche Agronomique (INRA) umr Physiologie Int?grative de l'Arbre Fruitier et Forestier

#bug 1: besselI() for nu<0 and expon.scaled=TRUE #tested with R-devel (2007-06-17 r41981) x <- 2.3 nu <- -0.4 print(paste(besselI(x, nu, TRUE), "=", exp(-x)*besselI(x, nu, FALSE))) #fix: #$ diff bessel_i_old.c bessel_i_new.c #57c57 #< bessel_k(x, -alpha, expo) * ((ize == 1)? 2. : 2.*exp(-x))/M_PI #--- #> bessel_k(x, -alpha, expo) * ((ize == 1)? 2. :

Dear R users, I'm porting a piece of Matlab code to R, but I'm now stuck with the following: I need an equivalent of besselJ(x, nu) that can handle a complex argument x. I couldn't find any R implementation. I did find a possible fortran solution in SLATEC (< http://www.netlib.org/slatec/ > , CBESJ-C), however I've never tried to use external C or Fortran code

Dear R users, I'm porting a piece of Matlab code to R, but I'm now stuck with the following: I need an equivalent of besselJ(x, nu) that can handle a complex argument x. I couldn't find any R implementation. I did find a possible fortran solution in SLATEC (< http://www.netlib.org/slatec/ > , CBESJ-C), however I've never tried to use external C or Fortran code

Dear all, I'm writing a code that requires Bessel functions with complex argument. Searching the list, I found the continuation of a thread I initiated a few months ago: http://tolstoy.newcastle.edu.au/R/e4/devel/08/03/0746.html As I understand, the most promising option would be to use the fortran or C implementation of Amos,

Dear all Currently, I'm implementing the generalized hyperbolic distribution into Splus. Unfortunately the Bessel function is not implemented in Splus. In R the Bessel function does exist but it is an internal function and I'm not able to look at the code. Is there any possibility to see the code of the Bessel function in R or does anybody has an implementation of the Bessel function in

[cc'ing to R-devel] It's moderately obscure to me too, but ... There are two sets of bessel code in the package, one in C++ from Chris Bond and the other in FORTRAN from Netlib (I think). The FORTRAN code is the one that's giving trouble, you might try just removing the FORTRAN code from the src directory and trying again.