JPT - 1 year ago 131

R Question

I'm using Incanter and Parallel Colt for a project, and need to have a function that returns the modified Bessel function of an order n for a value v.

The Colt library has two methods for order 0 and order 1, but beyond that, only a method that return the Bessel function of order n for a value v (cern.jet.math.tdouble.Bessel/jn).

I'm trying to build the R function, dskellam(x,lambda1, lambda2) for the Skellam distribution, in Clojure/Java

Is there something I can do with the return value of the Bessel method to convert it to a modified Bessel?

Recommended for you: Get network issues from **WhatsUp Gold**. **Not end users.**

Answer Source

No, the difference isn't a simple transformation, as these links make clear:

http://mathworld.wolfram.com/BesselFunctionoftheFirstKind.html

http://mathworld.wolfram.com/ModifiedBesselFunctionoftheFirstKind.html

I'd have a look at "Numerical Recipes" or Abramowitz & Stegun. It wouldn't be hard to implement your own in a short period of time.

Here's a Java implementation of the modified Bessel functions:

```
package math;
/**
* Functions that are not part of standard libraries
* User: Michael
* Date: 1/9/12
* Time: 9:22 PM
*/
public class Functions {
public static final double ACC = 4.0;
public static final double BIGNO = 1.0e10;
public static final double BIGNI = 1.0e-10;
public static void main(String[] args) {
double xmin = ((args.length > 0) ? Double.valueOf(args[0]) : 0.0);
double xmax = ((args.length > 1) ? Double.valueOf(args[1]) : 4.0);
double dx = ((args.length > 2) ? Double.valueOf(args[2]) : 0.1);
System.out.printf("%10s %10s %10s %10s\n", "x", "bessi0(x)", "bessi1(x)", "bessi2(x)");
for (double x = xmin; x < xmax; x += dx) {
System.out.printf("%10.6f %10.6f %10.6f %10.6f\n", x, bessi0(x), bessi1(x), bessi(2, x));
}
}
public static final double bessi0(double x) {
double answer;
double ax = Math.abs(x);
if (ax < 3.75) { // polynomial fit
double y = x / 3.75;
y *= y;
answer = 1.0 + y * (3.5156229 + y * (3.0899424 + y * (1.2067492 + y * (0.2659732 + y * (0.360768e-1 + y * 0.45813e-2)))));
} else {
double y = 3.75 / ax;
answer = 0.39894228 + y * (0.1328592e-1 + y * (0.225319e-2 + y * (-0.157565e-2 + y * (0.916281e-2 + y * (-0.2057706e-1 + y * (0.2635537e-1 + y * (-0.1647633e-1 + y * 0.392377e-2)))))));
answer *= (Math.exp(ax) / Math.sqrt(ax));
}
return answer;
}
public static final double bessi1(double x) {
double answer;
double ax = Math.abs(x);
if (ax < 3.75) { // polynomial fit
double y = x / 3.75;
y *= y;
answer = ax * (0.5 + y * (0.87890594 + y * (0.51498869 + y * (0.15084934 + y * (0.2658733e-1 + y * (0.301532e-2 + y * 0.32411e-3))))));
} else {
double y = 3.75 / ax;
answer = 0.2282967e-1 + y * (-0.2895312e-1 + y * (0.1787654e-1 - y * 0.420059e-2));
answer = 0.39894228 + y * (-0.3988024e-1 + y * (-0.362018e-2 + y * (0.163801e-2 + y * (-0.1031555e-1 + y * answer))));
answer *= (Math.exp(ax) / Math.sqrt(ax));
}
return answer;
}
public static final double bessi(int n, double x) {
if (n < 2)
throw new IllegalArgumentException("Function order must be greater than 1");
if (x == 0.0) {
return 0.0;
} else {
double tox = 2.0/Math.abs(x);
double ans = 0.0;
double bip = 0.0;
double bi = 1.0;
for (int j = 2*(n + (int)Math.sqrt(ACC*n)); j > 0; --j) {
double bim = bip + j*tox*bi;
bip = bi;
bi = bim;
if (Math.abs(bi) > BIGNO) {
ans *= BIGNI;
bi *= BIGNI;
bip *= BIGNI;
}
if (j == n) {
ans = bip;
}
}
ans *= bessi0(x)/bi;
return (((x < 0.0) && ((n % 2) == 0)) ? -ans : ans);
}
}
}
```

Recommended from our users: **Dynamic Network Monitoring from WhatsUp Gold from IPSwitch**. ** Free Download**