f21hyper: Gaussian Hypergeometric Function F(a,b,c,z)

In BMS: Bayesian Model Averaging Library

Gaussian Hypergeometric Function F(a,b,c,z)

Description

Computes the value of a Gaussian hypergeometric function F(a,b,c,z) for -1 ≤q z ≤q 1 and a,b,c ≥q 0

Usage

f21hyper(a, b, c, z)

Arguments

a	The parameter a of the Gaussian hypergeometric function, must be a positive scalar here
b	The parameter b of the Gaussian hypergeometric function, must be a positive scalar here
c	The parameter c of the Gaussian hypergeometric function, must be a positive scalar here
z	The parameter z of the Gaussian hypergeometric function, must be between -1 and 1 here

Details

The function f21hyper complements the analysis of the 'hyper-g prior' introduced by Liang et al. (2008).
For parameter values, compare cf. https://en.wikipedia.org/wiki/Hypergeometric_function.

Value

The value of the Gaussian hypergeometric function F(a,b,c,z)

Note

This function is a simple wrapper function of sped-up code that is intended for sporadic application by the user; it is neither efficient nor general; for a more general version cf. the package 'hypergeo'

References

Liang F., Paulo R., Molina G., Clyde M., Berger J.(2008): Mixtures of g-priors for Bayesian variable selection. J. Am. Statist. Assoc. 103, p. 410-423

https://en.wikipedia.org/wiki/Hypergeometric_function

See Also

package hypergeo for a more proficient implementation.

Check http://bms.zeugner.eu for additional help.

Examples

  
  f21hyper(30,1,20,.8) #returns about 165.8197
  
  f21hyper(30,10,20,0) #returns one
  
  f21hyper(10,15,20,-0.1) # returns about 0.4872972

BMS documentation built on Aug. 9, 2022, 5:08 p.m.