NegLLGHGBB {fitODBOD} | R Documentation |
Negative Log Likelihood value of Gaussian Hypergeometric Generalized Beta Binomial Distribution
Description
This function will calculate the negative log likelihood value when the vector of binomial random variables and vector of corresponding frequencies are given with the shape parameters a,b and c.
Usage
NegLLGHGBB(x,freq,a,b,c)
Arguments
x |
vector of binomial random variables. |
freq |
vector of frequencies. |
a |
single value for shape parameter alpha representing a. |
b |
single value for shape parameter beta representing b. |
c |
single value for shape parameter lambda representing c. |
Details
0 < a,b,c
freq \ge 0
x = 0,1,2,...
NOTE : If input parameters are not in given domain conditions necessary error messages will be provided to go further.
Value
The output of NegLLGHGBB
will produce a single numeric value.
References
Rodriguez-Avi J, Conde-Sanchez A, Saez-Castillo AJ, Olmo-Jimenez MJ (2007). “A generalization of the beta–binomial distribution.” Journal of the Royal Statistical Society Series C: Applied Statistics, 56(1), 51–61. Pearson JW (2009). Computation of hypergeometric functions. Ph.D. thesis, University of Oxford.
See Also
Examples
No.D.D <- 0:7 #assigning the random variables
Obs.fre.1 <- c(47,54,43,40,40,41,39,95) #assigning the corresponding frequencies
NegLLGHGBB(No.D.D,Obs.fre.1,.2,.3,1) #acquiring the negative log likelihood value