NegLLGHGBB {fitODBOD} | R Documentation |
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.
NegLLGHGBB(x,freq,a,b,c)
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. |
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.
The output of NegLLGHGBB
will produce a single numeric value.
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.
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