NegLLCorrBin {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 input parameters.
NegLLCorrBin(x,freq,p,cov)
x |
vector of binomial random variables. |
freq |
vector of frequencies. |
p |
single value for probability of success. |
cov |
single value for covariance. |
freq \ge 0
x = 0,1,2,..
0 < p < 1
-\infty < cov < +\infty
NOTE : If input parameters are not in given domain conditions necessary error messages will be provided to go further.
The output of NegLLCorrBin
will produce a single numeric value.
Johnson NL, Kemp AW, Kotz S (2005). Univariate discrete distributions, volume 444. John Wiley and Sons. Kupper LL, Haseman JK (1978). “The use of a correlated binomial model for the analysis of certain toxicological experiments.” Biometrics, 69–76. Paul SR (1985). “A three-parameter generalization of the binomial distribution.” History and Philosophy of Logic, 14(6), 1497–1506. Morel JG, Neerchal NK (2012). Overdispersion models in SAS. SAS Publishing.
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
NegLLCorrBin(No.D.D,Obs.fre.1,.5,.03) #acquiring the negative log likelihood value