fitCOMPBin function

Fitting the COM Poisson Binomial Distribution when binomial random variable, frequency, probability of success and v parameter are given

Fitting the COM Poisson Binomial Distribution when binomial random variable, frequency, probability of success and v parameter are given

The function will fit the COM Poisson Binomial Distribution when random variables, corresponding frequencies, probability of success and v parameter are given. It will provide the expected frequencies, chi-squared test statistics value, p value, and degree of freedom so that it can be seen if this distribution fits the data.

fitCOMPBin(x,obs.freq,p,v)

Arguments

  • x: vector of binomial random variables.
  • obs.freq: vector of frequencies.
  • p: single value for probability of success.
  • v: single value for v.

Returns

The output of fitCOMPBin gives the class format fitCPB and fit consisting a list

bin.ran.var binomial random variables.

obs.freq corresponding observed frequencies.

exp.freq corresponding expected frequencies.

statistic chi-squared test statistics.

df degree of freedom.

p.value probability value by chi-squared test statistic.

fitCPB fitted probability values of dCOMPBin.

NegLL Negative Log Likelihood value.

p estimated probability value.

v estimated v parameter value.

AIC AIC value.

call the inputs of the function.

Methods summary, print, AIC, residuals and fitted

can be used to extract specific outputs.

Details

obs.freq0 obs.freq \ge 0 x=0,1,2,.. x = 0,1,2,.. 0<p<1 0 < p < 1 <v<+ -\infty < v < +\infty

NOTE : If input parameters are not in given domain conditions necessary error messages will be provided to go further.

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 #estimating the parameters using maximum log likelihood value and assigning it parameters <- EstMLECOMPBin(x=No.D.D,freq=Obs.fre.1,p=0.5,v=0.050) pCOMPBin <- bbmle::coef(parameters)[1] vCOMPBin <- bbmle::coef(parameters)[2] #fitting when the random variable,frequencies,probability and v parameter are given results <- fitCOMPBin(No.D.D,Obs.fre.1,pCOMPBin,vCOMPBin) results #extracting the AIC value AIC(results) #extract fitted values fitted(results)

References

\insertRef borges2014poissonfitODBOD