OPGmle: Odd Parteo G distribution

In MHussein-S/OPAG:

Odd Parteo G distribution

Description

MLE of parameters, KS test statistic and p-value, AIC, CAIC, BIC, HQIC, -log-likelihood function and convergence status for OPAGA distribution

Usage

OPGAmle(data,start)

Arguments

data	a vector of data values for which the distribution is to be fitted
start	named vector or list of the starting values of the distribution parameters

Value

Maximum likelihood estimates, standard error, 95% CI, Cramer-von Mises statistic, Anderson Darling statistic, Kolmogorov Smirnov test statistic and p-value, Akaike Information Criterion, Consistent Akaikes Information Criterion, Bayesian Information Criterion, Hannan-Quinn information criterion, minimum value of the negative log-likelihood function and convergence status when the OPAGA distribution is fitted to some data.

Author(s)

Mohamed Hussein

Examples

#{
data<-rOP(n=500,par=c(a=3,c=2,shape=2,rate=2),distr="gamma")
OPGAmle(data,start=c(a=0.1,c=2,shape=0.1,rate=0.1))
#}

MHussein-S/OPAG documentation built on June 2, 2022, 12:29 p.m.