MPoEmle: Modified Power Distribution

In MHussein-S/MPofit: pdf, cdf, quantile function, rth moment, mode, generate random variates, MLE of parameters, and goodness-of-fit measurse for the MPo distribution

Modified Power Distribution

Description

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

Usage

MPoEmle(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 Misses 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 MPoE distribution is fitted to some data.

Author(s)

Mohamed Hussein

Examples

#{
data<-rMPo(n=500,par=c(rate=2,a=3),distr="exp")
MPoEmle(data,start=c(a=0.1,rate=0.1))
#}

MHussein-S/MPofit documentation built on June 14, 2022, 5:16 p.m.