summary_dist {neodistr}

Summaries of Neo-normal Distribution

Description

To display a summary of calculations for a specific neo-normal distribution, including the mean,median, mode, variance, skewness, and excess.kurtosis.

Usage

summary_dist(family = "msnburr", par = c(mu = 0, sigma = 1, alpha = 1))

Arguments

family

identify the type of Neo-normal distribution to be used. There are four categories of neo-normal distributions, which encompass "msnburr" for MSNBurr , "msnburr2a" for MSNBurr-IIa, "gmsnburr" for GMSNBurr, and "jfst" for Jones-Faddy's Skew-t Distribution. The default value of this parameter is "msnburr"

par

list values of each parameter, based on the chosen distribution. The default value is "par=c(alpha=1,mu=0,sigma=1)" for MSNBurr parameter parameter of MSNBurr and MSNBurr-IIa are mu, sigma, alpha parameter of GMSNBurr and JFST are mu, sigma, alpha, beta

Value

media, mean, mode, variance, skewness, and excess kurtosis of neo-normal distributions

Author(s)

Achmad Syahrul Choir

References

Choir, A. S. (2020). The New Neo-Normal Distributions and their Properties. Disertation. Institut Teknologi Sepuluh Nopember. Jones, M.C. and Faddy, M. J. (2003) A skew extension of the t distribution, with applications. Journal of the Royal Statistical Society, Series B, 65, pp 159-174 Rigby, R.A. and Stasinopoulos, M.D. and Heller, G.Z. and De Bastiani, F. (2020) Distributions for Modeling Location, Scale, and Shape: Using GAMLSS in R.CRC Press

Examples

summary_dist (family="msnburr2a", par=c(mu=0,sigma=1,alpha=4))