To display a summary of calculations for a specific neo-normal distribution, including the mean,median, mode, variance, skewness, and excess.kurtosis.
summary_dist(family = "msnburr", par = c(mu = 0, sigma = 1, alpha = 1))media, mean, mode, variance, skewness, and excess kurtosis of neo-normal distributions
identify the type of Neo-normal distribution to be used. There are five categories of neo-normal distributions, which encompass "msnburr" for MSNBurr , "msnburr2a" for MSNBurr-IIa, "gmsnburr" for GMSNBurr, "jfst" for Jones-Faddy's Skew-t Distribution, "fossep" for Fernandez-Osiewalski-Steel Skew Exponential Power Distribution, and "jsep" for Jones's Skew Exponential Power. The default value of this parameter is "msnburr"
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, JFST, FOSSEP, and JSEP are mu, sigma, alpha, beta
Achmad Syahrul Choir
Choir, A. S. (2020). The New Neo-Normal Distributions and their Properties. Dissertation. 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 Fernandez, C., Osiewalski, J., & Steel, M. F. (1995) Modeling and inference with v-spherical distributions. Journal of the American Statistical Association, 90(432), pp 1331-1340
summary_dist (family="msnburr2a", par=c(mu=0,sigma=1,alpha=4))
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