Neodistr package aims to provide density, distribution function,quantile function and random generation for neo-normal distributions.This package also provides a stan code for the distribution, so that wecan estimate the parameter distribution using stan. In this packagethere is a function that can generate a custom_family for brms so thatwe can use it to modeling that uses brms with dependent variables havinga neo-normal distribution
library(devtools)install_github("madsyair/neodistr")Choir, A. S. (2020).The New Neo-Normal Distributions and theirProperties. Dissertation. Institut Teknologi Sepuluh Nopember.
Iriawan, N. (2000).Computationally Intensive Approaches to Inference inNeo-Normal Linear Models. Curtin University of Technology.
Jones, M.C. and Faddy, M. J. (2003) A skew extension of the tdistribution, with applications. Journal of the Royal StatisticalSociety, Series B, 65, pp 159-174.
Rigby, R.A. and Stasinopoulos, M.D. and Heller, G.Z. and De Bastiani, F.(2019) Distributions for Modeling Location, Scale, and Shape: UsingGAMLSS in R.CRC Press
Fernandez, C., Osiewalski, J., & Steel, M. F. (1995) Modeling andinference with v-spherical distributions. Journal of the AmericanStatistical Association, 90(432), pp 1331-1340.
