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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 we can estimate the parameter distribution using stan. In this package there is a function that can generate a custom_family for brms so that we can use it to modeling that uses brms with dependent variables having a neo-normal distribution
library(devtools)
install_github("madsyair/neodistr")Choir, A. S. (2020).The New Neo-Normal Distributions and their Properties. Disertation. Institut Teknologi Sepuluh Nopember.
Iriawan, N. (2000).Computationally Intensive Approaches to Inference in Neo-Normal Linear Models. Curtin University of Technology.
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. (2019) Distributions for Modeling Location, Scale, and Shape: Using GAMLSS in R.CRC Press
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.