Neo-Normal Distribution

Calculating the density, cumulative distribution, quantile, and random number of neo-normal distribution. It also interfaces with the 'brms' package, allowing the use of the neo-normal distribution as a custom family. This integration enables the application of various 'brms' formulas for neo-normal regression. Modified to be Stable as Normal from Burr (MSNBurr), Modified to be Stable as Normal from Burr-IIa (MSNBurr-IIa), Generalized of MSNBurr (GMSNBurr), Jones-Faddy Skew-t, Fernandez-Osiewalski-Steel Skew Exponential Power, and Jones Skew Exponential Power distributions are supported. References: Choir, A. S. (2020).Unpublished Dissertation, Iriawan, N. (2000).Unpublished Dissertation, Rigby, R. A., Stasinopoulos, M. D., Heller, G. Z., & Bastiani, F. D. (2019) .


Reference manual

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install.packages("neodistr")

0.1.2 by Achmad Syahrul Choir, a year ago


https://github.com/madsyair/neodistr


Report a bug at https://github.com/madsyair/neodistr/issues


Browse source code at https://github.com/cran/neodistr


Authors: Achmad Syahrul Choir [aut, cre] (ORCID: , Anisa Faoziah [aut] , Nur Iriawan [aut] , Almira Utami [ctb] , Meischa Zahra Nur Adhelia [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports rstan, stats, Rmpfr, ggplot2, shiny

Depends on shinythemes, plotly, brms

Suggests spelling, kableExtra, knitr, rmarkdown, testthat, bayesplot, loo


See at CRAN