Neo-Normal Distributions Family for Markov Chain Monte Carlo (MCMC) Models in 'JAGS'

A 'JAGS' extension module provides neo-normal distributions family including MSNBurr, MSNBurr-IIa, GMSNBurr, Lunetta Exponential Power, Fernandez-Steel Skew t, Fernandez-Steel Skew Normal, Fernandez-Osiewalski-Steel Skew Exponential Power, Jones Skew Exponential Power. References: Choir, A. S. (2020). "The New Neo-Normal Distributions and Their Properties".Unpublished Dissertation. Denwood, M.J. (2016) . Fernandez, C., Osiewalski, J., & Steel, M. F. (1995) . Fernandez, C., & Steel, M. F. (1998) . Iriawan, N. (2000). "Computationally Intensive Approaches to Inference in NeoNormal Linear Models".Unpublished Dissertation. Mineo, A., & Ruggieri, M. (2005) . Rigby, R. A., & Stasinopoulos, D. M. (2005) . Lunetta, G. (1963). "Di una Generalizzazione dello Schema della Curva Normale". Rigby, R. A., Stasinopoulos, M. D., Heller, G. Z., & Bastiani, F. D. (2019) .


neojags

A 'JAGS' extension module provides neo-normal distributions family including MSNBurr, MSNBurr-IIa, GMSNBurr, Lunetta Exponential Power, Fernandez-Steel Skew t, Fernandez-Steel Skew Normal, Fernandez-Osiewalski-Steel Skew Exponential Power, Jones Skew Exponential Power

Reference manual

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install.packages("neojags")

0.1.7 by Achmad Syahrul Choir, 8 months ago


https://github.com/madsyair/neojags


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


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


Authors: Achmad Syahrul Choir [aut, cre] , Resi Ramadani [aut] , Nur Iriawan [aut] , S Sifa'ul Khusna Malikhatul Mutmainah [ctb] , Matthew Denwood [cph] , Martyn Plummer [cph] (Copyright holder of the code in src/distributions/D*.* , configure.ac , R/runjags_functions.R , and original copyright holder of some modified code where indicated)


Documentation:   PDF Manual  


GPL-2 license


Imports runjags, stats, utils, rjags, coda

Suggests testthat, knitr, rmarkdown, markdown, spelling

System requirements: JAGS >= 4.3.0 (https://mcmc-jags.sourceforge.io/)


See at CRAN