neojags: 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Unpublished Dissertation.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) <doi:10.18637/jss.v071.i09>. Fernandez, C., Osiewalski, J., & Steel, M. F. (1995) <doi:10.1080/01621459.1995.10476637>. Fernandez, C., & Steel, M. F. (1998) <doi:10.1080/01621459.1998.10474117>. Iriawan, N. (2000). "Computationally Intensive Approaches to Inference in NeoNormal Linear Models".Unpublished Dissertation. Mineo, A., & Ruggieri, M. (2005) <doi:10.18637/jss.v012.i04>. Rigby, R. A., & Stasinopoulos, D. M. (2005) <doi:10.1111/j.1467-9876.2005.00510.x>. Lunetta, G. (1963). "Di una Generalizzazione dello Schema della Curva Normale". Rigby, R. A., Stasinopoulos, M. D., Heller, G. Z., & Bastiani, F. D. (2019) <doi:10.1201/9780429298547>.

Version: 0.1.4
Depends: R (≥ 2.14.0)
Imports: runjags, stats, utils, rjags, coda
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, markdown, spelling
Published: 2023-08-08
DOI: 10.32614/CRAN.package.neojags
Author: 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*.*,, R/runjags_functions.R, and original copyright holder of some modified code where indicated)
Maintainer: Achmad Syahrul Choir <madsyair at>
License: GPL-2
NeedsCompilation: yes
SystemRequirements: JAGS >= 4.3.0 (
Language: en-GB
Materials: README ChangeLog INSTALL
CRAN checks: neojags results


Reference manual: neojags.pdf
Vignettes: Neo-Normal Distributions Family for MCMC Models in JAGS


Package source: neojags_0.1.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): neojags_0.1.4.tgz, r-oldrel (arm64): neojags_0.1.4.tgz, r-release (x86_64): neojags_0.1.4.tgz, r-oldrel (x86_64): neojags_0.1.4.tgz
Old sources: neojags archive


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