CRAN/E | neojags

neojags

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

Installation

About

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Unpublished Dissertation.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Unpublished Dissertation.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.

github.com/madsyair/neojags
System requirements JAGS >= 4.3.0 (https://mcmc-jags.sourceforge.io/)
Bug report File report

Key Metrics

Version 0.1.4
R ≥ 2.14.0
Published 2023-08-08 267 days ago
Needs compilation? yes
License GPL-2
CRAN checks neojags results
Language en-GB

Downloads

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Maintainer

Maintainer

Achmad Syahrul Choir

madsyair@stis.ac.id

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)

Material

README
ChangeLog
INSTALL
Reference manual
Package source

Vignettes

Neo-Normal Distributions Family for MCMC Models in JAGS

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

neojags archive

Depends

R ≥ 2.14.0

Imports

runjags
stats
utils
rjags
coda

Suggests

testthat ≥ 3.0.0
knitr
rmarkdown
markdown
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