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neojags  

Neo-Normal Distributions Family for Markov Chain Monte Carlo (MCMC) Models in 'JAGS'
View on CRAN: Click here


Download and install neojags package within the R console
Install from CRAN:
install.packages("neojags")

Install from Github:
library("remotes")
install_github("cran/neojags")

Install by package version:
library("remotes")
install_version("neojags", "0.1.5")



Attach the package and use:
library("neojags")
Maintained by
Achmad Syahrul Choir
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-29
Latest Update: 2023-08-08
Description:
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Unpublished Dissertation.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Unpublished Dissertation.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) .
How to cite:
Achmad Syahrul Choir (2023). neojags: Neo-Normal Distributions Family for Markov Chain Monte Carlo (MCMC) Models in 'JAGS'. R package version 0.1.5, https://cran.r-project.org/web/packages/neojags. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.1 (2023-06-29 16:40), 0.1.2 (2023-07-02 22:00), 0.1.3 (2023-07-06 01:40), 0.1.4 (2023-08-09 00:40)
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Complete documentation for neojags
Functions, R codes and Examples using the neojags R package
Some associated functions: load.neojagsmodule . 
Some associated R codes: example.R . load.module.neojags.R . utilities.R . utilities.invisible.R . zzz.R .  Full neojags package functions and examples
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