neojags
0.1.7Neo-Normal Distributions Family for Markov Chain Monte Carlo (MCMC) Models in 'JAGS'
Overview
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Unpublished Dissertation.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Unpublished Dissertation.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.
Install
Health
- OK2026-06-0813 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- WARNING2026-06-0712 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-3014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-03-1013 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
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Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 4.5 median / 23 max
- Test cases
- 1 / 0.25 per code line
- Documented parameters
- 100%
- System requirements
- 1 external
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
116 2 exported
Complexity
6.8 avg / 23 max
Call network
116 nodes / 20 edges
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Call graph
Open call graph →Lowest coverage
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Package metadata
- First published
- 2023-06-29
- Total releases
- 7 / 3 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 2.14.0
- Download size
- 492 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet