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neodistr: Neo-Normal Distribution

Calculating the density, cumulative distribution, quantile, and random number of neo-normal distribution. It also interfaces with the 'brms' package, allowing the use of the neo-normal distribution as a custom family. This integration enables the application of various 'brms' formulas for neo-normal regression. Modified to be Stable as Normal from Burr (MSNBurr), Modified to be Stable as Normal from Burr-IIa (MSNBurr-IIa), Generalized of MSNBurr (GMSNBurr), Jones-Faddy Skew-t, Fernandez-Osiewalski-Steel Skew Exponential Power, and Jones Skew Exponential Power distributions are supported. References: Choir, A. S. (2020).Unpublished Dissertation, Iriawan, N. (2000).Unpublished Dissertation, Rigby, R. A., Stasinopoulos, M. D., Heller, G. Z., & Bastiani, F. D. (2019) <doi:10.1201/9780429298547>.

Version: 0.1.2
Depends: R (≥ 3.6.0), shinythemes, plotly, brms
Imports: rstan , stats, Rmpfr, ggplot2, shiny
Suggests: spelling, kableExtra, knitr, rmarkdown, testthat, bayesplot, loo
Published: 2025-07-12
DOI: 10.32614/CRAN.package.neodistr
Author: Achmad Syahrul Choir ORCID iD [aut, cre], Anisa Faoziah [aut], Nur Iriawan ORCID iD [aut], Almira Utami [ctb], Meischa Zahra Nur Adhelia [ctb]
Maintainer: Achmad Syahrul Choir <madsyair at stis.ac.id>
BugReports: https://github.com/madsyair/neodistr/issues
License: GPL-3
URL: https://github.com/madsyair/neodistr
NeedsCompilation: no
Language: en-US
Citation: neodistr citation info
CRAN checks: neodistr results

Documentation:

Reference manual: neodistr.html , neodistr.pdf
Vignettes: Neo-normal Distribution Family for MCMC Models in 'bnrm', 'brms', and 'Stan' Code (source, R code)

Downloads:

Package source: neodistr_0.1.2.tar.gz
Windows binaries: r-devel: neodistr_0.1.2.zip, r-release: neodistr_0.1.2.zip, r-oldrel: neodistr_0.1.2.zip
macOS binaries: r-release (arm64): neodistr_0.1.2.tgz, r-oldrel (arm64): neodistr_0.1.2.tgz, r-release (x86_64): neodistr_0.1.2.tgz, r-oldrel (x86_64): neodistr_0.1.2.tgz
Old sources: neodistr archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.