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Random generation, density function and parameter estimation for the Voigt distribution. The main objective of this package is to provide R users with efficient estimation of Voigt parameters using classic iid data in a Bayesian framework. The estimating function allows flexible prior specification, specification of fixed parameters and several options for MCMC posterior simulation. A basic version of the algorithm is described in: Cannas M. and Piras, N. (2025) <doi:10.1007/978-3-031-96303-2_53>.
| Version: | 1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | invgamma, coda, pracma |
| Published: | 2025-07-05 |
| DOI: | 10.32614/CRAN.package.voigt |
| Author: | Massimo Cannas [aut, cre], Nicola Piras [aut] |
| Maintainer: | Massimo Cannas <massimo.cannas at unica.it> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| In views: | Distributions |
| CRAN checks: | voigt results |
| Reference manual: | voigt.html , voigt.pdf |
| Package source: | voigt_1.0.tar.gz |
| Windows binaries: | r-devel: voigt_1.0.zip, r-release: voigt_1.0.zip, r-oldrel: voigt_1.0.zip |
| macOS binaries: | r-release (arm64): voigt_1.0.tgz, r-oldrel (arm64): voigt_1.0.tgz, r-release (x86_64): voigt_1.0.tgz, r-oldrel (x86_64): voigt_1.0.tgz |
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