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 Markov Chain Monte Carlo posterior simulation. A basic version of the algorithm is described in: Cannas M. and Piras, N. (2025) .

Voigt: the voigt distribution

Chiriu, Daniele
Membro del Collaboration Group
;
Cannas, Massimo
Membro del Collaboration Group
;
Piras, Nicola
2025-01-01

Abstract

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 Markov Chain Monte Carlo posterior simulation. A basic version of the algorithm is described in: Cannas M. and Piras, N. (2025) .
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/462148
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