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, DanieleMembro 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) .File in questo prodotto:
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voigt-manual2.0.pdf
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Descrizione: manuale di istruzioni del pacchetto software R "voigt"
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