voigt-package {voigt}R Documentation

Tools for working with the Voigt distribution

Description

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>.

Details

The package contains functions for working with the Voigt distribution in the R environment:

rvoigt generates random variates

dvoigt calculates voigt density

evoigt estimates parameters following a Bayesian approach

otherwise unavailable within R (R < 4.4.1). The main function evoigt provides both point and interval estimates for the Voigt parameters using a Bayesian approach.

Author(s)

Massimo Cannas [aut, cre], Nicola Piras [aut]

Maintainer: Massimo Cannas <massimo.cannas@unica.it>

References

Kendall, D. G. (1938). The effect of radiation damping and Doppler broadening on the atomic absorption coefficient. Zeitschrift fur Astrophysik, Vol. 16, p.308 https://adsabs.harvard.edu/full/1938ZA.....16..308K

Cannas, M. and Piras, N. Mixture representation and parameter estimation for the Voigt profile (submitted)

Examples

## Not run: 
##  See examples in the help file of each function.
    
## End(Not run)

[Package voigt version 1.0 Index]