BayesLN
Bayesian Inference for Log-Normal Data
Bayesian inference under log-normality assumption must be performed very carefully. In fact, under the common priors for the variance, useful quantities in the original data scale (like mean and quantiles) do not have posterior moments that are finite (Fabrizi et al. 2012). This package allows to easily carry out a proper Bayesian inferential procedure by fixing a suitable distribution (the generalized inverse Gaussian) as prior for the variance. Functions to estimate several kind of means (unconditional, conditional and conditional under a mixed model) and quantiles (unconditional and conditional) are provided.
- Version0.2.10
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?Yes
- Last release12/04/2023
Documentation
Team
Aldo Gardini
Enrico Fabrizi
Carlo Trivisano
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- Imports9 packages
- Suggests2 packages
- Linking To2 packages