add_MGF

<p>Function that implements the j-th addend of the SMNG moment generating function expressed as an infinite sum.</p>

internal

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 <doi:10.1214/12-BA733>). 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.

Aldo Gardini

BayesLN

Bayesian Inference for Log-Normal Data

Enrico Fabrizi

Carlo Trivisano

add_MGF function

Addend SMNG moment generating function — add_MGF

Addend SMNG moment generating function

add_MGF: Addend SMNG moment generating function

Description

Usage

Arguments