BayesLN (0.1.2)

0 users

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.

Maintainer: Aldo Gardini
Author(s): Aldo Gardini [aut, cre], Enrico Fabrizi [aut], Carlo Trivisano [aut]

License: GPL-3

Uses: coda, data.table, fAsianOptions, ghyp, lme4, MASS, optimx, Rcpp, RcppArmadillo, knitr, rmarkdown

Released 3 months ago.



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of BayesLN yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for BayesLN on google, google scholar, r-help, r-devel.

Visit BayesLN on R Graphical Manual.