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BayesLN

Bayesian Inference for Log-Normal Data

v0.2.12 · Jul 31, 2025 · GPL-3

Description

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.

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r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 NOTE
r-oldrel-macos-x86_64 NOTE
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
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NOTE r-oldrel-macos-arm64

installed package size

installed size is 13.1Mb
  sub-directories of 1Mb or more:
    libs  12.7Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is 13.3Mb
  sub-directories of 1Mb or more:
    libs  13.0Mb

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-arm64

installed package size

installed size is 13.1Mb
  sub-directories of 1Mb or more:
    libs  12.7Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is 13.3Mb
  sub-directories of 1Mb or more:
    libs  13.0Mb

Dependency Network

Dependencies Reverse dependencies optimx GeneralizedHyperbolic gsl coda Rcpp MASS lme4 data.table Matrix BayesLN

Version History

new 0.2.12 Mar 10, 2026
updated 0.2.12 ← 0.2.10 diff Jul 30, 2025
updated 0.2.10 ← 0.2.8 diff Dec 3, 2023
updated 0.2.8 ← 0.2.6 diff Oct 25, 2022
updated 0.2.6 ← 0.2.3 diff May 1, 2022
updated 0.2.3 ← 0.2.2 diff Apr 10, 2022
updated 0.2.2 ← 0.2.1 diff Mar 30, 2021
updated 0.2.1 ← 0.1.2 diff Oct 27, 2020
new 0.1.2 Feb 19, 2020