LambertW
0.6.9-2Probabilistic Models to Analyze and Gaussianize Heavy-Tailed, Skewed Data
Overview
Lambert W x F distributions are a generalized framework to analyze skewed, heavy-tailed data. It is based on an input/output system, where the output random variable (RV) Y is a non-linearly transformed version of an input RV X ~ F with similar properties as X, but slightly skewed (heavy-tailed). The transformed RV Y has a Lambert W x F distribution. This package contains functions to model and analyze skewed, heavy-tailed data the Lambert Way: simulate random samples, estimate parameters, compute quantiles, and plot/ print results nicely. The most useful function is 'Gaussianize', which works similarly to 'scale', but actually makes the data Gaussian. A do-it-yourself toolkit allows users to define their own Lambert W x 'MyFavoriteDistribution' and use it in their analysis right away.
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- NOTE2026-07-1112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-05-0213 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-04-2511 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 4 earlier snapshots
- OK2026-04-1614 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-3011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-03-2811 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 88%
- Documented parameters
- 89%
- Return-value docs
- 92%
- References docs
- 14%
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Dependencies
Code & Tests
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People & History
27 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.6.9-2Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.6.9-12023-11-30 · diff ↗
- 0.6.92023-10-30 · diff ↗
- 0.6.82023-09-03 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.6.7-12022-09-22 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.6.72022-02-28 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.6.62020-12-16 · diff ↗
- 0.6.52020-06-08 · diff ↗
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
Show 33 earlier events
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 0.6.42016-03-29 · diff ↗
- 0.6.22016-02-05 · diff ↗
- 0.6.02015-09-08 · diff ↗
- 0.5.12015-04-28 · diff ↗
- RR 3.2.0 released · 2015-04-16
- 0.52014-11-22 · diff ↗
- RR 3.1.0 released · 2014-04-10
- 0.2.9.9.52014-03-10 · diff ↗
- RR 3.0.0 released · 2013-04-03
- RR 2.15.0 released · 2012-03-30
- 0.2.9.92012-01-08 · diff ↗
- RR 2.14.0 released · 2011-10-31
- 2.13.12011-06-25 · diff ↗
- 0.2.9.52011-06-01 · diff ↗
- 0.2.92011-05-11 · diff ↗
- RR 2.13.0 released · 2011-04-13
- 0.2.62011-01-11 · diff ↗
- 2.12.22011-01-10 · diff ↗
- 0.2.52011-01-03 · diff ↗
- RR 2.12.0 released · 2010-10-15
- RR 2.11.0 released · 2010-04-22
- 0.1.92010-01-10 · diff ↗
- 2.11.02010-01-07 · diff ↗
- 0.1.82009-12-29 · diff ↗
- RR 2.10.0 released · 2009-10-26
- RR 2.9.0 released · 2009-04-17
- 0.1.62009-04-14 · diff ↗
- 0.1.02009-03-23 · diff ↗
- 2.10.02009-03-21
- RR 2.8.0 released · 2008-10-20
Package metadata
- First published
- 2009-03-23
- Total releases
- 27 / 17 yrs
- License
- GPL (>= 2) OSI
- Bundled data
- 26 KB / 2 files
- Download size
- 508 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet