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LambertW

0.6.9-2Package record

Probabilistic Models to Analyze and Gaussianize Heavy-Tailed, Skewed Data

7packages dependsuggested by 1
70.4Kdownloads / year
63.8%test coverage
11/13flavors OK

Overview

About

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.

Changes in 0.6.9-2
  • fixed Rd file link issue with CRAN warnings

From NEWS.md in the release

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Rd files without \usage:
  ‘common-arguments.Rd’
\arguments should not be documented without \usage.

CRAN check page ↗

Slowest check: 4.3 min · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-09-08
  • ERROR10 OK, 2 NOTE, 1 ERROR2026-09-07
  • NOTE12 OK, 1 NOTE2026-07-11
  • OK13 OK2026-05-02
  • NOTE11 OK, 1 NOTE2026-04-25
Show 6 earlier changesHide 6 earlier changes
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-04-16
  • NOTE11 OK, 3 NOTE2026-03-30
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-03-28
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.6.9-2
READMEYes · 156 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.6.9-2Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
42 (1 internal)includes a package overview page
Examples that run
81%26 run in a plain check · 4 never run · 2 hold no code
Exported functions with examples
78%
Documented parameters
89%
Return-value docs
92%
Help pages citing references
14%

Downloads

70.4K
CRAN downloads in the past year
Rank #1,732 · ~193/day · ~5.9K/mo
Daily download trend is not available in this view yet.
3.9K30 days
12K90 days
70.4K1 year
Compare downloads with other packages →
Also on1.2K r2u5 autocran4.1K conda_forge123 c2d4u

Repository

10Stars
2Forks
0Open issues
1Open PRs
3Releases
51Commits
1Commit identities
heavy-tailedheavy-tailed-distributionsskewed-dataleptokurtosisnormalizationnormal-distributiongaussianizegaussianize-data
51 commits · Last activity 2025-08-21
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
10
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2024-11-30 · 92026-07-07 · 10
PracticesBeta

Checks run against github.com/gmgeorg/lambertw on 2026-10-18.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
16 external dependencies (excludes base and recommended)

Installing LambertW adds 25 packages (14 with compiled code, 28 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, Rcpp 1.8 MB.

Depends (2)
Imports (8)
lamWstatsgraphicsgrDevicesRColorBrewerreshape2Rcppmethods
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
7direct
7indirect
Depends 1 · Imports 6
Suggested by 1
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer since 0.1.0 (2009)
Releases (27)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • R
    R 3.0.0 released · 2013-04-03
  • R
    R 2.15.0 released · 2012-03-30
  • R
    R 2.14.0 released · 2011-10-31
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  • 2.13.1Latest
    record
    2011-06-25 · current release · diff ↗ ·
    added 1 export
    pattern:^[[:alpha:]]+
  • R
    R 2.13.0 released · 2011-04-13
  • 2.12.2
    record
    2011-01-10 · diff ↗
  • R
    R 2.12.0 released · 2010-10-15
  • R
    R 2.11.0 released · 2010-04-22
  • 2.11.0
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    2010-01-07 · diff ↗
  • R
    R 2.10.0 released · 2009-10-26
  • R
    R 2.9.0 released · 2009-04-17
  • 2.10.0
    record
    2009-03-21 · diff ↗
  • 0.6.9-2
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    2025-08-21 · diff ↗
  • 0.6.9-1
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    2023-11-30 · diff ↗
  • 0.6.9
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    2023-10-30 · diff ↗
  • 0.6.8
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    2023-09-03 · diff ↗
  • 0.6.7-1
    record
    2022-09-22 · diff ↗
  • 0.6.7
    record
    2022-02-28 · diff ↗ ·
    removed 1 export
    ks.test.t
    added 1 export
    ks_test_t
  • 0.6.6
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    2020-12-16 · diff ↗
  • 0.6.5
    record
    2020-06-08 · diff ↗
  • 0.6.4
    record
    2016-03-29 · diff ↗
  • 0.6.2
    record
    2016-02-05 · diff ↗ ·
    removed 1 export
    mc
    added 6 exports
    analyze_convergence, bootstrap, deriv_log_W, kurtosis, medcouple_estimator, skewness
  • 0.6.0
    record
    2015-09-08 · diff ↗ ·
    added 4 exports
    deriv_xexp, log_deriv_W, normalize_by_tau, xexp
  • 0.5.1
    record
    2015-04-28 · diff ↗ ·
    added 2 exports
    test_norm, test_normality
  • 0.5
    record
    2014-11-22 · diff ↗ ·
    removed 1 export
    pattern:^[[:alpha:]]+
    added 83 exports
    G_2delta_2alpha, G_delta, G_delta_alpha, Gaussianize, H, H_gamma, IGMM, MLE_LambertW, W, W_1, W_2delta, W_2delta_2alpha, W_delta, W_delta_alpha, W_gamma, W_gamma_1, beta2tau, beta_names, bounds_theta, check_beta, check_distname, check_tau, check_theta, complete_tau, complete_theta, create_LambertW_input, create_LambertW_output, d1W_1, dLambertW, dU and 53 more
  • 0.2.9.9.5
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    2014-03-10 · diff ↗
  • 0.2.9.9
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    2012-01-08 · diff ↗
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    2011-06-01 · diff ↗
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    2011-05-11 · diff ↗
  • 0.2.6
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    2011-01-11 · diff ↗
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    2011-01-03 · diff ↗
  • 0.1.9
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    2010-01-10 · diff ↗
  • 0.1.8
    record
    2009-12-29 · diff ↗
  • 0.1.6
    record
    2009-04-14 · diff ↗
  • 0.1.0
    record
    2009-03-23
  • R
    R 2.8.0 released · 2008-10-20

Package metadata

First published
2009-03-21
Total releases
27 / 17 yrs
License
GPL (>= 2) OSI
Bundled data
26 KB / 2 files
Download size
508 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LambertW")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for LambertW version 0.6.9-2 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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