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FitVerse

1.0-2Package record

Parametric Distribution Fitting and Analysis

0packages depend
1.8Kdownloads / year
19.4%test coverage
13/13flavors OK

Overview

About

Provides a unified, user-friendly interface for fitting parametric probability distributions to continuous univariate data. 'FitVerse' supports 52 distribution families spanning symmetric, right-skewed, heavy-tailed, bounded, and extreme-value shapes, and three estimation methods: Maximum Likelihood Estimation (MLE), Method of Moments (MOM), and L-Moments (L-MOM). Automatic best-fit selection is performed using AIC, BIC, and goodness-of-fit tests (Kolmogorov-Smirnov, Anderson-Darling, Cramer-von Mises (CvM)). Every fitted model produces a publication-quality diagnostic plot: a histogram overlaid with the fitted density curve and the estimated PDF formula annotated directly on the figure. An optional interactive version is produced via 'plotly'. Additional tools include bootstrap confidence intervals for parameter estimates and return levels, batch fitting across multiple columns for automated workflows and web-upload use cases, JSON serialisation for integration with 'Shiny' web applications, and automated HTML/PDF report generation. 'FitVerse' is designed to support data characterisation in survey sampling, hydrology, and actuarial workflows, where identifying the underlying distribution of a variable is a prerequisite for downstream modelling and inference. L-moment estimation follows Hosking (1990) doi:10.1111/j.2517-6161.1990.tb01775.x and Hosking and Wallis (1997, ISBN:9780521430456). Model selection via AIC follows Akaike (1974) doi:10.1109/TAC.1974.1100705 and via BIC follows Schwarz (1978) doi:10.1214/aos/1176344136. Bootstrap confidence intervals follow Efron and Hastie (2016, ISBN:9781107149892).

Install

Health

CRAN checks
13OK
Slowest check: 26.6 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OKNow
  • OK7 OK2026-09-02
Advisories

none known

Documentation

In release 1.0-2
READMENoVignettesYes · 1 · evaluation depends on the environmentNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
22includes a package overview page
Examples that run
64%14 run in a plain check (1 of them under a condition) · 8 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
92%
Return-value docs
100%
Help pages citing references
32%

Downloads

1.8K
CRAN downloads in the past year
Rank #4,615 · ~5/day · ~151/mo
Daily download trend is not available in this view yet.
1.2K30 days
1.8K90 days
1.8K1 year
Compare downloads with other packages →
Also on12 r2u

Dependencies

Declared dependencies
21 external dependencies (excludes base and recommended)

Installing FitVerse adds 35 packages (18 with compiled code, 28 MB of source tarballs). Heaviest: ggplot2 6.0 MB, fitdistrplus 2.4 MB, mc2d 2.1 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.0-1 (2026)
Releases (2)

Pick two releases to compare their code metrics.

  • 1.0-2Latest
    record
    2026-09-06 · current release · diff ↗
  • 1.0-1
    record
    2026-09-01
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-09-01
Total releases
2 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.1.0
Download size
1.0 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FitVerse")
Reddy, K. G., & Khan, M. G. M. (2026). FitVerse: Parametric Distribution Fitting and Analysis (Version 1.0-2) [Computer software]. https://doi.org/10.32614/CRAN.package.FitVerse

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 FitVerse version 1.0-2 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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