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adsoRptionMCMC

0.1.0Package record

Bayesian Estimation of Adsorption Isotherms via MCMC

0packages depend
6.2Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Provides tools for Bayesian parameter estimation of adsorption isotherm models using Markov Chain Monte Carlo (MCMC) methods. This package enables users to fit non-linear and linear adsorption isotherm models—Freundlich, Langmuir, and Temkin—within a probabilistic framework, capturing uncertainty and parameter correlations. It provides posterior summaries, 95% credible intervals, convergence diagnostics (Gelman-Rubin), and visualizations through trace and density plots. With this R package, researchers can rigorously analyze adsorption behavior in environmental and chemical systems using robust Bayesian inference. For more details, see Gilks et al. (1995) doi:10.1201/b14835, and Gamerman & Lopes (2006) doi:10.1201/9781482296426.

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:
  ‘mcmc_freundlichLM.Rd’ ‘mcmc_freundlichNLM.Rd’ ‘mcmc_langmuirLM1.Rd’
  ‘mcmc_langmuirLM2.Rd’ ‘mcmc_langmuirLM3.Rd’ ‘mcmc_langmuirLM4.Rd’
  ‘mcmc_langmuirNLM.Rd’ ‘mcmc_temkinLM.Rd’ ‘mcmc_temkinNLM.Rd’
\arguments should not be documented without \usage.

CRAN check page ↗

Slowest check: 1.8 min · r-oldrel-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
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
9
Examples that run
100%9 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
100%
Help pages citing references
89%

Downloads

6.2K
CRAN downloads in the past year
Rank #8,385 · ~17/day · ~515/mo
Daily download trend is not available in this view yet.
39130 days
1.1K90 days
6.2K1 year
Compare downloads with other packages →
Also on84 r2u14 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing adsoRptionMCMC adds 6 packages (4 with compiled code, 3.7 MB of source tarballs). Heaviest: mcmc 1.5 MB, quantreg 903 KB, MCMCpack 718 KB.

Depends (0)
none
Imports (4)
MCMCpackcodastatsgraphics
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.1.0 (2025)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2025-05-30 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-05-30
Total releases
1 / 1 yrs
License
GPL-3 OSI
Download size
10 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("adsoRptionMCMC")
Manlapaz, P. A. C. (2025). adsoRptionMCMC: Bayesian Estimation of Adsorption Isotherms via MCMC (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.adsoRptionMCMC

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 adsoRptionMCMC version 0.1.0 [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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