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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "adsoRptionMCMC" in publications use:'
type: software
license: GPL-3.0-only
title: 'adsoRptionMCMC: Bayesian Estimation of Adsorption Isotherms via MCMC'
version: 0.1.0
doi: 10.32614/CRAN.package.adsoRptionMCMC
abstract: 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) <https://doi.org/10.1201/b14835>, and Gamerman & Lopes (2006) <https://doi.org/10.1201/9781482296426>.
authors:
- family-names: Manlapaz
  given-names: Paul Angelo C.
  email: pacmanlapaz@gmail.com
  orcid: https://orcid.org/0000-0002-1203-2064
repository: https://piey27.r-universe.dev
commit: 8f7fe2c788bf842cd81ec844601abc3c5cd73127
date-released: '2025-05-30'
contact:
- family-names: Manlapaz
  given-names: Paul Angelo C.
  email: pacmanlapaz@gmail.com
  orcid: https://orcid.org/0000-0002-1203-2064