Package: adsoRptionMCMC
Type: Package
Title: Bayesian Estimation of Adsorption Isotherms via MCMC
Version: 0.1.0
Author: Paul Angelo C. Manlapaz [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-1203-2064>)
Maintainer: Paul Angelo C. Manlapaz <pacmanlapaz@gmail.com>
Description: 
  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>.
License: GPL-3
Encoding: UTF-8
Imports: MCMCpack, coda, stats, graphics
Suggests: testthat
Config/testthat/edition: 3
RoxygenNote: 7.3.2
Authors@R: c(
  person(given = "Paul Angelo C.", family = "Manlapaz", role = c("aut", "cre"), 
         email = "pacmanlapaz@gmail.com", comment = c(ORCID = "0000-0002-1203-2064")))
NeedsCompilation: no
Packaged: 2025-05-28 14:36:32 UTC; PTRI
Repository: CRAN
Date/Publication: 2025-05-30 09:30:12 UTC
Built: R 4.6.0; ; 2026-04-27 21:46:49 UTC; unix
