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: 2026-10-31 08:54:58 UTC; root
Repository: https://piey27.r-universe.dev
Date/Publication: 2025-05-30 09:30:12 UTC
RemoteUrl: https://github.com/piey27/adsorptionmcmc
RemoteRef: HEAD
RemoteSha: 8f7fe2c788bf842cd81ec844601abc3c5cd73127