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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>.
Version: | 0.1.0 |
Imports: | MCMCpack, coda, stats, graphics |
Suggests: | testthat |
Published: | 2025-05-30 |
DOI: | 10.32614/CRAN.package.adsoRptionMCMC |
Author: | Paul Angelo C. Manlapaz
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Maintainer: | Paul Angelo C. Manlapaz <pacmanlapaz at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | adsoRptionMCMC results |
Reference manual: | adsoRptionMCMC.pdf |
Package source: | adsoRptionMCMC_0.1.0.tar.gz |
Windows binaries: | r-devel: adsoRptionMCMC_0.1.0.zip, r-release: adsoRptionMCMC_0.1.0.zip, r-oldrel: adsoRptionMCMC_0.1.0.zip |
macOS binaries: | r-release (arm64): adsoRptionMCMC_0.1.0.tgz, r-oldrel (arm64): adsoRptionMCMC_0.1.0.tgz, r-release (x86_64): adsoRptionMCMC_0.1.0.tgz, r-oldrel (x86_64): adsoRptionMCMC_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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