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Provides tools for classical parameter estimation of adsorption isotherm models, including both linear and nonlinear forms of the Freundlich, Langmuir, and Temkin isotherms. This package allows users to fit these models to experimental data, providing parameter estimates along with fit statistics such as Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). Error metrics are computed to evaluate model performance, and the package produces model fit plots with bootstrapped 95% confidence intervals. Additionally, it generates residual plots for diagnostic assessment of the models. Researchers and engineers in material science, environmental engineering, and chemical engineering can rigorously analyze adsorption behavior in their systems using this straightforward, non-Bayesian approach. For more details, see Harding (1907) <doi:10.2307/2987516>.
Version: | 0.1.0 |
Imports: | nls2, stats, Metrics, ggplot2, boot |
Suggests: | testthat |
Published: | 2025-06-05 |
DOI: | 10.32614/CRAN.package.adsoRptionCMF |
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: | adsoRptionCMF results |
Reference manual: | adsoRptionCMF.pdf |
Package source: | adsoRptionCMF_0.1.0.tar.gz |
Windows binaries: | r-devel: not available, r-release: adsoRptionCMF_0.1.0.zip, r-oldrel: adsoRptionCMF_0.1.0.zip |
macOS binaries: | r-release (arm64): adsoRptionCMF_0.1.0.tgz, r-oldrel (arm64): adsoRptionCMF_0.1.0.tgz, r-release (x86_64): adsoRptionCMF_0.1.0.tgz, r-oldrel (x86_64): adsoRptionCMF_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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