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adsoRptionCMF  

Classical Model Fitting of Adsorption Isotherms
View on CRAN: Click here


Download and install adsoRptionCMF package within the R console
Install from CRAN:
install.packages("adsoRptionCMF")

Install from Github:
library("remotes")
install_github("cran/adsoRptionCMF")

Install by package version:
library("remotes")
install_version("adsoRptionCMF", "0.1.1")



Attach the package and use:
library("adsoRptionCMF")
Maintained by
Paul Angelo C. Manlapaz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-06-05
Latest Update: 2025-06-28
Description:
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>.
How to cite:
Paul Angelo C. Manlapaz (2025). adsoRptionCMF: Classical Model Fitting of Adsorption Isotherms. R package version 0.1.1, https://cran.r-project.org/web/packages/adsoRptionCMF. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.1.0 (2025-06-05 12:00)
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Complete documentation for adsoRptionCMF
Functions, R codes and Examples using the adsoRptionCMF R package
Full adsoRptionCMF package functions and examples
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