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adsoRptionCV  

Cross-Validation Methods for Adsorption Isotherm Models
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Download and install adsoRptionCV package within the R console
Install from CRAN:
install.packages("adsoRptionCV")

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

Install by package version:
library("remotes")
install_version("adsoRptionCV", "0.1.0")



Attach the package and use:
library("adsoRptionCV")
Maintained by
Paul Angelo C. Manlapaz
[Scholar Profile | Author Map]
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First Published: 2025-06-03
Latest Update: 2025-06-03
Description:
Provides cross-validation tools for adsorption isotherm models, supporting both linear and non-linear forms. Current methods cover commonly used isotherms including the Freundlich, Langmuir, and Temkin models. This package implements K-fold and leave-one-out cross-validation (LOOCV) with optional clustering-based fold assignment to preserve underlying data structures during validation. Model predictive performance is assessed using mean squared error (MSE), with optional graphical visualization of fold-wise MSEs to support intuitive evaluation of model accuracy. This package is intended to facilitate rigorous model validation in adsorption studies and aid researchers in selecting robust isotherm models. For more details, see Montgomery et al. (2012) <isbn: 978-0-470-54281-1>, Lumumba et al. (2024) <doi:10.11648/j.ajtas.20241305.13>, and Yates et al. (2022) <doi:10.1002/ecm.1557>.
How to cite:
Paul Angelo C. Manlapaz (2025). adsoRptionCV: Cross-Validation Methods for Adsorption Isotherm Models. R package version 0.1.0, https://cran.r-project.org/web/packages/adsoRptionCV. Accessed 24 Oct. 2026.
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