fit_freundlichNLM

Performs non-linear modeling for the Freundlich adsorption isotherm.

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>.

Paul Angelo C. Manlapaz

adsoRptionCMF

Classical Model Fitting of Adsorption Isotherms

fit_freundlichNLM function

<dl><dt>Ce</dt>
<dd>numeric vector for equilibrium concentration</dd>
<dt>Qe</dt>
<dd>numeric vector for adsorbed amount</dd></dl>

Arguments

Author

Freundlich Isotherm Non-Linear Analysis — fit_freundlichNLM

<dl>

<dt>Ce</dt>
<dd>numeric vector for equilibrium concentration</dd>


<dt>Qe</dt>
<dd>numeric vector for adsorbed amount</dd>

</dl>

fit_freundlichNLM: Freundlich Isotherm Non-Linear Analysis

Description

Value

Arguments

Author

References

Examples