AdIsMF
Adsorption Isotherm Model Fitting
The Langmuir and Freundlich adsorption isotherms are pivotal in characterizing adsorption processes, essential across various scientific disciplines. Proper interpretation of adsorption isotherms involves robust fitting of data to the models, accurate estimation of parameters, and efficiency evaluation of the models, both in linear and non-linear forms. For researchers and practitioners in the fields of chemistry, environmental science, soil science, and engineering, a comprehensive package that satisfies all these requirements would be ideal for accurate and efficient analysis of adsorption data, precise model selection and validation for rigorous scientific inquiry and real-world applications. Details can be found in Langmuir (1918) doi:10.1021/ja02242a004 and Giles (1973) doi:10.1111/j.1478-4408.1973.tb03158.x.
- Version0.1.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release07/26/2024
Team
Debopam Rakshit
Ritwika Das
Show author detailsRolesAuthorArkaprava Roy
Show author detailsRolesAuthorK. M. Manjaiah
Show author detailsRolesAuthorSiba Prasad Datta
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 226 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,134 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Aug 28, 2024 with 51 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports3 packages