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biocharkitgui: 'Shiny' GUI for the 'biocharkit' Biochar Analysis Toolkit

A point-and-click 'Shiny' interface to the 'biocharkit' package. Lets a user upload Excel workbooks of biochar characterisation and batch adsorption data, map spreadsheet columns to the required variables via dropdown menus, and run sample-ID parsing, adsorption capacity and removal efficiency calculations, isotherm fitting (Langmuir, Freundlich, Temkin, Dubinin-Radushkevich, Sips), kinetics fitting (pseudo-first/ second-order, Elovich, intraparticle diffusion), van't Hoff thermodynamics, batch fitting across many samples at once, FTIR baseline correction, automatic peak picking and functional-group analysis, XRD peak deconvolution and crystallinity index, BET surface area, TGA analysis (DTG curve with auto-detected decomposition peaks, moisture/volatile-matter/ash/fixed-carbon straight off a curve for a single sample or in batch across many, and Kissinger non-isothermal kinetics from multi-heating-rate data), proximate/ultimate analysis, and correlation matrices, without writing any R code. Results and 600 dpi TIFF figures can be downloaded directly from the browser, along with a combined analysis report.

Version: 0.3.0
Depends: R (≥ 4.0)
Imports: biocharkit (≥ 0.3.0), shiny, readxl, DT, rmarkdown, utils
Suggests: testthat (≥ 3.0.0)
Published: 2026-07-30
DOI: 10.32614/CRAN.package.biocharkitgui
Author: Sukamal Sarkar [aut, cre]
Maintainer: Sukamal Sarkar <sukamal.sarkar at gm.rkmvu.ac.in>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: biocharkitgui citation info
Materials: NEWS
CRAN checks: biocharkitgui results

Documentation:

Reference manual: biocharkitgui.html , biocharkitgui.pdf

Downloads:

Package source: biocharkitgui_0.3.0.tar.gz
Windows binaries: r-devel: biocharkitgui_0.3.0.zip, r-release: biocharkitgui_0.3.0.zip, r-oldrel: biocharkitgui_0.3.0.zip
macOS binaries: r-release (arm64): biocharkitgui_0.3.0.tgz, r-oldrel (arm64): biocharkitgui_0.3.0.tgz, r-release (x86_64): biocharkitgui_0.3.0.tgz, r-oldrel (x86_64): biocharkitgui_0.3.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=biocharkitgui to link to this page.

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.