Drying Kinetic Models Comparison and Analysis

Fits multiple thin-layer drying kinetic models to experimental moisture ratio data, compares model performance using statistical criteria, performs residual diagnostics, identifies the best-fitting model, and exports results to Word documents. Twenty models from Ertekin and Firat (2017) are fitted using the Levenberg-Marquardt algorithm described in Marquardt (1963) .


dryingkineticmodels

The dryingkineticmodels package fits 20 thin-layer drying kinetic models to experimental moisture ratio (MR) data, ranks them by statistical criteria, identifies the best model, performs residual diagnostics, and exports a formatted report to a Word document.

Installation

# Install from CRAN
install.packages("dryingkineticmodels")

Usage

library(dryingkineticmodels)

# From an Excel file
result <- dryingkineticmodels("drying_data.xlsx")

# From a data frame
df <- data.frame(
  time = c(0, 30, 60, 90, 120),
  MR   = c(1.00, 0.74, 0.51, 0.32, 0.18)
)
result <- dryingkineticmodels(df)

Models Included

20 thin-layer drying models are fitted, including Lewis, Page, Modified Page, Henderson

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("dryingkineticmodels")

1.0.0 by Joshy C G, 3 months ago


Browse source code at https://github.com/cran/dryingkineticmodels


Authors: Joshy C G [aut, cre] , Devika S [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports readxl, lmtest, minpack.lm, tseries, officer, flextable

Suggests knitr, rmarkdown


See at CRAN