This package utilises the Šesták–Berggren equation alongside the Arrhenius equation to make a simple and consistent way for a user to carry out the calculations and predictions required by accelerated stability studies. Currently the package works with decreasing variables, you may choose to transform your increasing variable into a decreasing one but note that your choice of transformation can impact the outcome.
The available functions within the package are as follows:
step1_down()Fit the one-step Šesták–Berggren kinetic model.step1_plot_desc()Plot the stability data.step1_plot_pred()Plot the stability data and visualise the predictions.step1_plot_CI()Plot the stability data and visualise the predictions with confidence intervals.step1_plot_PI()Plot the stability data and visualise the predictions with prediction intervals.step1_plot_T()Plot the stability data and visualise the predictions with focus on one temperature.excursion()Predict a temperature excursion for a product.step1_down_rmse()Calculate Root Mean Square Error (RMSE) for the one-step Šesták–Berggren kinetic model.step1_plot_diagnostic()Generate residual diagnostic plots from a step1_down fit.step1_sample_mvt()Take a selected number of samples from the multivariate t distribution.
Install AccelStab the following way -
install.packages("AccelStab")
library(AccelStab)Log an issue here or contact a moderator.