Version 1.3.0

• Got rid of mutate_ and select_ as these functions are now deprecated.
• Removed most of the horrible base plots from the vignette
• Fixed a bug in plot.IsoFitInactivation. It was giving an error when the data was grouped
• Implemented the one-step Geeraerd model
• Updated the documentation to markdown
• Fixed some broken links in the documentation
• Updated the CITATION to bibentry format

Version 1.2.3

• Included function to calculate treatment time to reach X log reductions.
• Implemented function to get a table with indexes for the goodness of fit.
• Extended examples in documentation with new functions.
• Improved the DESCRIPTION
• Updated the vignette.

Version 1.2.2

• Corrected bug in the plotting of dynamic predictions when there were NAs in logN.
• Added the Metselaar model.

Version 1.2.1

• Corrected a bug in the plotting of dynamic predictions when the profile was isothermal.

Version 1.2.0

• Implemented the ggplot2 plotting of isothermal fit objects.
• Added the option to include the temperature profile in the plot.
• The fitting and prediction functions now also accept logN0, as well as N0. If logN0 is a fitting parameters, this variable is fitted, rather than N0 (which is more stable numerically).
• Added the Arrhenius model.

Version 1.1.5

• Corrected the DOI in the citation file.

Version 1.1.4

• Added CITATION file with the information of the paper recently published in Food Research International.

Version 1.1.3

• Added the possibility to pass additional arguments to ode when making predictions.
• Minor corrections and improvements to the vignette.

Version 1.1.2

• Corrected a bug in Geeraerd’s model.

Version 1.1.1

• Added graphics::legend to NAMESPACE.
• Added stats::coef and stats::vcov to NAMESPACE.

Version 1.1.0

• The adjustment is, by default, made targetting the logarithmic count for all cases now.
• Added a tolerance to avoid observations at time 0 causing singularities.
• Function predict_inactivation_MCMC for the calculation of prediction intervals using Monte Carlo methods.
• Plots with ggplot2.
• MCMC prediction intervals using MCMC.
• is. methods for all the objects defined.
• Some minor corrections in function documentation.
• Extended README file.
• Corrected names of the authors in DESCRIPTION.