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bioinactivation
View on CRAN: Click
here
Download and install bioinactivation package within the R console
Install from CRAN:
install.packages("bioinactivation")
Install from Github:
library("remotes")
install_github("cran/bioinactivation")
Install by package version:
library("remotes")
install_version("bioinactivation", "1.2.3")
Attach the package and use:
library("bioinactivation")
Maintained by
Alberto Garre
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.bioinactivation . bioinactivation citation info . bioinactivation results . bioinactivation.pdf . bioinactivation: Software for modelling microbial inactivation . bioinactivation_1.2.3.tar.gz . bioinactivation_1.2.3.zip . bioinactivation_1.2.3.zip . bioinactivation_1.2.3.zip . bioinactivation_1.2.3.tgz . bioinactivation_1.2.3.tgz . bioinactivation_1.2.3.tgz . bioinactivation_1.2.3.tgz . bioinactivation_1.2.3.tgz . bioinactivation_1.2.3.tgz . bioinactivation archive . https://CRAN.R-project.org/package=bioinactivation .
First Published: 2015-12-11
Latest Update: 2019-08-01
Description:
Functions for modelling microbial inactivation under
isothermal or dynamic conditions. The calculations are based on several mathematical models broadly
used by the scientific community and industry. Functions enable to make predictions for cases where the
kinetic parameters are known. It also implements functions for parameter estimation for isothermal and
dynamic conditions. The model fitting capabilities include an Adaptive Monte Carlo method for a Bayesian
approach to parameter estimation.
How to cite:
Alberto Garre (2015). bioinactivation: Mathematical Modelling of (Dynamic) Microbial Inactivation. R package version 1.2.3, https://cran.r-project.org/web/packages/bioinactivation. Accessed 29 Mar. 2025.
Previous versions and publish date:
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Other R packages that bioinactivation depends,
imports, suggests or enhances
Complete documentation for bioinactivation
Functions, R codes and Examples using
the bioinactivation R package
Some associated functions: Arrhenius_iso . Bigelow_iso . Metselaar_iso . WeibullMafart_iso . WeibullPeleg_iso . build_temperature_interpolator . check_model_params . dArrhenius_model . dBigelow_model . dGeeraerd_model . dMafart_model . dMetselaar_model . dPeleg_model . dynamic_inactivation . fit_dynamic_inactivation . fit_inactivation_MCMC . fit_isothermal_inactivation . get_isothermal_model_data . get_model_data . get_prediction_cost . goodness_MCMC . goodness_dyna . goodness_iso . goodness_of_fit . is.FitInactivation . is.FitInactivationMCMC . is.IsoFitInactivation . is.PredInactivationMCMC . is.SimulInactivation . isothermal_inactivation . laterosporus_dyna . laterosporus_iso . plot.FitInactivation . plot.FitInactivationMCMC . plot.IsoFitInactivation . plot.PredInactivationMCMC . plot.SimulInactivation . predict_inactivation . predict_inactivation_MCMC . sample_IsoFit . sample_MCMCfit . sample_dynaFit . summary.FitInactivation . summary.FitInactivationMCMC . summary.IsoFitInactivation . time_to_logreduction .
Some associated R codes: AIC_functions.R . arrhenius_model.R . bigelow_model.R . calculate_cost.R . doc_examples.R . dynamic_fit.R . fit_MCMC.R . function_mapping.R . geeraerd_model.R . isothermal_fit.R . isothermal_models.R . make_predictions.R . methods_s3_others.R . methods_s3_plot.R . metselaar_model.R . predict_MCMC.R . temperature_interpolation.R . time_to_reduction.R . weibull-mafart_model.R . weibull-peleg_model.R . Full bioinactivation package functions and examples
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