sample_MCMCfit: Random sample of the parameters of a FitInactivationMCMC...
In albgarre/bioinactivation: Mathematical Modelling of (Dynamic) Microbial Inactivation
sample_MCMCfit R Documentation
Random sample of the parameters of a FitInactivationMCMC object
Description
Function to be called by predict_inactivation_MCMC. Produces
a random sample of the parameters calculated on the iterations of the Monte
Carlo simulation.
Usage
sample_MCMCfit(MCMC_fit, times, n_simulations)
Arguments
MCMC_fit
An object of class FitInactivationMCMC as generated
by fit_inactivation_MCMC.
times
numeric vector specifying the time points when results are
desired. If NULL, the times in MCMC_fit$best_prediction
are used.
n_simulations
a numeric indicating how many Monte Carlo simulations
to perform.
Value
Returns a list with 4 components.
par_sample: data frame with the parameter sample.
simulation_model: model key for the simulation
known_pars: parameters of the model known
times: points where the calculation is made.
albgarre/bioinactivation documentation built on Nov. 27, 2022, 9:19 a.m.
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| sample_MCMCfit | R Documentation |
Random sample of the parameters of a FitInactivationMCMC object
Description
Function to be called by predict_inactivation_MCMC. Produces
a random sample of the parameters calculated on the iterations of the Monte
Carlo simulation.
Usage
sample_MCMCfit(MCMC_fit, times, n_simulations)
Arguments
MCMC_fit |
An object of class |
times |
numeric vector specifying the time points when results are
desired. If |
n_simulations |
a numeric indicating how many Monte Carlo simulations to perform. |
Value
Returns a list with 4 components.
par_sample: data frame with the parameter sample.
simulation_model: model key for the simulation
known_pars: parameters of the model known
times: points where the calculation is made.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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