sample_dynaFit {bioinactivation} | R Documentation |
Function to be called by predict_inactivation_MCMC
. Produces
a random sample of the parameters adjusted from dynamic experiments with non
linear regression.
sample_dynaFit(dynamic_fit, times, n_simulations)
dynamic_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. |
It is assumed that the parameters follow a Multivariate Normal distribution
with the mean the parameters estimated by modFit
. The unscaled
covariance matrix returned by modFit
is used.
The function produces a random sample using the function mvrnorm
.
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.