Description Usage Arguments Value See Also Examples
This is a main function of this package. It refits each model multiple times after performing a non-parametric bootstrap on the data. This is used to ultimately derive confidence intervals on parameter estimates.
1 2 | boot_all_models(models_list, data, n_boot = 40L, xtol_rel = 1e-07,
maxtime = Inf, n_CPU = 2L, save_rda = FALSE, seed = 1L)
|
models_list |
The list of fitted models |
data |
The dataset to be used |
n_boot |
The number of bootstrapped dataset to generate and fit |
xtol_rel |
Tolerance parameter for nloptr |
maxtime |
Maximum time (in seconds) allowed for nloptr to fit; use Inf for best fit! |
n_CPU |
The number of CPU to use for fitting the bootstrapped datasets |
save_rda |
A boolean indicating whether saving the model as a *.rda object or not |
seed |
An integer giving the seed for the (pseudo-)random generator |
The list containing all the fits.
1 2 3 4 5 | ## Warning: increase n_boot and maxtime for real fits!
Models_boot_test <- boot_all_models(models_list = Models[1:2],
data = SurvEles_small,
n_boot = 2L, maxtime = 1)
Models_boot_test
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