View source: R/ui_predictions.R
tidy_trajectories | R Documentation |
If neither n_per_chain
and n
are provided, all iterations are
used.
tidy_trajectories(
nm,
mcmc,
n_per_chain = NULL,
n = NULL,
n_grid = 64,
dt = NULL,
grid_size = NULL,
at = NULL,
end = NULL,
use_cache = TRUE,
cores = NULL
)
nm |
A |
mcmc |
The corresponding output from |
n_per_chain |
Integer, number of iterations randomly drawn per chain. Note that iterations are in sync across chains (in practice, random iterations are chosen, and then parameter values extracted for those same iterations from all chains). |
n |
Integer, number of iterations randomly drawn from |
n_grid |
Size of the time grid used to calculate trajectories |
dt, grid_size |
Time step size or grid points, respectively. |
at |
Timepoints at which the predictions should be returned. |
end |
Final timepoint used in the projections. |
use_cache |
Boolean, use cache for faster calculations? |
cores |
Number of cores to use for parallel calculations. Default is
|
Warning: This function is still maturing and its interface and output might change in the future.
A tidy table containing the mcmc iterations (chain, iteration, parameters), the grouping variables from the network model and the trajectories.
tt <- tidy_trajectories(aquarium_mod, aquarium_run, n = 10, cores = 2)
tt
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