View source: R/evaluate_ti_method.R
Running an evaluation of a method on a set of datasets with a set of parameters
1 2 3 |
dataset |
The first trajectory, in most cases a gold standard trajectory |
method |
One or more methods. Must be one of:
|
parameters |
A set of parameters to be used during trajectory inference.
A parameter set must be a named list of parameters.
If multiple methods were provided in the |
metrics |
Which metrics to evaluate. Check |
give_priors |
All the priors a method is allowed to receive. Must be a subset of all available priors (dynwrap::priors). |
output_model |
Whether or not the model will be outputted. |
seed |
A seed to be passed to the TI method. |
map_fun |
A map function to use when inferring trajectories with multiple datasets or methods. Allows to parallellise the execution in an arbitrary way. |
verbose |
Whether or not to print information output. |
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