Infer trajectories

Infer trajectories

infer_trajectories(dataset, method, parameters = NULL,
  give_priors = NULL, mc_cores = 1, verbose = FALSE,
  capture_output = FALSE)

infer_trajectory(dataset, method, parameters = list(),
  give_priors = NULL, mc_cores = 1, verbose = FALSE, ...)

Arguments

dataset	One or more datasets, as created using dynwrap
method	One or more methods. Must be one of: an object or list of ti_... objects (eg. ti_comp1()) a character vector containing the names of methods to execute (e.g. "scorpius"), or a dynguidelines data frame.
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 method parameter, parameters must be an unnamed list of the same length.
give_priors	All the priors a method is allowed to receive. Must be a subset of all available priors (priors).
mc_cores	The number of cores to use, allowing to parallellise the different datasets
verbose	Whether or not to print information output
capture_output	Whether to capture the stdout and stderr produced by a method
...	Any additional parameters given to the method, will be concatednated to the parameters argument