get_event_probabilities draws event probability vector w given a single realization of parameters
get_event_probabilities( model, parameters =NULL, A =NULL, P =NULL, given =NULL)
Arguments
model: A causal_model. A model object generated by make_model.
parameters: A vector of real numbers in [0,1]. Values of parameters to specify (optional). By default, parameters is drawn from the parameters dataframe. See inspect(model, "parameters_df").
A: A data.frame. Ambiguities matrix. Not required but may be provided to avoid repeated computation for simulations. inspect(model, "ambiguities_matrix")
P: A data.frame. Parameter matrix. Not required but may be provided to avoid repeated computation for simulations. See inspect(model, "parameter_matrix").
given: A string specifying known values on nodes, e.g. "X==1 & Y==1"
Returns
An array of event probabilities
Examples
model <- make_model('X -> Y')get_event_probabilities(model = model)get_event_probabilities(model = model, given ="X==1")get_event_probabilities(model = model, parameters = rep(1,6))get_event_probabilities(model = model, parameters =1:6)