Create parameter documentation to inherit
CausalQueries_internal_inherit_params(
model,
query,
join_by,
parameters,
P,
A,
data,
data_events,
node,
statement,
using,
n_draws
)This function does not return anything. It is used to inherit roxygen documentation
A causal_model. A model object generated by
make_model.
A character string. An expression defining nodal types to interrogate. An expression of the form "Y[X=1]" asks for the value of Y when X is set to 1
A logical operator. Used to connect causal statements: AND ('&') or OR ('|'). Defaults to '|'.
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 data.frame. Parameter matrix. Not required but may be
provided to avoid repeated computation for simulations. See inspect(model, "parameter_matrix").
A data.frame. Ambiguities matrix. Not required but may be
provided to avoid repeated computation for simulations. inspect(model, "ambiguities_matrix")
A data.frame. Data of nodes that can take three values:
0, 1, and NA. In long form as generated by make_events
A 'compact' data.frame with one row per data type. Must be compatible with nodes in
model. The default columns are
event, strategy and count.
A character string. The quoted name of a node.
A character string. A quoted causal statement.
A character string. Indicates whether to use `priors`, `posteriors` or `parameters`.
An integer. If no prior distribution is provided,
generate prior distribution with n_draws number of draws.