reveal_outcomes: Reveal outcomes
In CausalQueries: Make, Update, and Query Binary Causal Models

Description Usage Arguments Details Value Examples

Reveal outcomes for all causal types. Calculated by sequentially calculating endogenous nodes. If a do operator is applied to any node then it takes the given value and all its descendants are generated accordingly.

1	reveal_outcomes(model, dos = NULL, node = NULL)

`model`	A `causal_model`. A model object generated by `make_model`.
`dos`	A named `list`. Do actions defining node values, e.g., `list(X = 0, M = 1)`.
`node`	A character. An optional quoted name of the node whose outcome should be revealed. If specified all values of parents need to be specified via `dos`.

reveal_outcomes starts off by creating types (via get_nodal_types). It then takes types of endogenous and reveals their outcome based on the value that their parents took. Exogenous nodes outcomes correspond to their type.

A data.frame object of revealed data for each node (columns) given causal / nodal type (rows) .

model <- make_model("X -> Y")
reveal_outcomes(model)

model <- make_model("X1->Y;X2->M;M->Y")
reveal_outcomes(model, dos = list(X1 = 1, M = 0))

model <- make_model("X->M->Y")
reveal_outcomes(model, dos = list(M = 1), node = "Y")