te: Make treatment effect statement (positive)

In CausalQueries: Make, Update, and Query Binary Causal Models

Make treatment effect statement (positive)

Description

Generate a statement for (Y(1) - Y(0)). This statement when applied to a model returns an element in (1,0,-1) and not a set of cases. This is useful for some purposes such as querying a model, but not for uses that require a list of types, such as set_restrictions.

Usage

te(X, Y)

Arguments

X	A character. The quoted name of the input node
Y	A character. The quoted name of the outcome node

Value

A character statement of class statement

See Also

Other statements: complements(), decreasing(), increasing(), interacts(), non_decreasing(), non_increasing(), substitutes()

Examples

te('A', 'B')

model <- make_model('X->Y') %>% set_restrictions(increasing('X', 'Y'))
query_model(model, list(ate = te('X', 'Y')),  using = 'parameters')

# set_restrictions  breaks with te because it requires a listing
# of causal types, not numeric output.

## Not run: 
model <- make_model('X->Y') %>% set_restrictions(te('X', 'Y'))

## End(Not run)

CausalQueries documentation built on June 22, 2024, 6:50 p.m.