get_q_functions {polle}

Get Q-functions

Description

get_q_functions() returns a list of (fitted) Q-functions associated with each stage.

Usage

get_q_functions(object)

Arguments

object

Object of class policy_eval or policy_object.

Value

List of class nuisance_functions.

See Also

predict.nuisance_functions

Examples

### Two stages:
d <- sim_two_stage(5e2, seed=1)
pd <- policy_data(d,
                  action = c("A_1", "A_2"),
                  baseline = c("B"),
                  covariates = list(L = c("L_1", "L_2"),
                                    C = c("C_1", "C_2")),
                  utility = c("U_1", "U_2", "U_3"))
pd

# evaluating the static policy a=1 using outcome regression
# based on a GLM model at each stage.
pe <- policy_eval(type = "or",
                  policy_data = pd,
                  policy = policy_def(1, reuse = TRUE, name = "A=1"),
                  q_models = list(q_glm(), q_glm()))
pe

# getting the Q-functions
q_functions <- get_q_functions(pe)

# getting the fitted g-function values
head(predict(q_functions, pd))