attach_config {tidyhte}

Attach an HTE_cfg to a dataframe

Description

This adds a configuration attribute to a dataframe for HTE estimation. This configuration details the full analysis of HTE that should be performed.

Usage

attach_config(data, .HTE_cfg)

Arguments

data

dataframe

.HTE_cfg

HTE_cfg object representing the full configuration of the HTE analysis.

Details

For information about how to set up an HTE_cfg object, see the Recipe API documentation basic_config().

To see an example analysis, read vignette("experimental_analysis") in the context of an experiment, vignette("experimental_analysis") for an observational study, or vignette("methodological_details") for a deeper dive under the hood.

See Also

basic_config(), make_splits(), produce_plugin_estimates(), construct_pseudo_outcomes(), estimate_QoI()

Examples

library("dplyr")
if(require("palmerpenguins")) {
data(package = 'palmerpenguins')
penguins$unitid = seq_len(nrow(penguins))
penguins$propensity = rep(0.5, nrow(penguins))
penguins$treatment = rbinom(nrow(penguins), 1, penguins$propensity)
cfg <- basic_config() %>% 
add_known_propensity_score("propensity") %>%
add_outcome_model("SL.glm.interaction") %>%
remove_vimp()
attach_config(penguins, cfg) %>%
make_splits(unitid, .num_splits = 4) %>%
produce_plugin_estimates(outcome = body_mass_g, treatment = treatment, species, sex) %>%
construct_pseudo_outcomes(body_mass_g, treatment) %>%
estimate_QoI(species, sex)
}