estimate_erf: Estimate Exposure Response Function

In CausalGPS: Matching on Generalized Propensity Scores with Continuous Exposures

Estimate Exposure Response Function

Description

Estimates the exposure-response function (ERF) for a matched and weighted dataset using parametric, semiparametric, and nonparametric models.

Usage

estimate_erf(.data, .formula, weights_col_name, model_type, w_vals, ...)

Arguments

.data	A data frame containing an observed continuous exposure variable, weights, and an observed outcome variable. Includes an id column for future reference.
.formula	A formula specifying the relationship between the exposure variable and the outcome variable. For example, Y ~ w.
weights_col_name	A string representing the weight or counter column name in .data.
model_type	A string representing the model type based on preliminary assumptions, including parametric, semiparametric, and nonparametric models.
w_vals	A numeric vector of values at which you want to calculate the ERF.
...	Additional arguments passed to the model.

Value

Returns an S3 object containing the following data and parameters:

• .data_original <- result_data_original

• .data_prediction <- result_data_prediction

• params

CausalGPS documentation built on June 22, 2024, 9:31 a.m.