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Estimate Exposure Response Function

Source: R/estimate_erf.R
estimate_erf.Rd

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