get_margin_and_jacobian_row: Get an Estimated Predictive Margin and a Row of the Jacobian...

In jameshenegan/dmsepmlr: Delta Method Standard Errors for various quantities related to the Predictive Margins of a Logistic Regression Model

Description

Helper function for get_margins_results.

Usage

get_margin_and_jacobian_row(model_data, betas, main_effect, value, over)

Arguments

model_data	The data used to fit the Logistic Regression model
betas	The beta coefficients obtained from fitting the Logistic Regression model
main_effect	The name of the variable corresponding to the main effect in your model.
value	0 or 1, corresponding the value of main_effect at this margin.
over	A Boolean variable. If TRUE, compute the equivalent of the Stata command margins, over(var_name). If FALSE, compute the equivalent of margins var_name.

Value

The mean of the predicted probabilities and the corresponding row of the Jacobian matrix.

jameshenegan/dmsepmlr documentation built on Jan. 1, 2021, 4:27 a.m.