compute_marginalAPCeffects: Internal helper to compute marginal APC effects and their...

In APCtools: Routines for Descriptive and Model-Based APC Analysis

Internal helper to compute marginal APC effects and their confidence intervals

Description

Internal helper function to add lower and upper confidence boundaries pointwise

Usage

compute_marginalAPCeffects(dat, model, variable, plot_CI = FALSE)

Arguments

dat	Dataset containing predicted effects for a grid of all APC dimensions and covariates used in the model.
model	Model fitted with gam or bam.
variable	One of c("age","period","cohort"), specifying the temporal dimension for which the partial effect plots should be created.
plot_CI	Indicator if 95% confidence intervals for marginal APC effects should be computed. Defaults to FALSE.

Details

If the model was estimated with a log or logit link, the function automatically performs an exponential transformation of the effect.

APCtools documentation built on June 19, 2025, 1:08 a.m.