model_comparison: Model Comparison

In dlim: Distributed Lag Interaction Model

Model Comparison

Description

Compare models to test for interaction

Usage

model_comparison(fit, null = "none", x, B, conf.level = 0.95)

Arguments

fit	dlim object (must be fit with REML)
null	specify the type of interaction in the null model, "none" for no interaction (standard DLM), "linear" for linear interaction (DLIM-linear), or "quadratic" for quadratic interaction
x	exposure
B	number of bootstrap samples
conf.level	The confidence level (class "numeric")

Value

The function returns a decision to either reject or fail to reject the null model. The object returned has an attribute "pval" that is the empirical bootstrap p-value

See Also

Type vignette('dlimOverview') for a detailed description.

dlim

dlim documentation built on June 10, 2025, 9:09 a.m.