Longitudinal MAIHDA proportional change in variance (PCV)

Compares the stratum-level random-effect covariance block of the null growth model with that of the adjusted model (null + dimension main effects + their dim:time interactions). Reports the PCV in the baseline (intercept) variance and in the slope variance – the additive-vs-multiplicative split of the intersectional trajectory inequality (Bell, Evans, Holman & Leckie 2024) – and the time-specific PCV over the supplied times.

Usage

maihda_longitudinal_pcv(null_model, adjusted_model, times = NULL)

Arguments

null_model, adjusted_model

Longitudinal maihda_models from a maihda(decomposition = "longitudinal") pair.

times

Optional numeric times for the time-specific PCV; defaults to the null model's reporting grid.

Value

An object of class maihda_long_pcv.