imputationPRV: Proportional Reduction of Variance from Imputation Models.

In petersenlab: A Collection of R Functions by the Petersen Lab

Proportional Reduction of Variance from Imputation Models.

Description

Calculate the proportional reduction of variance in imputation models.

Usage

imputationPRV(baseline, full, baselineTime = 1, fullTime = 1)

Arguments

baseline	The baseline model object fit with the imputed data.
full	The full model object fit with the imputed data.
baselineTime	The position of the random effect of time (random slopes) among the random slopes in the baseline model. For example: 0 = no random slopes 1 = time is the 1st random effect 2 = time is the second random effect
fullTime	The position of the random effect of time (random slopes) among the random slopes in the full model. For example: 0 = no random slopes 1 = time is the 1st random effect 2 = time is the second random effect

Details

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Value

The proportional reduction of variance from a baseline mixed-effects model to a full mixed effects model.

See Also

Other multipleImputation: imputationCombine(), imputationModelCompare(), lmCombine()

Examples

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petersenlab documentation built on April 4, 2025, 12:22 a.m.