Proportional Reduction of Variance from Imputation Models.

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

Value

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

Details

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See also

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

Examples

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