func.boot

<p>matrix with indices of possible imputed datasets to sample</p>

data

indices

<p>This function is called internal to Bootstrap_Variance and re-estimates glm model parameters</p>

Provides methods for inference using stacked multiple
imputations augmented with weights. The vignette provides example R code for
implementation in general multiple imputation settings. For additional details
about the estimation algorithm, we refer the reader to Beesley, Lauren J and
Taylor, Jeremy M G (2020) <e2><80><9c>A stacked approach for chained equations multiple
imputation incorporating the substantive model<e2><80><9d> <doi:10.1111/biom.13372>,
and Beesley, Lauren J and Taylor, Jeremy M G (2021) <e2><80><9c>Accounting for not-at-random
missingness through imputation stacking<e2><80><9d> <arXiv:2101.07954>.

Michael Kleinsasser

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func.boot: func.boot

Description

Usage

Arguments

Value