get_ests_bmlmi | R Documentation |
Compute pooled point estimates, standard error and degrees of freedom according to the Von Hippel and Bartlett formula for Bootstrapped Maximum Likelihood Multiple Imputation (BMLMI).
get_ests_bmlmi(ests, D)
ests |
numeric vector containing estimates from the analysis of the imputed datasets. |
D |
numeric representing the number of imputations between each bootstrap sample in the BMLMI method. |
ests
must be provided in the following order: the firsts D elements are related to analyses from
random imputation of one bootstrap sample. The second set of D elements (i.e. from D+1 to 2*D)
are related to the second bootstrap sample and so on.
a list containing point estimate, standard error and degrees of freedom.
Von Hippel, Paul T and Bartlett, Jonathan W8. Maximum likelihood multiple imputation: Faster imputations and consistent standard errors without posterior draws. 2021
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