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Model checking in multiple imputation: an overview and case study
WebArguments dataset. Input dataset. The date character vector (dtc) must be present.new_vars_prefix. Prefix used for the output variable(s). A character scalar is expected. For the date variable "DT" is appended to the specified prefix, for the date imputation flag "DTF", and for the time imputation flag "TMF". WebFor data sets with arbitrary missing patterns, you can use either of the following methods to impute missing values: a Markov chain Monte Carlo (MCMC) method (Schafer, 1997) that assumes multivariate normality, or a fully conditional specification (FCS) method (van Buuren, 2007; Brand, 1999) that assumes the existence of a joint distribution ... boys high schools in centurion
Multiple imputation in R (mice) - How do I test imputation runs?
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