aciobanusebi / normalMleImputation

Imputation via MLE for normal distribution with missing data

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normalMleImputation

Imputation via MLE for normal distribution with missing data. The algorithm used is EM for learning the MLE parameters: mu and Sigma. Then, using the conditional probability, the missing data is imputed.

The R package can be installed via:

devtools::install_github("aciobanusebi/normalMleImputation")

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Imputation via MLE for normal distribution with missing data

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