Skip to content

Imputation via MLE for normal distribution with missing data

License

Notifications You must be signed in to change notification settings

aciobanusebi/normalMleImputation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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")

About

Imputation via MLE for normal distribution with missing data

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages