General Location Model as e.g. found in "Statistical Analysis with Missing Data". This version can be fit to a data.frame or numdfr without missing data, and supports prediction of new data and 'completion prediction' of data with missing values. It also supports conditional completion (as needed in EMLasso).
|Date of publication||2013-04-17 15:43:49|
|Maintainer||Nick Sabbe <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on R-Forge|
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