GLoMo: Naive General Location Model

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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).

Author
Nick Sabbe
Date of publication
2013-04-17 15:43:49
Maintainer
Nick Sabbe <nick.sabbe@ugent.be>
License
GPL (>= 2)
Version
1.7.4

View on R-Forge

Man pages

combineGLoMos
Combine a set of similar GLoMo objects into 1
getGuidData
Unique identifiers for all rows of dfr and their matches in a...
GLoMo
Fit naive General Location Model
GLoMo-package
Naive General Location Model
predict.conditional
Predict from GLoMo model with conditional rejection
predict.GLoMo
Predict (sample) data from GLoMo model
randomFillAndRepeatDataRow
Fill unmatched datarow in GLoMo
rCatsAndCntInDfr
(Multiply) complete dataset based on marginal properties of...
reusableDataForGLoMoSampling
Calculate GLoMo data that is usable for repeated 'completing'...
updateGuidData
Update 'GuidData' object from one GLoMo to the next

Files in this package

GLoMo/DESCRIPTION
GLoMo/NAMESPACE
GLoMo/R
GLoMo/R/GLoMo.r
GLoMo/man
GLoMo/man/GLoMo-package.Rd
GLoMo/man/GLoMo.Rd
GLoMo/man/combineGLoMos.Rd
GLoMo/man/getGuidData.Rd
GLoMo/man/predict.GLoMo.Rd
GLoMo/man/predict.conditional.Rd
GLoMo/man/rCatsAndCntInDfr.Rd
GLoMo/man/randomFillAndRepeatDataRow.Rd
GLoMo/man/reusableDataForGLoMoSampling.Rd
GLoMo/man/updateGuidData.Rd