Return.IPD.design.matrix: Conversion of original IPD into suitable format for further...
In bonorico/gcipdr: Gaussian Copula (based) Individual Person Data (IPD) Reconstruction
Description
Usage
Arguments
Details
See Also
Description
At the level of a raw data holder this function converts the original IPD into a design-matrix-like format onto which marginal moments and pairwise correlations, needed by 'DataRebuild()', are computed.
Usage
1
Return.IPD.design.matrix(data, fill.missing = F)
Arguments
data
an IPD.
fill.missing
logical: if TRUE, application of 'Return.key.IPD.summaries()' on the output of this function will instruct to compute IPD summaries such that 'DataRebuild()' also generates imputations of the missing IPD records.
Details
See Details of 'DataRebuild()' for more info on the required IPD format.
See Also
[Return.key.IPD.summaries()] for IPD summary computation, [DataRebuild()]
bonorico/gcipdr documentation built on May 2, 2021, 8:12 p.m.
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Description Usage Arguments Details See Also
Description
At the level of a raw data holder this function converts the original IPD into a design-matrix-like format onto which marginal moments and pairwise correlations, needed by 'DataRebuild()', are computed.
Usage
1 | Return.IPD.design.matrix(data, fill.missing = F)
|
Arguments
data |
an IPD. |
fill.missing |
logical: if TRUE, application of 'Return.key.IPD.summaries()' on the output of this function will instruct to compute IPD summaries such that 'DataRebuild()' also generates imputations of the missing IPD records. |
Details
See Details of 'DataRebuild()' for more info on the required IPD format.
See Also
[Return.key.IPD.summaries()] for IPD summary computation, [DataRebuild()]
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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