impute_pca: PCA Imputation
In davidaarmstrong/legR: Multidimensional Independent Dynamic IRT Models
impute_pca R Documentation
PCA Imputation
Description
Use Principal Components to Impute Voting Data.
Usage
impute_pca(Y)
Arguments
Y
A binary data matrix with missing data.
Details
Uses the method discussed in Potthoff (2018) to impute missing data in a
binary voting data matrix.
Value
A matrix with missing data imputed.
davidaarmstrong/legR documentation built on Oct. 13, 2023, 1:08 p.m.
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| impute_pca | R Documentation |
PCA Imputation
Description
Use Principal Components to Impute Voting Data.
Usage
impute_pca(Y)
Arguments
Y |
A binary data matrix with missing data. |
Details
Uses the method discussed in Potthoff (2018) to impute missing data in a binary voting data matrix.
Value
A matrix with missing data imputed.
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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