impute_init: Return a complete Z matrix based on SVD initialization
In udellgroup/mixedgcImp: Missing value imputation for mixed data through Gaussian copula
impute_init R Documentation
Return a complete Z matrix based on SVD initialization
Description
The SVD initialization is based on a complete Z matrix with missing entries filled in by zero. Useful for getting initial estimates of copula parameters
Usage
impute_init(Z, rank, Lower, Upper, d_index)
Arguments
rank
the number of latent factors
Z_meanimp
Initial complete Z with mean (i.e. zero) imputation
r_lower
Lower boundary of truncated intervals for ordinal columns
r_upper
Upper boundary of truncated intervals for ordinal columns
Value
A complte Z matrix
udellgroup/mixedgcImp documentation built on Jan. 25, 2023, 7:55 p.m.
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| impute_init | R Documentation |
Return a complete Z matrix based on SVD initialization
Description
The SVD initialization is based on a complete Z matrix with missing entries filled in by zero. Useful for getting initial estimates of copula parameters
Usage
impute_init(Z, rank, Lower, Upper, d_index)
Arguments
rank |
the number of latent factors |
Z_meanimp |
Initial complete Z with mean (i.e. zero) imputation |
r_lower |
Lower boundary of truncated intervals for ordinal columns |
r_upper |
Upper boundary of truncated intervals for ordinal columns |
Value
A complte Z matrix
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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