observed_to_latent: From observed X to latent Z
In udellgroup/mixedgcImp: Missing value imputation for mixed data through Gaussian copula
View source: R/transform_fun.R
observed_to_latent R Documentation
From observed X to latent Z
Description
Given data matrix X, prepare the latent matrix Z and the value bounds for the ordinal dimensions
Usage
observed_to_latent(X, d_index, method = "univariate_mean")
Arguments
X
Original observation matrix
d_index
Boolean vector with TRUE at ordinal dimensions
method
method for initializing the mean
Value
A list containing
ZTransformed latent matrix
LowerLower boundary for ordinal dimensions. NA at missing locations.
UpperUpper boundary for ordinal dimensions. NA at missing locations.
udellgroup/mixedgcImp documentation built on Jan. 25, 2023, 7:55 p.m.
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.
View source: R/transform_fun.R
| observed_to_latent | R Documentation |
From observed X to latent Z
Description
Given data matrix X, prepare the latent matrix Z and the value bounds for the ordinal dimensions
Usage
observed_to_latent(X, d_index, method = "univariate_mean")
Arguments
X |
Original observation matrix |
d_index |
Boolean vector with |
method |
method for initializing the mean |
Value
A list containing
ZTransformed latent matrix
LowerLower boundary for ordinal dimensions.
NAat missing locations.UpperUpper boundary for ordinal dimensions.
NAat missing locations.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.