feature_cor {hdImpute}

High dimensional imputation via batch processed chained random forests Build correlation matrix

Description

High dimensional imputation via batch processed chained random forests Build correlation matrix

Usage

feature_cor(data, return_cor)

Arguments

data

A data frame or tibble.

return_cor

Logical. Should the correlation matrix be printed? Default set to FALSE.

Value

A cross-feature correlation matrix

References

Waggoner, P. D. (2023). A batch process for high dimensional imputation. Computational Statistics, 1-22. doi: <10.1007/s00180-023-01325-9>

van Buuren S, Groothuis-Oudshoorn K (2011). "mice: Multivariate Imputation by Chained Equations in R." Journal of Statistical Software, 45(3), 1-67. doi: <10.18637/jss.v045.i03>

Examples

## Not run: 
feature_cor(data = data, return_cor = FALSE)

## End(Not run)