multiple_imputation: Multiple Imputation via Generalised Canonical Procrustes

In AskExplain/gcode: Encodes datasets for prediction and dimension reduction

Multiple Imputation via Generalised Canonical Procrustes

Description

Multiple Imputation via Generalised Canonical Procrustes

Usage

multiple_imputation(
  data_list,
  multi_impute = 5,
  config = gcode::extract_config(verbose = F),
  transfer = gcode::extract_transfer_framework(verbose = F),
  recover = gcode::extract_recovery_framework(verbose = F),
  join = gcode::extract_join_framework(verbose = F)
)

Arguments

config	Configuration parameters (required, default provided)
transfer	Transferring pre-trained model parameters (not required)
recover	Important information used for prediction or imputation (not required)
join	Join parameters that share the same axes to be similar (not required)
data	List of data matrices of varying dimensionality. Attempts to find similarities among all datasets with a core structure.

AskExplain/gcode documentation built on Oct. 4, 2022, 3:07 a.m.