multivarious: Extensible Data Structures for Multivariate Analysis

transfer

R Documentation

Transfer data from one domain/block to another via a latent space

Description

Convert between data representations in a multiblock or cross-decomposition model by projecting the input new_data from the from domain/block onto a latent space and then reconstructing it in the to domain/block.

Usage

transfer(x, new_data, from, to, opts = list(), ...)

Arguments

`x`	The model fit, typically an object that implements a `transfer` method and ideally a `block_names` method.
`new_data`	The data to transfer, typically matching the dimension of the `from` domain.
`from`	Character string or index identifying the source domain/block. Must be present in `block_names(x)` if that method exists.
`to`	Character string or index identifying the target domain/block. Must be present in `block_names(x)` if that method exists.
`opts`	A list of optional arguments controlling the transfer process: `cols` Optional numeric vector specifying column indices of the target domain to reconstruct. If NULL (default), reconstructs all columns. `comps` Optional numeric vector specifying which latent components to use for the projection/reconstruction. If NULL (default), uses all components. `ls_rr` Logical; if TRUE, use a ridge-regularized LS approach for the initial projection from the `from` domain. Default FALSE. `lambda` Numeric ridge penalty (if `ls_rr=TRUE`). Default 1e-6.
`...`	Additional arguments passed to specific methods (discouraged, prefer `opts`).