pass: a no-op pre-processing step
In multivarious: Extensible Data Structures for Multivariate Analysis

View source: R/pre_process.R

pass	R Documentation

a no-op pre-processing step

Description

pass simply passes its data through the chain

Usage

pass(preproc = prepper())

Arguments

preproc

the pre-processing pipeline

Value

a prepper list

multivarious documentation built on Jan. 22, 2026, 1:06 a.m.

multivarious index

README.md Classifying in latent space: k-NN & Random-Forest wrappers Composing Projectors: Chaining Models Contrastive PCA: Finding What''s Different Between Groups Cross-validation for Dimensionality Reduction Extending multiblock: CCA and glmnet Examples Fast Matrix Approximation with the Nyström Method Introduction to the multivarious Package Linear Re-representation with regress() Multiblock basics: one projector, many tables Partial Least Squares Correlation (PLSC) with Inference Partial projection: working with incomplete feature sets Permutation Testing in multivarious Pre-processing pipelines in multiblock SVD wrapper, PCA and the bi_projector

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