remove_lags: Remove actual values from a data set for recursive...

In smimodel: Sparse Multiple Index Models for Nonparametric Forecasting

Remove actual values from a data set for recursive forecasting

Description

Appropriately removes existing (actual) values from the specified column range (lagged response columns) of a given data set (typically a test set for which recursive forecasting is required).

Usage

remove_lags(data, recursive_colRange)

Arguments

data	Data set (a tibble) from which the actual lagged values should be removed.
recursive_colRange	The range of column numbers in data from which lagged values should be removed.

Value

A tibble.

smimodel documentation built on April 8, 2026, 5:06 p.m.