fit_glm: Fit a linear model to EEG data

In neuroconductor/eegUtils: Utilities for Electroencephalographic (EEG) Analysis

Fit a linear model to EEG data

Description

Fits a linear model to each timepoint separately for each electrode.

Usage

fit_glm(formula, data, ...)

## S3 method for class 'eeg_epochs'
fit_glm(formula, data, time_lim = NULL, ...)

Arguments

formula	An object of class formula. Right-hand side A regression formula for a GLM. See ?formula and notes on use below
data	An eegUtils object.
...	Any other arguments passed to (LM/GLM)
time_lim	Numeric vector of length 2 specifying time period to be used as a baseline.

Methods (by class)

• eeg_epochs: GLM fitting for eeg_epochs

Notes On Usage

The fit_glm function will fit a linear model to each timepoint for each electrode in the input dataset.

The formula is a standard R formula. Specify only the right-hand side of the formula i.e. any predictors.

The function allows flexible fitting of a baseline covariate, recognising the term baseline in the specified formula.

Author(s)

Matt Craddock, [e-mail]

neuroconductor/eegUtils documentation built on Feb. 3, 2023, 5:33 p.m.