get_lm: Calculate coefficients and standard errors
In neuroconductor/eegUtils: Utilities for Electroencephalographic (EEG) Analysis
get_lm R Documentation
Calculate coefficients and standard errors
Description
Calculate coefficients and standard errors
Usage
get_lm(mdf, x, inverted_dm, resid_df, robust = FALSE)
Arguments
mdf
model matrix
x
data to be modelled (matrix of trials x channels)
inverted_dm
inverted matrix - unscaled covariance
resid_df
residual degrees of freedom for the model
robust
Use heteroskedasticity-consistent covariance (HC3).
neuroconductor/eegUtils documentation built on Feb. 3, 2023, 5:33 p.m.
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| get_lm | R Documentation |
Calculate coefficients and standard errors
Description
Calculate coefficients and standard errors
Usage
get_lm(mdf, x, inverted_dm, resid_df, robust = FALSE)
Arguments
mdf |
model matrix |
x |
data to be modelled (matrix of trials x channels) |
inverted_dm |
inverted matrix - unscaled covariance |
resid_df |
residual degrees of freedom for the model |
robust |
Use heteroskedasticity-consistent covariance (HC3). |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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