brainGraph (version 1.0.0)

brainGraph_GLM_fit: Fit linear models and calculate statistics

Description

This function is partly a wrapper for fastLmPure, fitting a linear model and return the contrast of parameter estimates, standard error, t-statistic, and p-value (given a contrast of interest).

Usage

brainGraph_GLM_fit(X, y, con.vec, alpha = 0.05, alternative = c("two.sided",
  "less", "greater"))

Arguments

X

The design matrix

y

Numeric vector of the outcome variable

con.vec

Numeric vector of the contrast of interest

alpha

Numeric; the significance level (default: 0.05)

alternative

Character string for the alternative hypothesis (default: 'two.sided')

Value

A list containing:

gamma

The contrast of parameter estimates

se

The standard error

t.stat

The t-statistic

p.val

The p-value

ci.low

The lower confidence limit

ci.high

The upper confidence limit

Details

For speed purposes (if it is called from brainGraph_GLM and permutation testing is done), this function does not do argument checking.

See Also

Other GLM functions: brainGraph_GLM_design, brainGraph_GLM