CalculateMarginalValue: CalculateMarginalValue - a function that will calculate a...

Description Usage Arguments Examples

View source: R/CalculateMarginalValue.R

Description

This function is used in CalculateMarginalModel to calculate an intermediate map for visualizations

Usage

1
CalculateMarginalValue(beta_measures, marginal_measures)

Arguments

beta_measures

The map of parameters for the fitted formula, including an intercept as the first parameter.

marginal_measures

A numeric vector of measures to input per parameter. Ordered in the same order as parameters. Nothing should be specified for the first parameter

Examples

1
marginal_value <- CalculateMarginalValue(beta_measures=beta_measures,marginal_measures=as.array(c(8,9,10)))

DCAN-Labs/MarginalModelCIFTI documentation built on Nov. 30, 2021, 3:40 p.m.