iModel-contrasts: iModel Contrasts

In Tokazama/iClass: More intuitive syntax for manipulating imaging data

Description

iModel Contrasts

anova Compute f-statistic or t-statistic contrast for iModel object.

summary Compute f-statistic or t-statistic contrast for iModel object.

Usage

## S4 method for signature 'iModel'
anova(object, contrastMatrix, cthresh = 150,
  threshType = "cFDR", pval = 0.05, pp = 0.001, verbose = TRUE)

## S3 method for class 'iModel'
summary(object, contrastMatrix, cthresh = 150,
  threshType = "pRFT", pval = 0.05, pp = 0.001, verbose = TRUE)

Arguments

object	Object of class iModel.
contrastMatrix	Matrix of weighted contrasts in which each row corresponds to an individual contrast and each column of each row corresponds to a predictor's/variable's specified weights.
cthresh	Minimum desired cluster size (default = 150)
threshType	A numeric value to threshold the statistical field or a character of the following methods: cRFT Computes a threshold per expected cluster level probability. pRFT Uses the mask and pval calculates the minimum statistical threshold. cFDR Uses an uncorrected threshold at the alpha level and then computes and FDR threshold based on cluster maxima. pFDR Computes the fdr threshold for the entire field of voxels.
pval	The p-value for estimating the threshold (default = 0.05).
pp	The primary (initial) p-value for thresholding (only used for FDR methods; default = 0.001).
verbose	Enables verbose output.

Tokazama/iClass documentation built on May 9, 2019, 4:51 p.m.