ComputeMM_WB: ComputeMM_WB - calculate the maximum cluster extent from a...

In DCAN-Labs/MarginalModelCIFTI: MarginalModelCifti constructs and tests marginal models for surface and volume data.

Description

This function wraps many of the other functions to perform cluster detection analysis using the wild bootstrap.

Usage

ComputeMM_WB(
  x,
  resid_map,
  fit_map,
  type,
  external_df,
  notation,
  family_dist,
  structtype,
  thresh,
  structfile,
  matlab_path,
  surf_command,
  corstr,
  wave,
  zcor,
  correctiontype,
  id_subjects,
  cifti_dim,
  nmeas,
  seeds,
  fastSwE,
  adjustment,
  enrichment_path = NULL,
  modules = NULL,
  cifti_firstsub = NULL,
  output_directory = NULL
)

Arguments

resid_map	The residual map from the geeglm analysis
fit_map	The fitted values map from the geeglm analysis
type	A character string denoting the distribution to use for the wild bootstrap
external_df	A data frame comprising non-brain measures to model.
notation	A character string representing the model formula. Uses Wilkinson notation.
family_dist	A character string denoting the assumed underlying distribution of all input data
structtype	A character string denoting whether the map is volumetric ('volume') or surface-based
matlab_path	A character string denoting the path to the matlab compiler. Please use v91.
surf_command	A character string denoting the path to the SurfConnectivity command.
correctiontype	A character string denoting cluster ('cluster') or point ('point') comparisons
cifti_map	surface array or nifti containing the scalar values – just used to determine the number of participants
zscore_map	The z-scored map from the geeglm analysis

Examples

max_cc <- ComputeMM_WB(cifti_map,zscore_map,resid_map,fit_map,type,external_df,
notation,family_dist,structtype,thresh,structfile,matlab_path,surf_command,correctiontype)

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