Package index • ModelArray

Package overview

ModelArray-package: ModelArray: Statistical Analysis of Element-Wise Neuroimaging Data

ModelArray class and constructor

ModelArray() show(<ModelArray>): ModelArray class
ModelArray(): Load element-wise data from an HDF5 file

Accessors

sources(): Source filenames of a ModelArray object
scalars(): Element-wise scalar data of a ModelArray object
results(): Statistical results of a ModelArray object
nElements(): Number of elements in a ModelArray
nInputFiles(): Number of input files in a ModelArray
scalarNames(): Names of scalars in a ModelArray
analysisNames(): Names of analyses in a ModelArray
elementMetadata(): Element metadata from a ModelArray
exampleElementData(): Example per-element data.frame for user functions

Analysis functions

ModelArray.lm(): Fit element-wise linear models
ModelArray.gam(): Fit element-wise generalized additive models
ModelArray.wrap(): Run a user-supplied function for element-wise data

Per-element internals

These functions are called internally by the analysis functions. Most users should not call them directly.

analyseOneElement.lm(): Fit a linear model for a single element
analyseOneElement.gam(): Fit a GAM for a single element
analyseOneElement.wrap(): Run a user-supplied function for a single element

Merging

mergeModelArrays(): Merge multiple ModelArrays from different HDF5 files

Utilities

writeResults(): Write outputs from element-wise statistical analysis to an HDF5 file
h5summary() print(<h5summary>): Summarize an HDF5 file without loading a full ModelArray
numElementsTotal(): Number of elements in ModelArray
gen_gamFormula_fxSmooth(): Generate GAM formula with factor-smooth interaction
gen_gamFormula_contIx(): Generate GAM formula with continuous-by-continuous interaction