neuroconductor/pbj: Parametric Bootstrap Joint Testing Procedures for Neuroimaging

The pbj package includes a set of parametric bootstrap joint (PBJ) testing procedures designed for neuroimaging data. The statistical tools are more generally applicable, but this package is designed to allow input and output data for NIfTI images. The PBJ tools are designed for voxel-wise and cluster-extent hypothesis testing methods and include semi-PBJ (sPBJ) inference that is robust to variance misspecification using an estimating equations approach.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.1.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("neuroconductor/pbj")
neuroconductor/pbj documentation built on Dec. 11, 2018, 11:31 p.m.