In neuroconductor-devel-releases/pbj: Parametric Bootstrap Joint Testing Procedures for Neuroimaging

if (requireNamespace("git2r")) {
  repo = git2r::repository(".")
  url = git2r::remote_url(repo, remote = "origin") 
  gh_user = basename(dirname(url))
} else {
  gh_user = "simonvandekar"
}

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

pbj

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.

Installation

You can install the released version of pbj from GitHub:

devtools::install_github("simonvandekar/pbj")

neuroconductor-devel-releases/pbj documentation built on Oct. 30, 2020, 7:06 a.m.