README.md
In neuroconductor-devel/pbj: Parametric Bootstrap Joint Testing Procedures for Neuroimaging
The parametric bootstrap joint (pbj) methods are designed for voxel-wise
and cluster-extent inference and include semi-PBJ (sPBJ) inference that
is robust to variance misspecification using an estimating equations
approach. The package is designed for neuroimaging data and allows for
input and output of neuroimaging data.
Ongoing projects
The pbj package is in alpha stage as many features are still being
added.
- A graphical user interface
- Semiparametric multidimensional inference (F-tests)
- Semiparametric longitudinal multidimensional inference (F-test in
repeated measurements models)
- Semiparametric confidence set inference
- Effect size based inference
- Nonparametric bootstrap-based inference
Installation
You can install the released version of pbj from GitHub:
devtools::install_github("simonvandekar/pbj")
neuroconductor-devel/pbj documentation built on May 7, 2021, 7:53 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
The parametric bootstrap joint (pbj) methods are designed for voxel-wise and cluster-extent inference and include semi-PBJ (sPBJ) inference that is robust to variance misspecification using an estimating equations approach. The package is designed for neuroimaging data and allows for input and output of neuroimaging data.
Ongoing projects
The pbj package is in alpha stage as many features are still being added.
- A graphical user interface
- Semiparametric multidimensional inference (F-tests)
- Semiparametric longitudinal multidimensional inference (F-test in repeated measurements models)
- Semiparametric confidence set inference
- Effect size based inference
- Nonparametric bootstrap-based inference
Installation
You can install the released version of pbj from GitHub:
devtools::install_github("simonvandekar/pbj")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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