Pinned Repositories
BSGLMM
Bayesian Spatial Generalised Linear Mixed Model
HCPutils
Utility scripts for the Human Connectome Project
NMA
Neuroimaging Meta-Analysis software.
SnPM-devel
Statistical NonParametric Mapping, development version
Software_Comparison
StandardizedDVARS
Tools for creating interpretable versions of the DVARS fMRI diagnostic measure.
nicholst's Repositories
nicholst/SnPM-devel
Statistical NonParametric Mapping, development version
nicholst/BSGLMM
Bayesian Spatial Generalised Linear Mixed Model
nicholst/anderson-HCP
Some HCP utilities
nicholst/bids-specification
Brain Imaging Data Structure (BIDS) Specification
nicholst/bids-website
Website for the Brain Imaging Data Structure standard.
nicholst/BLM-py
This repository contains all code for the python implementation of distributed OLS for locally stored data.
nicholst/cobidas
nicholst/compose-docs
Neurosynth-Compose Documentaiton
nicholst/ConfSets
nicholst/fctSPM
Using spm1d package (v.0.4.3), compute anova and post-hoc tests from anova1 to anova3rm, with a non-parametric approach (permutation tests)
nicholst/FSLutils
Utilities for FSL
nicholst/matlab
Matlab tools that others might find useful
nicholst/Meta_regression_CBMA
implementation with simulated data
nicholst/narps
Code related to Neuroimaging Analysis Replication and Prediction Study
nicholst/Nilearn2021
nicholst/NiMARE
Coordinate- and Image-based meta-analysis in Python
nicholst/nimare-paper
Code for NiMARE software paper
nicholst/ohbm2020-posters
Centralized registry of Jitsi rooms for OHBM 2020 posters.
nicholst/PALM
PALM: Permutation Analysis of Linear Models
nicholst/PermCCA
Permutation inference for Canonical Correlation Analysis
nicholst/PMS
nicholst/project-Meta-Analysis
8 week mini-project
nicholst/PyMARE
PyMARE: Python Meta-Analysis & Regression Engine
nicholst/RFTtoolbox
nicholst/RFX-LGCP
Random Effects Log Gaussian Cox Process Model for Neuroimaging Coordinate-Based Meta Analysis
nicholst/SALSA
FILM2
nicholst/stats-models
nicholst/SwE-toolbox
SwE toolbox
nicholst/tenR
Random R scripts by TE Nichols
nicholst/xDF
xDF estimates variance of Pearson's correlations among highly autocorrelated time series.