dfsp-spirit

# This currently requires fsbrain dev, >= 0.5.0.
#
# You will need to install with: 
#
#    devtools::install_github("dfsp-spirit/fsbrain", ref="geodesic");
#
# until 0.5.0 is available on CRAN.
#

library(fsbrain)

gavinsimpson

## Procuces an animation showing how weighted basis functions combine to produce a sline
##  - this version is for a cubic regression spline basis

## packages required
library('ggplot2')
library('tibble')
library('tidyr')
library('dplyr')
library('mgcv')
library('mvnfast')

mgxd

#!/usr/bin/env python

import pandas as pd
import numpy as np
from argparse import ArgumentParser
import sys
import os

def parse_outliers(outliers, volumes):
    if not outliers:

tsalo

import json
import bisect
from glob import glob
from os.path import join, splitext
from bids.grabbids import BIDSLayout
from dateutil.parser import parse

# subj_dir *must* have trailing /
subj_dir = '/scratch/tsalo006/dset/sub-01/'
sess = '01'