stats

avg_no_outlier(data[, outliers, keep])	Calculate the average of data without trial outliers.
dist(mat[, axis, mode, ddof, where, ...])	Calculate the mean and standard deviation of a matrix.
find_outliers(data, outliers[, deviation, ...])	Find outliers in data matrix.
make_structure(ndim[, ignore])	Make a binary structure with connectivity over every dimension not in
outlier_repeat(data, sd[, rounds, axis, ...])	Remove outliers from data and repeat until no outliers are left.
proportion(val[, comp, tail, axis])	takes a value and a comparison and returns the proportion of the comparison that is greater than the value
sine_f_test(window_fun, x_p)	Computes the F-statistic for sine wave in locally-white noise.
sum_squared(x)	Compute norm of an array.
tail_compare(diff, obs_diff[, tails])	Compare the difference between two groups to the observed difference.
time_cluster(act, perm[, p_val, tails, ignore])	Cluster correction for time series data.
time_perm_cluster(sig1, sig2, p_thresh[, ...])	Calculate significant clusters using permutation testing and cluster correction.
window_averaged_shuffle(sig1, sig2[, ...])	Calculate the window averaged shuffle distribution.