Statistics

Order statistics

mars.tensor.amin	Return the minimum of a tensor or minimum along an axis.
mars.tensor.amax	Return the maximum of an array or maximum along an axis.
mars.tensor.nanmin	Return minimum of a tensor or minimum along an axis, ignoring any NaNs.
mars.tensor.nanmax	Return the maximum of an array or maximum along an axis, ignoring any NaNs.
mars.tensor.ptp	Range of values (maximum - minimum) along an axis.

Average and variances

mars.tensor.average	Compute the weighted average along the specified axis.
mars.tensor.mean	Compute the arithmetic mean along the specified axis.
mars.tensor.std	Compute the standard deviation along the specified axis.
mars.tensor.var	Compute the variance along the specified axis.
mars.tensor.nanmean	Compute the arithmetic mean along the specified axis, ignoring NaNs.
mars.tensor.nanstd	Compute the standard deviation along the specified axis, while ignoring NaNs.
mars.tensor.nanvar	Compute the variance along the specified axis, while ignoring NaNs.

Correlating

mars.tensor.corrcoef	Return Pearson product-moment correlation coefficients.
mars.tensor.cov	Estimate a covariance matrix, given data and weights.

Histograms

mars.tensor.bincount	Count number of occurrences of each value in array of non-negative ints.
mars.tensor.digitize	Return the indices of the bins to which each value in input tensor belongs.
mars.tensor.histogram	Compute the histogram of a set of data.
mars.tensor.histogram_bin_edges	Function to calculate only the edges of the bins used by the histogram function.

Statistical tests

mars.tensor.stats.chisquare	Calculate a one-way chi-square test.
mars.tensor.stats.ks_1samp	Performs the one-sample Kolmogorov-Smirnov test for goodness of fit.
mars.tensor.stats.ks_2samp	Compute the Kolmogorov-Smirnov statistic on 2 samples.
mars.tensor.stats.power_divergence	Cressie-Read power divergence statistic and goodness of fit test.
mars.tensor.stats.ttest_1samp	Calculate the T-test for the mean of ONE group of scores.
mars.tensor.stats.ttest_ind	Calculate the T-test for the means of two independent samples of scores.
mars.tensor.stats.ttest_ind_from_stats	T-test for means of two independent samples from descriptive statistics.
mars.tensor.stats.ttest_rel	Calculate the t-test on TWO RELATED samples of scores, a and b.