jass.models.stats

Functions

fisher_test(z, cov, invcov)	fisher combination of univariate p-values corrected with bonferoni
make_stat_computer_nan_dumb(cov, stat_func)
make_stat_computer_nopattern(cov, stat_func, ...)	Create the function that computes the joint statistics if no NaN value is in z.
make_stat_computer_pattern(cov, stat_func)	Create the function that computes the joint statistics if NaN values are in z and if the number of selected phenotypes is less than or equal to 16.
make_stat_computer_pattern_big(cov, stat_func)	Create the function that computes the joint statistics if NaN values are in z and if the number of selected phenotypes is greater than or equal to 17.
meta_analysis(z, cov, invcov, **kwargs)	Meta analysis using global sample size to weight z-score
omnibus_stat(z, cov, invcov)	joint statistics "omnibus" strategy
sumz_stat(z, cov, invcov, **kwargs)	joint statistics "sumZ" strategy