def pvalues(self):
self.compute_statistics()<EOL>lml_alts = self.alt_lmls()<EOL>lml_null = self.null_lml()<EOL>lrs = -<NUM_LIT:2> * lml_null + <NUM_LIT:2> * asarray(lml_alts)<EOL>from scipy.stats import chi2<EOL>chi2 = chi2(df=<NUM_LIT:1>)<EOL>return chi2.sf(lrs)<EOL>
Association p-value for candidate markers.