edcd60f9853ba2fabdcc13164230ef8454773dd1,ldscore/jackknife.py,Hsq,__init__,#Hsq#Any#Any#Any#Any#Any#Any#Any#Any#Any#,314

Before Change

		self.hsq_cov = np.multiply(np.dot(self.M.T,self.M), no_intercept_cov) / Nbar
		self.coef = self._jknife.est[0,0:self.n_annot] / Nbar
		self.coef_se = np.sqrt(np.diag(no_intercept_cov)/ Nbar)
		self.cat_hsq = np.multiply(self.M, self._jknife.est[0,0:self.n_annot]) / Nbar
		self.cat_hsq_se = np.multiply(self.M, self._jknife.jknife_se[0,0:self.n_annot]) / Nbar
		self.tot_hsq = np.sum(self.cat_hsq)
		self.tot_hsq_se = np.sqrt(np.sum(M*self._jknife.jknife_cov[0:self.n_annot,\

After Change

		self.coef_se = np.sqrt(np.diag(self.coef_cov))
		
		self.cat_hsq = np.multiply(self.M, self.coef)
		self.cat_hsq_cov = np.multiply(np.dot(self.M.T,self.M), self.coef_cov)
		self.cat_hsq_se = np.sqrt(np.diag(self.cat_hsq_cov))
		
		self.tot_hsq = np.sum(self.cat_hsq)
		self.tot_hsq_cov = np.sum(self.cat_hsq_cov)
		self.tot_hsq_se = np.sqrt(self.tot_hsq_cov)	

		numer_delete_vals = np.multiply(self.M,self._jknife.delete_values[:,0:self.n_annot]) / Nbar
		denom_delete_vals = np.sum(numer_delete_vals,axis=1)*np.ones(self.n_annot) 

Instances