pc#

dpc#

gunfolds.estimation.pc.dpc(data, pval=0.05)[source]#
Parameters:

  • data –

  • pval (float) –

Returns:

Return type:

fdr#

gunfolds.estimation.pc.fdr(alpha, pvalues)[source]#
Parameters:

  • alpha –

  • pvalues –

Returns:

Return type:

fdrCutoff#

gunfolds.estimation.pc.fdrCutoff(alpha, pvalues)[source]#
Parameters:

  • alpha –

  • pvalues –

Returns:

Return type:

fdrQ#

gunfolds.estimation.pc.fdrQ(alpha, pvalues)[source]#
Parameters:

  • alpha –

  • pvalues –

Returns:

Return type:

independent#

gunfolds.estimation.pc.independent(y, X, pval=0.05)[source]#
Parameters:

  • y –

  • X –

  • pval (float) –

Returns:

Return type:

independent_#

gunfolds.estimation.pc.independent_(x, y, alpha=0.05)[source]#
Parameters:

  • x –

  • y –

  • alpha (float) –

Returns:

Return type:

kernel#

gunfolds.estimation.pc.kernel(z)[source]#
Parameters:

z –

Returns:

Return type:

moment22#

gunfolds.estimation.pc.moment22(x, y)[source]#
Parameters:

  • x –

  • y –

Returns:

Return type:

np_fisherZ#

gunfolds.estimation.pc.np_fisherZ(x, y, r)[source]#
Parameters:

  • x –

  • y –

  • r –

Returns:

Return type:

residuals_#

gunfolds.estimation.pc.residuals_(x, y, z)[source]#
Parameters:

  • x –

  • y –

  • z –

Returns:

Return type: