statsmodels.stats.multitest.RegressionFDR¶
-
class
statsmodels.stats.multitest.
RegressionFDR
(endog, exog, regeffects, method='knockoff', **kwargs)[source]¶ Control FDR in a regression procedure.
- Parameters
- endogarray_like
The dependent variable of the regression
- exogarray_like
The independent variables of the regression
- regeffects
RegressionEffects
instance
An instance of a RegressionEffects class that can compute effect sizes for the regression coefficients.
- method
str
The approach used to assess and control FDR, currently must be ‘knockoff’.
- Returns
Returns
an
instance
of
the
RegressionFDR
class.The
fdrattribute
holds
the
estimated
false
discovery
rates.
Notes
This class Implements the knockoff method of Barber and Candes. This is an approach for controlling the FDR of a variety of regression estimation procedures, including correlation coefficients, OLS regression, OLS with forward selection, and LASSO regression.
For other approaches to FDR control in regression, see the statsmodels.stats.multitest module. Methods provided in that module use Z-scores or p-values, and therefore require standard errors for the coefficient estimates to be available.
The default method for constructing the augmented design matrix is the ‘equivariant’ approach, set design_method=’sdp’ to use an alternative approach involving semidefinite programming. See Barber and Candes for more information about both approaches. The sdp approach requires that the cvxopt package be installed.
Methods
summary
()threshold
(tfdr)Returns the threshold statistic for a given target FDR.