inference_general.RdThis function produces floodgate LCB using the Delta method.
inference_general( R, V = NULL, V_mean = NULL, alevel = 0.05, test = "z", one.sided = TRUE )
| R | a vector of length n2, corresonding the term in the paper. | 
|---|---|
| V | a vector of length n2, corresonding the term in the paper (defaul: NULL). | 
| V_mean | the expected conditional variance term Var(Xj |X-j) (defaul: NULL). | 
| alevel | confidence level (defaul: 0.05). | 
| test | type of the hypothesis test (defaul: "z"). | 
| one.sided | whether to obtain LCB or p-values via the one-sided way (default: TRUE). | 
A vector of length 4: p-value, LCI, UCI and LCB.
Zhang L, Janson L (2020). “Floodgate: Inference for Model-Free Variable Importance.” arXiv preprint arXiv:2007.01283.
Other methods: 
calculate.V_mean(),
calulate.mu_Xk(),
fg.inference.binary(),
fg.inference(),
fit.mu(),
floodgate.binary(),
floodgate()