All functions

Genotypes.parm()

Obtain parameters from a fastPHASE genotype model

HMM.parm()

Obtain model parameters from a randomly generated HMM

calculate.V_mean()

Calculate the expected conditional variance term

calulate.mu_Xk()

Calculate mu(Xk) where Xk denotes the null sample

compute.movi()

Compute the mMSE gap value

cosuff.g_copula.nulls()

Generate null samples for Gaussian copula covariates via co-sufficient sampling

cosuff.gaussian.nulls()

Generate null samples for multivariate Gaussian covariates via co-sufficient sampling

fg.inference()

Core procedure of floodgate

fg.inference.binary()

Core procedure of floodgate: binary responses

fit.mu()

Fit a model on the training data for a given alogorithm

floodgate()

Infer the model-free variable importance, mMSE gap via floodgate

floodgate.binary()

Infer the model-free variable importance, MACM gap for binary responsess via floodgate

funs.list

A list of functions: fitting algorithms.

gen.Y()

Generate response variables

inference_general()

Obtain the floodgate LCB using the Delta method

sample.g_copula.nulls()

Generate null samples for Gaussian copula covariates

sample.gaussian.nulls()

Generate null samples for multivariate Gaussian covariates