gen.Y: Generate response variables
In LuZhangH/floodgate: Floodgate: inference for model-free variable importance

Description Usage Arguments Details Value See Also

This function generates response variables Y under a given conditional model.

1	gen.Y(X, beta, Ydist = "gaussian")

`X`	a n by p matrix, containing all the covariates.
`beta`	a p-dimensional vector, true regression coefficients.
`Ydist`	the type of conditional model.

There are four choices of the conditional model: use "gaussian" to specify a linear model with gaussian noises, use "laplace" to specify a linear model with laplacian noises, use "binom" to specifiy a logistic model, with Y taking values in {-1,1}, use "poisson" to specify a log-poisson model.

A matrix of size n-by-1 containing the response variables.

Other models: Genotypes.parm(), HMM.parm()

LuZhangH/floodgate documentation built on Aug. 30, 2020, 2:10 a.m.