LF_Inference_logistic: Inference for linear function in high dimensional logistic...

In prabrishar1/logistic: High Dimensional Inference

Description

Inference for linear function in high dimensional logistic regression

Usage

LF_Inference_logistic(
  X,
  y,
  loading,
  lambda = NULL,
  intercept = FALSE,
  mu = NULL,
  step = NULL,
  resol = 1.5,
  maxiter = 6
)

Arguments

X	the input matrix
y	response
loading	xnew
lambda	tuning parameter
intercept	to be fitted or not
mu	tuning parameter for projection direction
step	step
resol	resolution
maxiter	maximum iteration

Value

logistic linear functional inference

Examples

## Not run: 
LF_Inference_logistic(X = matrix(sample(-2:2,100*400,replace = T),nrow=100,ncol=400),
                      y = rbinom(100,1,0.5), loading = c(1,rep(0,399)), intercept = TRUE)

## End(Not run)

prabrishar1/logistic documentation built on Aug. 3, 2020, 1:11 a.m.