Man pages for michaelyanwang/divideconquer
Divide-and-conquer adaptive lasso using least square approximation

A.funCalculate negative information (A) for logistic regression.
cumsum2Cumulative sum
dg.logitInner function for one-step estimator
Est.ALASSO.Approx.GLMNETLeast square approximated adaptive lasso
Est.ALASSO.GLMNETA wrapper for adaptive lasso
Est.ALASSO.GLMNET.CVA modified wrapper for adaptive lasso with the optimal...
Est.ALASSO.GLMNET.TANGXIEA wrapper for divide-and-conquer adaptive lasso proposed by...
g.logitInner function for one-step estimator
iteration.funOne-step iteration function for divide-and-conquer logistic...
iteration.fun.coxOne-step iteration function for divide-and-conquer Cox model
iteration.fun.cox2One-step iteration function for divide-and-conquer Cox model
iteration.fun.cox3One-step iteration function for divide-and-conquer...
logitlik.funCalculate log-likelihood for logistic regression.
MCP.XieA wrapper for divide-and-conquer MCP Cox model proposed by...
mycv.coxnetInner function for Est.ALASSO.GLMNET.CV
mycv.glmnetInner function for Est.ALASSO.GLMNET.CV
mycv.lognetInner function for Est.ALASSO.GLMNET.CV
MySumInner function for one-step estimator
ncvsurv2Inner function for MCP.Xie
PI.k.FUNInner function for one-step estimator
Score.A.FUNCalculate score and negative information (A) matrix for a Cox...
SIM.FUNGenerate simulation data to test adaptive lasso
SIM.FUN.TVCGenerate simulation data to test time-dependent Cox model...
U.funCalculate score for logistic regression.
VTMVector to matrix
michaelyanwang/divideconquer documentation built on Aug. 16, 2019, 10:11 a.m.