A.fun | Calculate negative information (A) for logistic regression. |
cumsum2 | Cumulative sum |
dg.logit | Inner function for one-step estimator |
Est.ALASSO.Approx.GLMNET | Least square approximated adaptive lasso |
Est.ALASSO.GLMNET | A wrapper for adaptive lasso |
Est.ALASSO.GLMNET.CV | A modified wrapper for adaptive lasso with the optimal... |
Est.ALASSO.GLMNET.TANGXIE | A wrapper for divide-and-conquer adaptive lasso proposed by... |
g.logit | Inner function for one-step estimator |
iteration.fun | One-step iteration function for divide-and-conquer logistic... |
iteration.fun.cox | One-step iteration function for divide-and-conquer Cox model |
iteration.fun.cox2 | One-step iteration function for divide-and-conquer Cox model |
iteration.fun.cox3 | One-step iteration function for divide-and-conquer... |
logitlik.fun | Calculate log-likelihood for logistic regression. |
MCP.Xie | A wrapper for divide-and-conquer MCP Cox model proposed by... |
mycv.coxnet | Inner function for Est.ALASSO.GLMNET.CV |
mycv.glmnet | Inner function for Est.ALASSO.GLMNET.CV |
mycv.lognet | Inner function for Est.ALASSO.GLMNET.CV |
MySum | Inner function for one-step estimator |
ncvsurv2 | Inner function for MCP.Xie |
PI.k.FUN | Inner function for one-step estimator |
Score.A.FUN | Calculate score and negative information (A) matrix for a Cox... |
SIM.FUN | Generate simulation data to test adaptive lasso |
SIM.FUN.TVC | Generate simulation data to test time-dependent Cox model... |
U.fun | Calculate score for logistic regression. |
VTM | Vector to matrix |
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