Score.A.FUN: Calculate score and negative information (A) matrix for a Cox...

In michaelyanwang/divideconquer: Divide-and-conquer adaptive lasso using least square approximation

Description

Score.A.FUN evaluates score and negative information (A)

Usage

Score.A.FUN(data, betahat, rtn = "score")

Arguments

data	a matrix with first column = U, second column = delta (0/1), rest = design
betahat	at which coefficient level to evaluate score and negative information
rtn	'Score' returns only the score function, 'Score+A' returns score and negative information (second derivative of PL), 'Score+A+Approx' returns score and negative information (approximated by -SS')

michaelyanwang/divideconquer documentation built on Aug. 16, 2019, 10:11 a.m.