wLopt.t.init: Compute the L-optimal objective function assuming a logistic...

In mst1g15/biasedcoin:

Description

Compute the L-optimal objective function assuming a logistic model (with or without weights) assuming continuous treatment, given a vector of treatment values and a vector of covariates values for additional patients

Usage

wLopt.t.init(t, z, beta, cr, prior.scale = 100, wr = NULL)

Arguments

t	new treatment
z	covariate values of new unit
beta	current estimate of coefficients
cr	matrix of contrasts
prior.scale	prior scale parameter
wr	matrix of weights, set to NULL if equal weights

Value

Value of the L-optimal objective function

mst1g15/biasedcoin documentation built on Nov. 26, 2019, 4:01 a.m.