wLopt.pseudo.t: Calculate average L-optimal criterion assuming a logistic...

In mst1g15/biasedcoin:

Description

Calculate average L-optimal criterion assuming a logistic model with continuous treatment after M possible trajectories

Usage

wLopt.pseudo.t(t, D, z, beta, cr, prior.scale = 100, wr = NULL, M, n.r,
  z.probs)

Arguments

t	new treatment
D	current deisgn matrix
z	covariate values of new unit
beta	current estimate of regression parameters
cr	matrix of contrasts
prior.scale	prior scale parameter
wr	matrix of weights, set to NULL if equal weights
M	number of trajectories
n.r	length of each trajectory
z.probs	assumed covariate distribution

Value

average value of L-optimal objective function across M trajectories

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