Description Usage Arguments Value
View source: R/lopt logistic.R View source: R/lopt_logistic.R
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
1 | wLopt.t.init(t, z, beta, cr, prior.scale = 100, wr = NULL)
|
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 of the L-optimal objective function
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