Description Usage Arguments Value
View source: R/lopt linear pseudononmy.R View source: R/lopt_linear_pseudononmy.R
Calculate (weighted) L-optimal expected optimality for a given trajectory using sequential approach. We assume a linear model for the response.
1 |
D.fix |
Design matrix constructed using the true covariates in the experiment so far |
n.r |
length of trajectory to be simulated |
sim |
number of trajectories to simulate |
z.probs |
vector of probabilities for each level of covariate z |
lossfunc |
the objective function to minimize |
cr |
matrix of contrasts |
prior.scale |
prior scale parameter |
wr |
matrix of weights, set to NULL if equal weights |
... |
further arguments to be passed to <lossfunc> |
loss of the design matrix which includes trajectory
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