Description Usage Arguments Value
View source: R/logistic pseudononmy.R View source: R/logistic_pseudononmy.R
Calculate expected optimality for a given trajectory using sequential approach. We assume a logistic model for the response.
1 | future.logis(D.fix, n.r, z.probs, beta, int, sim, code = 0, lossfunc, ...)
|
D.fix |
Design matrix constructed using the true covariates in the experiment so far |
n.r |
length of trajectory to be simulated |
z.probs |
vector of probabilities for each level of covariate z |
beta |
current estimate of regression coefficients |
int |
set to T if you allow for treatment-covariate interactions in the model, NULL otherwise |
sim |
number of trajectories to simulate |
code |
set to NULL if (-1,1) coding is used for the treatments. Set to 0 if (0, 1) is used. |
lossfunc |
the objective function to minimize |
... |
further arguments to be passed to <lossfunc> |
loss of the design matrix which includes trajectory
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