Description Usage Arguments Value
Allocate treatments according to the MSE matrix when a logisic model for the response is assumed. We simulate responses sequentially.
1 2 |
covar |
a dataframe for the covariates |
true.beta |
the true parameter values of the data generating mechanism |
init |
the number of units in the initial design |
int |
set to T if you allow for treatment-covariate interactions in the model, NULL otherwise |
lossfunc |
a function for the objective function to minimize |
epsilon |
a small real number used for regularization. If set to zero, no regularization takes place |
same.start |
set to the intial design if desired or set to NULL otherwise |
true.bvcov |
set to the true values of beta if the mse matrix is to be computed using the true values |
... |
further arguments to be passed to <logit.coord> and <lossfunc> |
the design matrix D, responses y, all estimates of beta, final estimate of beta, probabilities of treatment assignment, proportion of favorable responses, value of objective function, trace of var-covar matrix, trace of bias matrix, trace of mse matrix, determinant of mse matrix
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