logit.mse: Allocate treatments according to the MSE matrix when a...
In mst1g15/biasedcoin:

Allocate treatments according to the MSE matrix when a logisic model for the response is assumed. We simulate responses sequentially.

1 2	logit.mse(covar, true.beta, init, int = NULL, lossfunc = calc.y.D, epsilon = 1e-05, same.start = NULL, true.bvcov = NULL, ...)

`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

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