cr.logit.coord: Assuming a logistic model for the response, allocate...

In mst1g15/biasedcoin:

Description

Assuming a logistic model for the response, allocate treatments using a coordinate exchange algorithm according to an information matrix-based optimality criterion. Responses are simulated assuming the true parameter values.

Usage

cr.logit.coord(covar, beta, threshold, kappa, cr.lossfunc = calc.logit.wL, k,
  wt = NULL, ...)

Arguments

covar	a dataframe for the covariates
beta	an estimate for the true values of beta
threshold	the cut-off value for hypothesis tests
kappa	the value of probability at which weights are set at zero
cr.lossfunc	loss function appropriate for linear combinations of parameters
k	the number of random starting designs in the coordinate exchange algorithm
wt	set to T if the above lossfunction is weighted, NULL otherwise
...	further arguments to be passed to <lossfunc>

Value

design matrix D

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