simfuture: Allocate treatments according to an information matrix based...

In mst1g15/biasedcoin:

Description

Allocate treatments according to an information matrix based optimality criterion allowing for a pseudo-nonmyopic approach. We assume a linear model for the response.

Usage

simfuture(covar, sim, int = NULL, z.probs, lossfunc, stoc = T,
  same.start = NULL, coordex = NULL, ...)

Arguments

covar	a dataframe for the covariates
sim	number of trajectories to simulate
int	set to T if you allow for treatment-covariate interactions in the model, NULL otherwise
z.probs	vector of probabilities for each level of covariate z
lossfunc	the objective function to minimize
stoc	set to T if treatments are allocated using a stochastic method where the probability is determined by the optimality crtierion. Set to F if treatments are allocated deterministically.
same.start	the design matrix to be used for the initial design. If set to NULL, function generates initial design.
coordex	set to T if coordinate exchange algorithm is used to allocate treatments in the trajectory, set to NULL for sequential approach.
...	further arguments to be passed to <lossfunc>

Value

Design matrix D, value of objective function

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