optimize_asymmetric_treatment_assignment: Compute Optimal Number of Treatments/Controls

In GreedyExperimentalDesign: Greedy Experimental Design Construction

Compute Optimal Number of Treatments/Controls

Description

Given a total budget and asymmetric treatment and control costs, calculate the number of treatments and controls that optimize the variance of the estimator. The number of treatments is rounded up by default.

Usage

optimize_asymmetric_treatment_assignment(
  c_treatment = NULL,
  c_control = NULL,
  c_total_max = NULL,
  n = NULL
)

Arguments

c_treatment	The cost of a treatment assignment. Default is NULL for symmetric costs.
c_control	The cost of a control assignment. Default is NULL for symmetric costs.
c_total_max	The total cost constraint of any allocation. Either this or n must be specified. Default is NULL.
n	The total cost constraint as specified by the total number of subjects. Either this or c_total must be specified. Default is NULL.

Value

A list with three keys: n, nT, nC plus specified arguments

Author(s)

Adam Kapelner

Examples

 ## Not run: 
	optimize_asymmetric_treatment_assignment(n = 100) 
 #nT = nC = 50
	optimize_asymmetric_treatment_assignment(n = 100, c_treatment = 2, c_control = 1) 
 #nT = 66, nC = 34
	optimize_asymmetric_treatment_assignment(c_total_max = 50, c_treatment = 2, c_control = 1) 
	
## End(Not run)

GreedyExperimentalDesign documentation built on July 26, 2023, 5:48 p.m.