adoptr: Adaptive Optimal Two-Stage Designs

Description Quickstart Designs Data distributions Priors Scores


The adoptr package provides functionality to explore custom optimal two-stage designs for one- or two-arm superiority tests. For more details on the theoretical background see <doi:10.1002/sim.8291> and <doi:10.18637/jss.v098.i09>. adoptr makes heavy use of the S4 class system. A good place to start learning about it can be found here.


For a sample workflow and a quick demo of the capabilities, see here.

A more detailed description of the background and the usage of adoptr can be found here or here <doi:10.18637/jss.v098.i09> .

A variety of examples is presented in the validation report hosted here.


adoptr currently supports TwoStageDesign, GroupSequentialDesign, and OneStageDesign.

Data distributions

Currently, the only implemented data distribution is Normal (one or two arms).


Both ContinuousPrior and PointMassPrior are supported for the single parameter of a DataDistribution.


See Scores for information on the basic system of representing scores. Available scores are ConditionalPower, ConditionalSampleSize, Power, and ExpectedSampleSize..

adoptr documentation built on June 28, 2021, 5:11 p.m.