ANOVA-class             Analysis of Variance
AverageN2-class         Regularization via L1 norm
Binomial-class          Binomial data distribution
ChiSquared-class        Chi-Squared data distribution
ConditionalPower-class
                        (Conditional) Power of a Design
ConditionalSampleSize-class
                        (Conditional) Sample Size of a Design
Constraints             Formulating Constraints
ContinuousPrior-class   Continuous univariate prior distributions
DataDistribution-class
                        Data distributions
GroupSequentialDesign-class
                        Group-sequential two-stage designs
GroupSequentialDesignSurvival-class
                        Group-sequential two-stage designs for
                        time-to-event-endpoints
MaximumSampleSize-class
                        Maximum Sample Size of a Design
N1-class                Regularize n1
NestedModels-class      F-Distribution
Normal-class            Normal data distribution
OneStageDesign-class    One-stage designs
OneStageDesignSurvival-class
                        One-stage designs for time-to-event endpoints
Pearson2xK-class        Pearson's chi-squared test for contingency
                        tables
PointMassPrior-class    Univariate discrete point mass priors
Prior-class             Univariate prior on model parameter
Scores                  Scores
Student-class           Student's t data distribution
Survival-class          Log-rank test
SurvivalDesign          SurvivalDesign
TwoStageDesign-class    Two-stage designs
TwoStageDesignSurvival-class
                        Two-stage design for time-to-event-endpoints
ZSquared-class          Distribution class of a squared normal
                        distribution
adoptr                  Adaptive Optimal Two-Stage Designs
bounds                  Get support of a prior or data distribution
c2                      Query critical values of a design
composite               Score Composition
condition               Condition a prior on an interval
cumulative_distribution_function
                        Cumulative distribution function
expectation             Expected value of a function
get_initial_design      Initial design
get_lower_boundary_design
                        Boundary designs
make_tunable            Fix parameters during optimization
minimize                Find optimal two-stage design by constraint
                        minimization
n1                      Query sample size of a design
plot,TwoStageDesign-method
                        Plot 'TwoStageDesign' with optional set of
                        conditional scores
posterior               Compute posterior distribution
predictive_cdf          Predictive CDF
predictive_pdf          Predictive PDF
print.adoptrOptimizationResult
                        Printing an optimization result
probability_density_function
                        Probability density function
simulate,TwoStageDesign,numeric-method
                        Draw samples from a two-stage design
subject_to              Create a collection of constraints
tunable_parameters      Switch between numeric and S4 class
                        representation of a design
