Trial                   R6 class for power and sample-size calculations
                        for a clinical trial
aggrsurv                Aggregate data in counting process format
append<-.list           Assignment function to append values to
                        existing list
bisection               Root finding by bisection
covar_add               Add additional covariates to existing list of
                        covariates
covar_bootstrap         Sample from empirical distribution of covariate
                        data
covar_join              Add additional covariates to existing covariate
                        random generator
covar_loggamma          Simulate from a log gamma-gaussian copula
                        distribution
covar_normal            Simulate from multivariate normal distribution
derive_covar_distribution
                        Derive covariate distribution from covariate
                        data type
est_adj                 Construct estimator for the treatment effect in
                        RCT based on covariate adjustment
est_glm                 Construct estimator for the treatment effect in
                        RCT
est_phreg               Marginal Cox proportional hazards model for the
                        treatment effect in RCT
estimate_covar_model_full_cond
                        Full conditional covariate simulation model
get_factor_levels       Get levels for factor columns in data.table
optim_sa                Root solver by Stochastic Approximation
outcome_binary          Simulate from binary model given covariates
outcome_continuous      Simulate from continuous outcome model given
                        covariates
outcome_count           Simulate from count model given covariates
outcome_phreg           Outcome model for time-to-event end-points
                        (proportional hazards)
outcome_recurrent       EXPERIMENTAL: Outcome model for recurrent
                        events with terminal events end-points
rmvn                    Multivariate normal distribution function
rnb                     Simulate from a negative binomial distribution
sample_covar_parametric_model
                        Sample from an estimated parametric covariate
                        model
setargs                 Set default arguments of a function
trial.estimates-class   trial.estimates class object
