bayes_binom_one_postlike_nstage
Single arm, any stage, cut-point calculator us posterior predictive distribution of a successful trial occurring to make the cuts.
Bayesian, single arm, two endpoint trial designs, using loss functions to make decisions
trialDesign_binom_one-class
Class "trialDesign_binom_one"
freq_binom_one_simons_twostage
Single arm, two stage, Binomial sample size calculator
Bayesian sample size calculation software
Bayesian, single arm, two endpoint trial design, using posterior probability to make decisions.
Bayesian single-arm single-endpoint minimum sample size
trialDesign_binom_two-class
Class "trialDesign_binom_two"
Properties for single-arm single binomial endpoint trial design
print.list_trialDesign_binom_two
Bayesian, single arm, two endpoint trial design, using posterior probability to make decisions.
Single arm, power calculator for single or multi-stage binomial trials.
Single arm, assurance calculator for single or multi-stage binomial trials.
Functions for integration for Bayesian loss methodology
Single arm, exact p-value calculator for single or multi-stage binomial trials.
Functions for integration for Bayesian loss methodology
bayes_binom_one_postprob_onestage
Bayesian single-arm single-endpoint minimum sample size
~~ Methods for Function properties in Package EurosarcBayes ~~
freq_binom_two_bryantday_twostage
Single arm, two independent endpoint extension to Simons two-stage design
freq_binom_two_singlestage
Frequentist single-arm two-endpoint trial sample size
bayes_binom_one_postprob_nstage
Single arm, any stage, cut-point calculator using posterior probabilities to make the cuts.
Functions for integration for Bayesian loss methodology
Bayesian, single arm, two endpoint trial designs.
binom_two_bryantday-class
Class "binom_two_bryantday"
Single arm, two stage, Binomial sample size calculator
binom_two_singlestage-class
Class "binom_two_singlestage"
LINES prior-posterior distribution with posterior probabilities
tradeoff ellipse_integrate
Functions for integration for Bayesian loss methodology