Package index • bfbin2arm

All functions

BFminus0(): Bayes factor BF-0: H- vs H0
BFminus1(): Bayes factor BF-1: H- vs H1
BFplus0(): Bayes factor BF+0: H+ vs H0
BFplus1(): Bayes factor BF+1: H+ vs H1
BFplusMinus(): Bayes factor BF+-: H+ vs H-
as.data.frame(<singlearm_onestage_bf_design>): Convert a one-stage single-arm BF design to a data frame
design_singlearm_bf(): Design or evaluate a single-arm two-stage Bayes factor trial
design_singlearm_onestage_bf(): Design or evaluate a one-stage single-arm Bayes factor trial
design_singlearm_onestage_rope(): Calibrate a one-stage single-arm ROPE design for a binomial endpoint
design_twoarm_onestage_bf(): Design or evaluate a one-stage two-arm Bayes factor trial
design_twoarm_twostage_bf(): Design an optimal two-stage two-arm Bayes factor trial
.sustained_singlearm_feasibility(): Check sustained feasibility over future n
ntwoarmbinbf01(): Sample size calibration for two-arm binomial Bayes factor designs
optimal_onestage_singlearm_bf(): Internal calibration routine for one-stage single-arm BF designs
optimal_onestage_twoarm_bf(): Internal calibration routine for one-stage two-arm BF designs
optimal_twostage_2arm_bf(): Optimal two-stage two-arm Bayes-factor design for binary endpoints
optimal_twostage_singlearm_bf(): Optimal two-stage single-arm Bayes factor design
plot(<singlearm_bf_design>): Plot a single-arm Bayes factor design
plot(<singlearm_onestage_bf_design>): Plot a one-stage single-arm BF design
plot_twostage_2arm_bf(): Plot an optimal two-stage two-arm Bayes factor design
postProbHminus(): Posterior probability P(p2 <= p1 | data)
postProbHplus(): Posterior probability P(p2 > p1 | data) under independent Beta priors
powerbinbf01_fixed(): Bayesian and frequentist operating characteristics for a fixed-sample single-arm BF design
powerbinbf01seq(): Bayesian and frequentist operating characteristics for a single-arm two-stage BF design
powertwoarmbinbf01(): Bayesian power, type-I error, and PCE(H0) for two-arm binomial Bayes factors
predictiveDensityH0(): Predictive density under H0: p1 = p2 = p
predictiveDensityH1(): Predictive density under H1: p1 != p2
predictiveDensityHminus_trunc(): Predictive density under H-: p2 <= p1 (truncated prior)
predictiveDensityHplus_trunc(): Predictive density under H+: p2 > p1 (truncated prior)
print(<singlearm_onestage_bf_design>): Print method for one-stage single-arm BF designs
print(<summary.singlearm_bf_design>): Print method for summary.singlearm_bf_design
print(<summary.singlearm_onestage_bf_design>): Print method for summaries of one-stage single-arm BF designs
priorProbHminus(): Prior probability P(p2 <= p1) under independent Beta priors
priorProbHplus(): Prior probability P(p2 > p1) under independent Beta priors
summary(<singlearm_bf_design>): Summary for single-arm BF designs
summary(<singlearm_onestage_bf_design>): Summarize a one-stage single-arm BF design
twoarmbinbf01(): Two-arm binomial Bayes factor BF01
twoarmbinbf_plus0_direct(): Bayes factor BF+0 for the directional alternative vs point-null