Discord_Go              Discord_Go
Discord_Grey            Discord_Grey
Discord_NoGo            Discord_NoGo
Intr_func               Intr_func
Location.scale.t        Location-scale t distribution functions
Reparameterized.beta    Reparameterized Beta distribution functions
Reparameterized.gamma   Reparameterized Gamma distribution functions
Reparameterized.normal
                        Reparameterized normal functions
SverdlovFunction        Sverdlov's functions
df_to_clip              Copy a data.frame to the clipboard
gcurve                  gcurve
geom_stepribbon         geom_stepribbon 'geom_stepribbon' is an
                        extension of the 'geom_ribbon', and is
                        optimized for Kaplan-Meier plots with pointwise
                        confidence intervals or a confidence band.
get.ng.post             Normal-Gamma Posterior Updating
get.ng.post.df          Normal-Gamma Posterior Updating data.frame
get.normal.ss.post      Get normal single sample posterior parameters
get.ss.bin.df           Get single sample binary data.frame
get.ss.bin.int.GNG      Get single sample binary interim Go-NoGo
get.ss.bin.int.df       Get single sample binary interim data.frame
get.ss.bin.int.oc       Get single sample binary interim operating
                        characteristics simulation
get.ss.bin.int.oc.sim   Get single sample binary interim operating
                        charactersitics simulations
get.ss.bin.ssize.oc.df
                        Get single sample binary sample size operating
                        charactersitics data.frame
get.ss.bin.studyend.GNG
                        Get single sample binary study end GNG criteria
get.ss.bin.trt.int.oc.df
                        Get single sample binary interim treatment OC
                        data.frame
get.ss.bin.trt.oc.df    Get single sample binary treatment OC
                        data.frame
get.ss.ng.df            Get single sample normal-gamma data.frame with
                        decision output
get.ss.ng.ssize.oc.df   Get single sample normal-gamma sample size Oc
                        curve data.frame
get.ss.ng.studyend.GNG
                        Get single sample normal-gamma study-end GNG
get.ss.ng.trt.int.oc.df
                        Get single sample normal-gamma interim
                        operating characteristic data.frame
get.ss.ng.trt.oc.df     Get single sample normal-gamma treament OC
                        data.frame
get.ss.normal.post      Get single sample normal (with known variance)
                        posterior distribution parameters
get.ts.bin.dec          Get two sample binary decision
get.ts.bin.dec.df       Get Two-sample binary decision data.frame
get.ts.bin.int.dec      Get two-sample binary interim decision
get.ts.bin.int.oc       Get two sample binary interim OC
get.ts.bin.ssize.oc.df
                        Get two-sample binary sample size OC data.frame
get.ts.bin.studyend.GNG
                        Get Two-sample binary study end GNG
get.ts.bin.trt.oc.df    Get two-sample binary treatment OC data.frame
get.ts.ng.mc            Get two-sample normal gamma MC sampling
get.ts.ng.mc.df         Get two-sample normal-gamma MC-based data.frame
get.ts.ng.ssize.oc.df   Get two sample normal-gamma sample size OC
                        data.frame
get.ts.ng.studyend.GNG
                        Get two-sample normal gamma study end GNG
get.ts.ng.trt.int.oc.df
                        Get two-sample normal-gamma interim OC curve
                        data.frame
get.ts.ng.trt.oc.df     Get two-sample normal-gamma treatment OC
                        data.frame
get.tte.df              Get time to event data.frame
get.tte.int.oc.df       Make time to event predictive probability OC
                        curve
get.tte.post            Get posterior parameters for two-sample time to
                        event case using normal approximation to
                        log(HR) - expand.grid
get.tte.post.df         Get posterior parameters for two-sample time to
                        event case using normal approximation to
                        log(HR) - data.frame
get.tte.post.param      Get TTE posterior parameters
get.tte.ssize.oc.df     Get time to event sample size OC data.frame
get.tte.studyend.GNG    Get TTE studyend GNG decision
get.tte.trt.oc.df       Get TTE treatment effect OC curve data.frame
goparallel              Goparallel - initiate a parallel computing
                        environment
interim.calculator      interim.calculator
list_to_dataframe       List to data frame from plyr
make.ss.bin.int.GStable
                        Make single sample binary interim
                        Group-sequential style table
make.ss.bin.int.dec.GridPlot
                        Make single sample binary interim decision grid
make.ss.bin.int.oc.plotSplit
                        Make single sample binary interim OC Split plot
make.ss.bin.int.oc.table
                        Make single sample binary interim OC table
make.ss.bin.int.ocplot
                        Make single sample binary interim OC curve
make.ss.bin.int.req.plot
                        Make single sample binary predictive
                        probability plot
make.ss.bin.int.req.plot2
                        Make single sample binary interim
                        Group-sequential style plot
make.ss.bin.int.req.table
                        Make single sample binary pred prob table
make.ss.bin.ppp         Make single sample binary prior/posterior plot
make.ss.bin.ria         Make single sample binary rule in action plot
make.ss.bin.ssize.oc    Make single sample binary sample size OC curve
make.ss.bin.ssize.oc2   Make single sample binary sample size OC -
                        trend version
make.ss.bin.trt.int.oc
                        Make single sample binary Operating
                        characteristic function vs. treatment effect
make.ss.bin.trt.oc1     Make single sample binary treatment oc curve
make.ss.bin.trt.oc2     Make single sample binary treatment oc curve
                        version 2
make.ss.ng.int.req.plot
                        Make single sample normal-gamma interim data
                        requirement plot
make.ss.ng.int.req.table
                        Make single sample normal-gamma interim data
                        requirements table
make.ss.ng.ppp          Make singple sample normal-gamma prior
                        posterior plot
make.ss.ng.ria          Make single sample normal-gamma rule in action
                        plot
make.ss.ng.ssize.oc     Make single sample normal gamma sample size OC
make.ss.ng.trt.int.oc   Make single sample normal-gamma interim
                        treatment oc curve
make.ss.ng.trt.oc1      Make single sample normal-gamma treatment OC
                        curve
make.ss.ng.trt.oc2      Make single sample normal-gamma treatment OC
                        curve V2
make.ts.bin.int.dec.df
                        Make two-sample binary interim decision table
make.ts.bin.int.dec.plot
                        Make two-sample binary interim decision plot
make.ts.bin.int.oc.plot
                        Make two-sample binary interim oc plot
make.ts.bin.int.oc.table
                        Make two-sample binary interim OC table
make.ts.bin.pp.heatmap
                        Make two-sample binary predictive probability
                        heatmap
make.ts.bin.ppp         Make two-sample binary prior/posterior plot
make.ts.bin.ria         Make two-sample binary rule in action plot
make.ts.bin.ssize.oc    Make two-sample binary sample size operating
                        characteristics curve
make.ts.bin.studyend.GNG.hm
                        Make two-sample binary study end GNG heatmap
make.ts.bin.trt.oc1     Make two-sample binary treatment OC curve
make.ts.bin.trt.oc2     Make two-sample binary treatment OC curve V2
make.ts.ng.int.oc       Make two-sample normal-gamma interim OC plot
make.ts.ng.ppp          Make two-sample normal-gamma prior/posterior
                        plot
make.ts.ng.ria          Make two-sample normal-gamma rule in action
                        plot
make.ts.ng.ssize.oc     Make two-sample normal gamma sample size OC
                        curve
make.ts.ng.studyend.GNG.hm
                        Make two-sample normal-gamma studyend GNG
                        Heatmap
make.ts.ng.studyend.criteria
                        Create lookup table for study-end
make.ts.ng.trt.oc1      Make two-sample normal-gamma treatment OC curve
make.ts.ng.trt.oc2      Make two-sample normal-gamma treatment OC curve
                        V2
make.tte.int.data.plot
                        Make time to event predictive probability
                        cutoff plot
make.tte.int.data.table
                        Make TTE predictive probability table
make.tte.int.oc         Make TTE interim treatment OC curve
make.tte.ppp            Make Time to event prior/posterior plot
make.tte.ria            Make time to event rule in action plot
make.tte.ssize.oc       Make time-to-event sample size OC curve
make.tte.trt.oc1        Make time to event treatment OC curve
make.tte.trt.oc2        Make time to event treatment OC curve v2
normal.gamma            Density function for the Normal-Gamma
                        distribution
ocTable_multi           Single sample binary helper functions
p2beta_diff             Probability for difference of x or more between
                        two beta distributions
p2beta_diff_Vector      Probability for difference of x or more between
                        two beta distributions
pbetabinom_c            Replacement for pbetanimom
pooled.sd               Pooled standard deviation
probmat.func            probmat.func
return.ss.bin.int.req   Return single sample binary predictive
                        probability
return.ss.ng.data.req.df
                        Get single sample normal-gamma interim
                        treatment effect OC data.frame
return.ss.ng.int.data.req
                        Return single sample normal-gamma predictive
                        probability
return.ss.ng.int.req    Return single sample normal-gamma predictive
                        probability
return.ts.bin.int.predprob
                        Return two-sample binary interim predictive
                        probability
return.ts.bin.int.predprob.table
                        Return two-sample binary predictive probability
                        table
return.ts.bin.studyend.GNG.hm.df
                        Return two-sample binary study end GNG heatmap
                        data.frame
return.ts.ng.int.req.df
                        Return two-sample normal-gamma predictive
                        probability
return.ts.ng.studyend.GNG.hm.df
                        Return two-sample normal-gamma study end GNG
                        heatmap data.frame
return.tte.int.data.req
                        Title
return.tte.pp           Return time to event preditive probility
