Tools for Go/No-Go Decision-Making Framework


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Documentation for package ‘GNGTools’ version 1.0.0

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A C D F G I L M N O P Q R S

-- A --

appel.hypgeom Sverdlov's functions

-- C --

ci2beta Sverdlov's functions

-- D --

d2beta Sverdlov's functions
dbeta.rp Reparameterized Beta distribution functions
df_to_clip Copy a data.frame to the clipboard
dgamma.rp Reparameterized Gamma distribution functions
Discord_Go Discord_Go
Discord_Grey Discord_Grey
Discord_NoGo Discord_NoGo
dnorgam Density function for the Normal-Gamma distribution
dnorm.rp Reparameterized normal functions
dt_ls Location-scale t distribution functions

-- F --

f Sverdlov's functions

-- G --

g Sverdlov's functions
gauss.hypgeom Sverdlov's functions
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.df Get single sample binary interim data.frame
get.ss.bin.int.GNG Get single sample binary interim Go-NoGo
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

-- I --

interim.calculator interim.calculator
Intr_func Intr_func

-- L --

list_to_dataframe List to data frame from plyr
Location.scale.t Location-scale t distribution functions

-- M --

make.ss.bin.int.dec.GridPlot Make single sample binary interim decision grid
make.ss.bin.int.GStable Make single sample binary interim Group-sequential style table
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.criteria Create lookup table for study-end
make.ts.ng.studyend.GNG.hm Make two-sample normal-gamma studyend GNG Heatmap
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

-- N --

normal.gamma Density function for the Normal-Gamma distribution

-- O --

ocTable_multi Single sample binary helper functions

-- P --

p2beta Sverdlov's 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
pbeta.rp Reparameterized Beta distribution functions
pbetabinom_c Replacement for pbetanimom
pgamma.rp Reparameterized Gamma distribution functions
pnorm.rp Reparameterized normal functions
pooled.sd Pooled standard deviation
probmat.func probmat.func
pt_ls Location-scale t distribution functions

-- Q --

q2beta Sverdlov's functions
qbeta.rp Reparameterized Beta distribution functions
qgamma.rp Reparameterized Gamma distribution functions
qnorm.rp Reparameterized normal functions
qt_ls Location-scale t distribution functions

-- R --

r2beta Sverdlov's functions
Reparameterized.beta Reparameterized Beta distribution functions
Reparameterized.gamma Reparameterized Gamma distribution functions
Reparameterized.normal Reparameterized normal functions
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
rgamma.rp Reparameterized Gamma distribution functions
rnorm.rp Reparameterized normal functions
rnormgam Density function for the Normal-Gamma distribution
root Sverdlov's functions
rt_ls Location-scale t distribution functions

-- S --

SverdlovFunction Sverdlov's functions