R: Generalised Survival Trial Assessment Tool Environment

# Generalised Survival Trial Assessment Tool Environment

## Documentation for package ‘gestate’ version 1.6.0

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

analyse_sim | Analyse simulations of time-to-event data using arbitrary event, censoring and recruitment distributions.
Blank | Blank Curve constructor function
createRFfunction | Method for creating a random draw function from a Curve object
createRFfunction-method | Method for creating a random draw function from a Curve object
create_tte_prior | Create an arbitrary prior data set from a specified Curve object
Curve-class | Curve Class for defining distributions
evaluateCDFfunction | Method for evaluating the CDF function for a Curve object at q
evaluateCDFfunction-method | Method for evaluating the CDF function for a Curve object at q
evaluateInvfunction | Method for evaluating the inverse-CDF function for a Curve object at p
evaluateInvfunction-method | Method for evaluating the inverse-CDF function for a Curve object at p
evaluatePDFfunction | Method for evaluating the PDF function for a Curve object at x
evaluatePDFfunction-method | Method for evaluating the PDF function for a Curve object at x
event_prediction | Event prediction using patient-level survival data and a recruitment RCurve
event_prediction_KM | Event prediction using a lifetable and a recruitment RCurve
event_prediction_prior | Event prediction using patient-level survival data, prior data and a recruitment RCurve
Exponential | Exponential Curve constructor function
fit_KM | Fit Weibull, Log-Normal or Exponential survival curves to Kaplan Meier estimates
fit_tte_data | Fit Weibull, Log-Normal or Exponential survival curves to patient-level time-to-event data
fit_tte_data_prior | Fit Weibull survival curves to patient-level time-to-event data by including patient-level weighted prior data
frontierpower | Calculate Frontier power from number of events
getAssessCDFfunction | Method for returning the CDF function for a RCurve object
getAssessCDFfunction-method | Method for returning the CDF function for a RCurve object
getCDFfunction | Method for returning the CDF function for a Curve object
getCDFfunction-method | Method for returning the CDF function for a Curve object
getInvfunction | Method for returning the inverse-CDF function for a Curve object
getInvfunction-method | Method for returning the inverse-CDF function for a Curve object
getLength | Method for returning the recruitment length from a RCurve
getLength-method | Method for returning the recruitment length from a RCurve
getMaxF | Method for returning maximum duration of patient follow-up from a RCurve
getMaxF-method | Method for returning maximum duration of patient follow-up from a RCurve
getN | Method for returning the total patient number from a RCurve
getN-method | Method for returning the total patient number from a RCurve
getNactive | Method for returning the active arm patient number from a RCurve
getNactive-method | Method for returning the active arm patient number from a RCurve
getNames | Method for returning all parameter names from a Curve object
getNames-method | Method for returning all parameter names from a Curve object
getNcontrol | Method for returning the control arm patient number from a RCurve
getNcontrol-method | Method for returning the control arm patient number from a RCurve
getParam | Method for returning a single parameter from a Curve object
getParam-method | Method for returning a single parameter from a Curve object
getParams | Method for returning all parameters from a Curve object as a list
getParams-method | Method for returning all parameters from a Curve object as a list
getParamsV | Method for returning all parameters from a Curve object as a vector
getParamsV-method | Method for returning all parameters from a Curve object as a vector
getPatients | Method for calculating expected number of recruited patients at a given time from an RCurve
getPatients-method | Method for calculating expected number of recruited patients at a given time from an RCurve
getPDFfunction | Method for returning the PDF function for a Curve object
getPDFfunction-method | Method for returning the PDF function for a Curve object
getRatio | Method for returning the recruitment ratio from a RCurve
getRatio-method | Method for returning the recruitment ratio from a RCurve
getRFfunction | Method for returning the RF function for a Curve object
getRFfunction-method | Method for returning the RF function for a Curve object
getType | Method for returning the Curve type
getType-method | Method for returning the Curve type
GGamma | Generalised Gamma Curve constructor function
Gompertz | Gompertz Curve constructor function
InstantR | InstantR RCurve constructor function
LinearR | LinearR RCurve constructor function
LogLogistic | Log-logistic Curve constructor function
Lognormal | Log-normal Curve constructor function
MixExp | Mixture Exponential Curve constructor function
MixWei | Mixture Weibull Curve constructor function
nph_traj | Calculate analytic time-to-event trial properties under non-proportional hazards and complex assumptions
PieceExponential | Piecewise Exponential Curve constructor function
PieceR | PieceR RCurve constructor function
PieceRMaxF | PieceR RCurve constructor function
plotCDF | Method for plotting the CDF of a Curve object
plotCDF-method | Method for plotting the CDF of a Curve object
plotRecruitment | Method for plotting the Recruitment Function of a RCurve object
plotRecruitment-method | Method for plotting the Recruitment Function of a RCurve object
plotSF | Method for plotting the Survival Function of a Curve object
plotSF-method | Method for plotting the Survival Function of a Curve object
plot_ep | Plot event prediction output
plot_km_fit | Kaplan Meier Plot of Curve-Fit
plot_npht | Plot output from nph_traj
random_draw | Method for taking random draws from a Curve object distribution
random_draw-method | Method for taking random draws from a Curve object distribution
RCurve-class | RCurve Class for defining recruitment distributions
run_gestate | Load Shiny for Gestate Loads the Shiny interactive GUI for gestate
setPatients | Method for setting N's in an RCurve
setPatients-method | Method for setting N's in an RCurve
set_assess_time | Adjusts assessment time for simulations
set_event_number | Adjusts simulations so that administrative censoring occurs at a fixed event number, rather than a fixed time
show-method | Method for displaying Curve objects neatly - replaces standard show method
show-method | Method for displaying RCurve objects neatly - replaces standard show method
simulate_trials | Perform simulations of time-to-event data using arbitrary event, censoring and recruitment distributions.
simulate_trials_strata | Perform multi-strata simulations of time-to-event data using arbitrary event, censoring and recruitment distributions.
summarise_analysis | Summarise analyses of simulations of time-to-event data using arbitrary event, censoring and recruitment distributions.
survfit_fast | Create lifetable quickly
Weibull | Weibull Curve constructor function