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gestate  

Generalised Survival Trial Assessment Tool Environment
View on CRAN: Click here


Download and install gestate package within the R console
Install from CRAN:
install.packages("gestate")

Install from Github:
library("remotes")
install_github("cran/gestate")

Install by package version:
library("remotes")
install_version("gestate", "1.6.0")



Attach the package and use:
library("gestate")
Maintained by
James Bell
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-26
Latest Update: 2023-04-26
Description:
Provides tools to assist planning and monitoring of time-to-event trials under complicated censoring assumptions and/or non-proportional hazards. There are three main components: The first is analytic calculation of predicted time-to-event trial properties, providing estimates of expected hazard ratio, event numbers and power under different analysis methods. The second is simulation, allowing stochastic estimation of these same properties. Thirdly, it provides parametric event prediction using blinded trial data, including creation of prediction intervals. Methods are based upon numerical integration and a flexible object-orientated structure for defining event, censoring and recruitment distributions (Curves).
How to cite:
James Bell (2019). gestate: Generalised Survival Trial Assessment Tool Environment. R package version 1.6.0, https://cran.r-project.org/web/packages/gestate. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:42), 1.3.2 (2019-04-26 10:20), 1.4.0 (2020-02-20 11:10), 1.5.0 (2021-11-24 12:20)
Other packages that cited gestate R package
View gestate citation profile
Other R packages that gestate depends, imports, suggests or enhances
Complete documentation for gestate
Functions, R codes and Examples using the gestate R package
Some associated functions: Blank . Curve-class . Exponential . GGamma . Gompertz . InstantR . LinearR . LogLogistic . Lognormal . MixExp . MixWei . PieceExponential . PieceR . PieceRMaxF . RCurve-class . Weibull . ZV2power . analyse_sim . createRFfunction-Curve-method . createRFfunction . create_tte_prior . evaluateCDFfunction-Curve-method . evaluateCDFfunction . evaluateInvfunction-Curve-method . evaluateInvfunction . evaluatePDFfunction-Curve-method . evaluatePDFfunction . event_prediction . event_prediction_KM . event_prediction_prior . events2power . fit_KM . fit_tte_data . fit_tte_data_prior . freedmanpower . frontierpower . getAssessCDFfunction-RCurve-method . getAssessCDFfunction . getCDFfunction-Curve-method . getCDFfunction . getInvfunction-Curve-method . getInvfunction . getLength-RCurve-method . getLength . getMaxF-RCurve-method . getMaxF . getN-RCurve-method . getN . getNactive-RCurve-method . getNactive . getNames-Curve-method . getNames . getNcontrol-RCurve-method . getNcontrol . getPDFfunction-Curve-method . getPDFfunction . getParam-Curve-method . getParam . getParams-Curve-method . getParams . getParamsV-Curve-method . getParamsV . getPatients-RCurve-method . getPatients . getRFfunction-Curve-method . getRFfunction . getRatio-RCurve-method . getRatio . getType-Curve-method . getType . nph_traj . plotCDF-Curve-method . plotCDF . plotRecruitment-RCurve-method . plotRecruitment . plotSF-Curve-method . plotSF . plot_ep . plot_km_fit . plot_npht . power2events . random_draw-Curve-method . random_draw . run_gestate . setPatients-RCurve-method . setPatients . set_assess_time . set_event_number . show-Curve-method . show-RCurve-method . simulate_trials . simulate_trials_strata . summarise_analysis . survfit_fast . 
Some associated R codes: argument_checks.R . composite_functions.R . curve_constructors.R . deprecated.R . distribution_functions.R . event_prediction.R . nph_traj.R . plotting.R . power_functions.R . run_shiny.R . s4_architecture.R . simulation_functions.R .  Full gestate package functions and examples
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