Package: reda 0.5.4

reda: Recurrent Event Data Analysis

Contains implementations of recurrent event data analysis routines including (1) survival and recurrent event data simulation from stochastic process point of view by the thinning method proposed by Lewis and Shedler (1979) <doi:10.1002/nav.3800260304> and the inversion method introduced in Cinlar (1975, ISBN:978-0486497976), (2) the mean cumulative function (MCF) estimation by the Nelson-Aalen estimator of the cumulative hazard rate function, (3) two-sample recurrent event responses comparison with the pseudo-score tests proposed by Lawless and Nadeau (1995) <doi:10.2307/1269617>, (4) gamma frailty model with spline rate function following Fu, et al. (2016) <doi:10.1080/10543406.2014.992524>.

Authors:Wenjie Wang [aut, cre], Haoda Fu [aut], Sy Han Chiou [ctb], Jun Yan [ctb]

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reda.pdf |reda.html✨
reda/json (API)
NEWS

# Install 'reda' in R:
install.packages('reda', repos = c('https://wenjie2wang.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/wenjie2wang/reda/issues

Pkgdown site:https://wwenjie.org

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

mcfmean-cumulative-functionrecurrent-eventsurvival-analysiscpp

7.52 score 15 stars 3 packages 55 scripts 519 downloads 1 mentions 22 exports 31 dependencies

Last updated 1 years agofrom:bd3fe73616. Checks:1 OK, 10 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 02 2025
R-4.5-win-x86_64NOTEMar 02 2025
R-4.5-mac-x86_64NOTEMar 02 2025
R-4.5-mac-aarch64NOTEMar 02 2025
R-4.5-linux-x86_64NOTEMar 02 2025
R-4.4-win-x86_64NOTEMar 02 2025
R-4.4-mac-x86_64NOTEMar 02 2025
R-4.4-mac-aarch64NOTEMar 02 2025
R-4.3-win-x86_64NOTEMar 02 2025
R-4.3-mac-x86_64NOTEMar 02 2025
R-4.3-mac-aarch64NOTEMar 02 2025

Exports:%2%%to%AICbaseRateBICcheck_Recurcoefconfintis.RecurmcfmcfDiffmcfDiff.testparametrizeplotrateRegrateReg.controlRecurshowsimEventsimEventDatasummarySurvr

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangscalessplines2tibbleutf8vctrsviridisLitewithr

Introduction to Formula Response Function Recur()

Wenjie Wang

Rendered fromreda-Recur.Rmdusingknitr::rmarkdownon Mar 02 2025.

Last update: 2020-08-15
Started: 2019-10-30

Introduction to reda through Examples

Wenjie Wang

Rendered fromreda-intro.Rmdusingknitr::rmarkdownon Mar 02 2025.

Last update: 2020-03-25
Started: 2015-09-22

Simulate Survival and Recurrent Event Data with reda

Wenjie Wang

Rendered fromreda-simulate.Rmdusingknitr::rmarkdownon Mar 02 2025.

Last update: 2020-03-25
Started: 2017-11-10

Readme and manuals

Help Manual

Help pageTopics
Recurrent Event Data Analysisreda-package
Akaike Information Criterion (AIC)AIC,rateReg-method
Convert An Recur Object to A Character Vectoras.character,Recur-method
Estimated Baseline Rate FunctionbaseRate baseRate,rateReg-method
An S4 Class Representing Estimated Baseline Rate FunctionbaseRate.rateReg-class
Bayesian Information Criterion (BIC)BIC,rateReg-method
Checks for Recurrent Event Datacheck_Recur
Estimated Coefficients of Covariatescoef,rateReg-method
Confidence Intervals for Covariate Coefficientsconfint,rateReg-method
Is the xect from the Recur class?is.Recur
Mean Cumulative Function (MCF)mcf mcf,formula-method mcf,rateReg-method
An S4 Class Representing Sample MCFmcf.formula-class
An S4 Class Respresenting Estimated MCF from a Fitted Modelmcf.rateReg-class
Comparing Two-Sample MCFs-,mcf.formula,mcf.formula-method mcfDiff mcfDiff.test
An S4 Class Representing Sample MCF DifferencemcfDiff-class
An S4 Class Representing the Two-Sample Pseudo-Score Test ResultsmcfDiff.test-class
Parametrizations of Covariates and Covariate Coefficientsparametrize
Plot Baseline Rate or Mean Cumulative Function (MCF)plot,baseRate.rateReg,missing-method plot,baseRate.rateReg-method plot,mcf.formula,missing-method plot,mcf.formula-method plot,mcf.rateReg,missing-method plot,mcf.rateReg-method plot,mcfDiff,missing-method plot,mcfDiff-method plot-method
Recurrent Events Regression Based on Counts and Rate FunctionrateReg rateReg.control
An S4 Class Representing a Fitted ModelrateReg-class
Formula Response for Recurrent Event DataRecur
An S4 Class Representing Formula Response for Recurrent Event DataRecur-class
Recurrent Episodes%2% %to% Recur-to
Show an object.show,mcf.formula-method show,mcf.rateReg-method show,mcfDiff-method show,mcfDiff.test-method show,rateReg-method show,Recur-method show,simEvent-method show,summary.rateReg-method show,summary.Recur-method show,summaryRateReg-method show-method
Simulated Survival times or Recurrent EventssimEvent simEventData
An S4 Class for Simulated Recurrent Event or Survival TimessimEvent-class
Simulated Sample Dataset for DemonstrationsimuDat
Summarizing a Fitted Modelsummary,rateReg-method
Summarize an 'Recur' objectsummary,Recur-method
An S4 Class Representing Summary of a Fitted Modelsummary.rateReg-class
An S4 Class for Summarized Recur Objectsummary.Recur-class
Formula Response for Recurrent Event DataSurvr
An S4 Class Representing Formula ResponseSurvr-class
Valve Seats DatasetvalveSeats