Recurrent Event Data Analysis
Akaike Information Criterion (AIC)
Convert An Recur Object to A Character Vector
An S4 Class Representing Estimated Baseline Rate Function
Estimated Baseline Rate Function
Bayesian Information Criterion (BIC)
Checks for Recurrent Event Data
Estimated Coefficients of Covariates
Confidence Intervals for Covariate Coefficients
Is the xect from the Recur class?
An S4 Class Representing Sample MCF
An S4 Class Respresenting Estimated MCF from a Fitted Model
Mean Cumulative Function (MCF)
An S4 Class Representing Sample MCF Difference
Comparing Two-Sample MCFs
An S4 Class Representing the Two-Sample Pseudo-Score Test Results
Parametrizations of Covariates and Covariate Coefficients
Plot Baseline Rate or Mean Cumulative Function (MCF)
An S4 Class Representing a Fitted Model
Recurrent Events Regression Based on Counts and Rate Function
An S4 Class Representing Formula Response for Recurrent Event Data
Recurrent Episodes
Formula Response for Recurrent Event Data
Recurrent Event Data Analysis
Show an object.
An S4 Class for Simulated Recurrent Event or Survival Times
Simulated Survival times or Recurrent Events
Summarizing a Fitted Model
Summarize an Recur object
An S4 Class Representing Summary of a Fitted Model
An S4 Class for Summarized Recur Object
An S4 Class Representing Formula Response
Formula Response for Recurrent Event Data
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>.
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