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)
The R pacakge reda provides functions for
You can install the released version from CRAN.
The latest version of package is under development at GitHub in branch 'dev'. If it is able to pass the building check by Travis CI, you may consider installing it with the help of remotes by
if (! require(remotes)) install.packages("remotes")remotes::install_github("wenjie2wang/reda", ref = "dev")
The R package reda is free software: You can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version (at your option). See the GNU General Public License for details.
The R package reda is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
simEventData for simulating survival,
recurrent event, and multiple event data from stochastic process point of
mcfDiff.test for comparing two-sample MCFs by
difference estimates over time and the pseudo-score tests.
origin to function
Survr for modeling processes with
different time origins.
Added variance estimates of sample MCF from bootstrap methods.
Updated checking rule of argument
event of function
Survr for modeling
sample MCF of cost in addition to number of events.
Updated Lawless and Nadaeu (1995) variance estimates in method
for sample MCF.
Survr(ID, time, event) ~ 1for modeling baseline rate function using gamma frailty model in function
rateRegwithout specifying any covariate.
baseRatefor estimated baseline rate function instead of the estimated coefficients of spline bases.
confintby specifying the correct standard error column.
Added M-spline for modeling baseline rate to function
check to function
rateReg so that it is possible to skip
the data checking step to slightly speed up the model fitting for cleaned
verbose to argument
control of function
rateReg to suppress
all possible messages.
Added variance estimates for sample MCF by Poisson process method, and
confidence interval based on the asymptotic normality of MCF itself (in
addition to the logarithm of MCF) to function
Allowed multiple categorical variables in function
the sample MCF for design with multiple factors.
Added sample valve-seat dataset from Nelson (1995) for demonstration.
Borrowed the power from R package splines2 for piece-wise constant and splines based baseline rate function, and thus boosted the performance of reda in model fitting.
Updated object class of fitted model,
Replaced generic function
plotMcf with methods for function
Updated data checking procedure for a better performance.
Added variable "gender" in sample simulated dataset,
simuDat for a better
demonstration of sample MCF function.
Renamed all slot named
Boundary.knots for consistency
with spline functions.
Updated vignettes for demonstration of new features.
Added sample citation entry for reda.
Implementation of spline baseline rate function.
Renamed main function name from
rateReg and added new argument.
Updated object class of fitted model.
Replaced sample simulated dataset for demonstration.
Updated S4 method
show.legend in function
geom_text to incorporate updates in package
Minor updates that clear checking note from CRAN.