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reda 0.5.4

CRAN release: 2022-07-08

Minor changes

  • The show() method for Recur class objects prints in the same order as the internally sorted ID’s.
  • Added a new argument named rhoMax to the function simEvent() for users to specify an upper bound of the rate function in case the function cannot determine an appropriate upper bound internally. #7

reda 0.5.3

CRAN release: 2021-04-02

Minor changes

  • Added summary() method for Recur() objects.
  • Added a new slot named time_class to Recur() object.
  • Updated the id slot of Recur() object to unique ID’s.

Bug fixes

  • Fixed empty MCF estimates when adjustRiskset = FALSE is specified.
  • Fixed slot first_idx and last_idx in Recur object.

reda 0.5.2

CRAN release: 2020-07-08

Minor changes

  • Used deriv method from splines2 objects for derivatives instead of extraction of attributions.

reda 0.5.1

CRAN release: 2020-06-27

New features

  • Added a new option variance = "none" to return sample MCF estimates without variance estimates.

Minor changes

  • Removed titles in plot() method for mcf objects for a more minimal output by default.

reda 0.5.0

CRAN release: 2019-11-03

New features

  • Added function Recur() as a successor or function Survr() for model formula response.

  • Added a new package vignette introducing the function Recur().

  • Added a new argument adjustRiskset to the method mcf.formula() for specifying whether to adjust the size of risk set. The cumulative sample mean function estimates will be computed by setting adjustRiskset = FALSE.

  • Added a new option of "CSV" for cumulative sample variance estimates to the argument variance of the method mcf.formula.

Major changes

  • The function Survr is deprecated since this version and will be removed in future.

  • Added implementation of nonparametric MCF estimates in C++ with help of Rcpp and replaced original implementation in R with the new implementation for a better computational performance.

Minor changes

  • Updated testing suite by using tinytest instead of testthat.

Bug fixes

  • Fixed numRisk (the size of risk set) for tied censoring times in mcf.formula objects returned from method mcf.formula. Thank William Anderson (wnilesanderson AT for bug reporting with detailed examples.

reda 0.4.1

CRAN release: 2017-12-19

Bug fixes

  • Fixed compiling errors when using clang.

reda 0.4.0

CRAN release: 2017-12-19

New features

  • Added function simEvent and simEventData for simulating survival, recurrent event, and multiple event data from stochastic process point of view.

  • Added function mcfDiff and mcfDiff.test for comparing two-sample MCFs by difference estimates over time and the pseudo-score tests.

  • Added argument origin to function Survr for modeling processes with different time origins.

  • Added variance estimates of sample MCF from bootstrap methods.

Major changes

  • 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 mcf.formula for sample MCF.

  • Renamed class sampleMcf to mcf.formula, rateRegMcf to mcf.rateReg, baseRateReg to baseRate.rateReg, summaryRateReg to summary.rateReg.

Minor changes

  • Allowed formula Survr(ID, time, event) ~ 1 for modeling baseline rate function using gamma frailty model in function rateReg without specifying any covariate.

Bug fixes

  • Fixed possible label mismatching in plot,mcf.formula (previously plot,sampleMcf) method.

reda 0.3.1

CRAN release: 2016-12-16

New features

  • Added estimated baseline rate function and its confidence band, and corresponding plot method.

Major changes

  • Updated function baseRate for estimated baseline rate function instead of the estimated coefficients of spline bases.

Bug fixes

  • Fixed function confint by specifying the correct standard error column.

reda 0.3.0

CRAN release: 2016-11-26

New features

  • Added M-spline for modeling baseline rate to function rateReg.

  • Added argument check to function rateReg so that it is possible to skip the data checking step to slightly speed up the model fitting for cleaned data.

  • Added option 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 mcf,formula-method.

  • Allowed multiple categorical variables in function mcf,formula-method for the sample MCF for design with multiple factors.

  • Added sample valve-seat dataset from Nelson (1995) for demonstration.

Major changes

  • 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, rateReg.

  • Replaced generic function plotMcf with methods for function plot.

  • Updated data checking procedure for a better performance.

  • Added variable “gender” in sample simulated dataset, simuDat for a better demonstration of sample MCF function.

Minor changes

  • Renamed all slot named boundaryKnots to Boundary.knots for consistency with spline functions.

  • Updated vignettes for demonstration of new features.

  • Added sample citation entry for reda.

reda 0.2.1

CRAN release: 2015-11-28

New features

  • Implementation of spline baseline rate function.

  • Added function AIC and BIC.

Major changes

  • Renamed main function name from heart to rateReg and added new argument.

  • Updated object class of fitted model.

  • Replaced sample simulated dataset for demonstration.

Bug fixes

  • Updated S4 method plotMcf,sampleMcf: Replaced show_guide with show.legend in function geom_text to incorporate updates in package ggplot2 v1.0.1.

  • Minor updates that clear checking note from CRAN.

reda 0.1.0

New features

  • First version of reda mainly providing function to fit gamma frailty model with piece-wise constant baseline rate function for recurrent event data.