Package: newTestSurvRec 1.0.2

Carlos Martinez

newTestSurvRec: Statistical Tests to Compare Curves with Recurrent Events

Implements the routines to compare the survival curves with recurrent events, including the estimations of survival curves. The first model is a model for recurrent event, when the data are correlated or not correlated. It was proposed by Wang and Chang (1999) <doi:10.2307/2669690>. In the independent case, the survival function can be estimated by the generalization of the limit product model of Pena (2001) <doi:10.1198/016214501753381922>.

Authors:Dr Carlos Miguel Martinez Manrique

newTestSurvRec_1.0.2.tar.gz
newTestSurvRec_1.0.2.tar.gz(r-4.5-noble)newTestSurvRec_1.0.2.tar.gz(r-4.4-noble)
newTestSurvRec_1.0.2.tgz(r-4.4-emscripten)newTestSurvRec_1.0.2.tgz(r-4.3-emscripten)
newTestSurvRec.pdf |newTestSurvRec.html✨
newTestSurvRec/json (API)

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

Peer review:

Datasets:
  • DataColonDukesABvsC - Re-hospitalization of patients with colorectal cancer
  • DataColonDukesABvsD - Re-hospitalization of patients with colorectal cancer
  • DataColonDukesCvsD - Rehospitalization of patients with colorectal cancer
  • MMC.TestSurvRec - Migratory Motor Complex
  • TBCplapyr - Data in patients with bladder cancer treated with placebo or pyridoxine
  • TBCplathi - Data in patients with bladder cancer treated as placebo or thiotepa
  • TBCpyrthi - Data in patients with bladder cancers and treated with pyridoxine or thiotepa

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.36 score 23 scripts 98 downloads 13 exports 0 dependencies

Last updated 7 years agofrom:5eb6681385. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-linuxOKNov 04 2024

Exports:Dif.Surv.Recfit.Data.SurvrecuFitSurvRecis.SurvrecuPlot.Cusum.EventsPlot.Data.EventsPlot.Event.RecPlot.Surv.RecPrint.SummaryPSH.fitQsearch.FractilSurvrecuWC.fit

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
package newTestSurvRecnewTestSurvRec-package newTestSurvRec
Re-hospitalization of patients with colorectal cancerDataColonDukesABvsC
Re-hospitalization of patients with colorectal cancerDataColonDukesABvsD
Rehospitalization of patients with colorectal cancerDataColonDukesCvsD
This function computes statistical difference between two survival curvesDif.Surv.Rec
This function let to adjust the IDs the databasefit.Data.Survrecu
Compute a Survival Curve for Recurrent Event Data given a variable of groupFitSurvRec
This function verify if the formula type of survival recurrent is object type newTestSurvRecis.Survrecu
Migratory Motor ComplexMMC.TestSurvRec
Plot data with recurrent eventsPlot.Cusum.Events
Plot data with recurrent eventsPlot.Data.Events
This function plots the ocurrence of a event in two scales timePlot.Event.Rec
Plots of thesurvival function from an object with class newTestSurvRec, using PHS or WC modelsPlot.Surv.Rec
Function to print summary of statistics tests to comparison of the survival curves of the groups with recurrent eventsPrint.Summary
Estimator of the survival curve using the estimator developed by Pena, Strawderman and HollanderPSH.fit
Calculate the survival time to a selected quantileQsearch.Fractil
Create a Survival recurrent object type newTestSurvRecSurvrecu
Data in patients with bladder cancer treated with placebo or pyridoxineTBCplapyr
Data in patients with bladder cancer treated as placebo or thiotepaTBCplathi
Data in patients with bladder cancers and treated with pyridoxine or thiotepaTBCpyrthi
Survival function estimator for recurrence time data using the estimator developed by Wang and ChangWC.fit