Package: reReg 1.4.7

reReg: Recurrent Event Regression

A comprehensive collection of practical and easy-to-use tools for regression analysis of recurrent events, with or without the presence of a (possibly) informative terminal event described in Chiou et al. (2023) <doi:10.18637/jss.v105.i05>. The modeling framework is based on a joint frailty scale-change model, that includes models described in Wang et al. (2001) <doi:10.1198/016214501753209031>, Huang and Wang (2004) <doi:10.1198/016214504000001033>, Xu et al. (2017) <doi:10.1080/01621459.2016.1173557>, and Xu et al. (2019) <doi:10.5705/SS.202018.0224> as special cases. The implemented estimating procedure does not require any parametric assumption on the frailty distribution. The package also allows the users to specify different model forms for both the recurrent event process and the terminal event.

Authors:Sy Han Chiou [aut, cre], Chiung-Yu Huang [aut]

reReg_1.4.7.tar.gz
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reReg.pdf |reReg.html
reReg/json (API)
NEWS

# Install 'reReg' in R:
install.packages('reReg', repos = c('https://stc04003.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/stc04003/rereg/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • simDat - Simulated dataset for demonstration

On CRAN:

Conda:

openblascpp

5.47 score 23 stars 1 packages 43 scripts 498 downloads 17 exports 39 dependencies

Last updated from:07f9b226d9. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK184
linux-devel-x86_64OK157
source / vignettesOK186
linux-release-arm64OK180
linux-release-x86_64OK153
macos-release-arm64OK124
macos-release-x86_64OK301
macos-oldrel-arm64OK128
macos-oldrel-x86_64OK252
windows-develOK257
windows-releaseOK184
windows-oldrelOK181
wasm-releaseOK123

Exports:%2%%to%basebindcheck_Recuris.RecurmcfplotplotEventsplotEvents.controlplotHazplotRateRecurreRegreReg.controlreSurvsimGSCsummary

Dependencies:BBclicpp11dfoptimdirectlabelsfarverggplot2gluegtableisobandlabelinglatticelifecycleMASSMatrixmgcvnleqslvnlmenloptrnumDerivoptimxpracmaquadprogR6RColorBrewerRcppRcppArmadilloredarlangrootSolveS7scalesscamsplines2SQUAREMsurvivalvctrsviridisLitewithr