Package: mtvc 1.1.0

mtvc: Multiple Counting Process Structure for Survival Analysis

Counting process structure is fundamental to model time varying covariates. This package restructures dataframes in the counting process format for one or more variables. F. W. Dekker, et al. (2008) <doi:10.1038/ki.2008.328>.

Authors:Elia Gonzato [aut, cre, cph]

mtvc_1.1.0.tar.gz
mtvc_1.1.0.zip(r-4.5)mtvc_1.1.0.zip(r-4.4)mtvc_1.1.0.zip(r-4.3)
mtvc_1.1.0.tgz(r-4.5-any)mtvc_1.1.0.tgz(r-4.4-any)mtvc_1.1.0.tgz(r-4.3-any)
mtvc_1.1.0.tar.gz(r-4.5-noble)mtvc_1.1.0.tar.gz(r-4.4-noble)
mtvc_1.1.0.tgz(r-4.4-emscripten)mtvc_1.1.0.tgz(r-4.3-emscripten)
mtvc.pdf |mtvc.html
mtvc/json (API)
NEWS

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

Bug tracker:https://github.com/egonzato/mtvc/issues

Datasets:
  • simwide - This data frame contains variables that are time varying, which might change at a specific time point. In particular, are referred to Graft Versus Host Disease, both Acute and Chronic, and relapse, which is the recurrence of the disease. In addition, this data frame contains specific dates, that refer to the first and last visit of the patient, and the respective dates of each time varying covariate, day from which that variable will change its value.

On CRAN:

Conda:

3.18 score 3 stars 108 downloads 1 exports 21 dependencies

Last updated 1 years agofrom:ab4635422d. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 03 2025
R-4.5-winOKApr 03 2025
R-4.5-macOKApr 03 2025
R-4.5-linuxOKApr 03 2025
R-4.4-winOKApr 03 2025
R-4.4-macOKApr 03 2025
R-4.4-linuxOKApr 03 2025
R-4.3-winOKApr 03 2025
R-4.3-macOKApr 03 2025

Exports:mtvc

Dependencies:clicpp11dplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr