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
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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'))

Peer review:

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:

1 exports 2 stars 1.01 score 21 dependencies 104 downloads

Last updated 7 months agofrom:ab4635422d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-winOKSep 05 2024
R-4.5-linuxOKSep 05 2024
R-4.4-winOKSep 05 2024
R-4.4-macOKSep 05 2024
R-4.3-winOKSep 05 2024
R-4.3-macOKSep 05 2024

Exports:mtvc

Dependencies:clicpp11dplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr