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-4.4-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:

3.30 score 2 stars 104 downloads 1 exports 21 dependencies

Last updated 10 months agofrom:ab4635422d. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 04 2024
R-4.5-win	OK	Nov 04 2024
R-4.5-linux	OK	Nov 04 2024
R-4.4-win	OK	Nov 04 2024
R-4.4-mac	OK	Nov 04 2024
R-4.3-win	OK	Nov 04 2024
R-4.3-mac	OK	Nov 04 2024

Exports:mtvc

Dependencies:cli cpp11 dplyr fansi generics glue lifecycle magrittr pillar pkgconfig purrr R6 rlang stringi stringr tibble tidyr tidyselect utf8 vctrs withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
(mtvc) Multiple Time Varying Covariates	mtvc
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.	simwide

Help page

Topics

(mtvc) Multiple Time Varying Covariates

mtvc

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.

simwide