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-4.7)mtvc_1.1.0.zip(r-4.6)mtvc_1.1.0.zip(r-4.5)
mtvc_1.1.0.tgz(r-4.6-any)mtvc_1.1.0.tgz(r-4.5-any)
mtvc_1.1.0.tar.gz(r-4.7-any)mtvc_1.1.0.tar.gz(r-4.6-any)
mtvc_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mtvc/json (API)

# 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:

3.18 score 3 stars 183 downloads 1 exports 20 dependencies

Last updated from:ab4635422d. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	120
source / vignettes	OK	146
linux-release-x86_64	OK	115
macos-release-arm64	OK	120
macos-oldrel-arm64	OK	128
windows-devel	OK	77
windows-release	OK	78
windows-oldrel	OK	72
wasm-release	OK	104

Exports:mtvc

Dependencies:cli cpp11 dplyr 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