Package: ertte 0.1.1

Danielle Navarro

ertte: Exposure-Response Tools for Time-to-Event Models

Provides estimation tools for exposure-response models of time-to-event endpoints based on the 'survival' package: parametric accelerated failure time model fitting and prediction with AIC-based distribution selection, stepwise covariate modelling, and simulation-based visual predictive checks. Tested and supported for the exponential, Weibull, log-normal, and log-logistic distributions. For a model-agnostic mini-language to visualise exposure-response models (including those fitted with 'ertte'), see the companion package 'erplots'.

Authors:Danielle Navarro [aut, cre]

ertte_0.1.1.tar.gz
ertte_0.1.1.zip(r-4.7-any)ertte_0.1.1.zip(r-4.6-any)
ertte_0.1.1.tar.gz(r-4.7-any)ertte_0.1.1.tar.gz(r-4.6-any)
ertte_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ertte/json (API)

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

Bug tracker:https://github.com/djnavarro/ertte/issues

Pkgdown/docs site:https://ertte.djnavarro.net

Datasets:
  • ertte_data - Sample simulated data for exposure-response time-to-event models

On CRAN:

Conda:

1.70 score 8 scripts 14 exports 19 dependencies

Last updated from:61075d1d8c. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK149
source / vignettesOK191
linux-releaseOK155
windows-develOK152
windows-releaseOK157
wasm-releaseOK94

Exports:ertte_add_termertte_aftertte_aft_select_distributionertte_coxphertte_funertte_landmarkertte_powerertte_predictertte_remove_termertte_rmstertte_scm_backwardertte_scm_forwardertte_scm_historySurv

Dependencies:clidplyrgenericsgluelatticelifecyclemagrittrMatrixmvtnormpillarpkgconfigR6rlangsurvivaltibbletidyselectutf8vctrswithr