Package: etm 1.1.1

Mark Clements

etm: Empirical Transition Matrix

The etm (empirical transition matrix) package permits to estimate the matrix of transition probabilities for any time-inhomogeneous multi-state model with finite state space using the Aalen-Johansen estimator. Functions for data preparation and for displaying are also included (Allignol et al., 2011 <doi:10.18637/jss.v038.i04>). Functionals of the Aalen-Johansen estimator, e.g., excess length-of-stay in an intermediate state, can also be computed (Allignol et al. 2011 <doi:10.1007/s00180-010-0200-x>).

Authors:Mark Clements [aut, cre], Arthur Allignol [aut]

etm_1.1.1.tar.gz
etm_1.1.1.tar.gz(r-4.5-noble)etm_1.1.1.tar.gz(r-4.4-noble)
etm_1.1.1.tgz(r-4.4-emscripten)etm_1.1.1.tgz(r-4.3-emscripten)
etm.pdf |etm.html✨
etm/json (API)

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

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • abortion - Pregnancies exposed to coumarin derivatives
  • fourD - Placebo data from the 4D study
  • los.data - Length of hospital stay
  • sir.cont - Ventilation status in intensive care unit patients

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6.88 score 11 packages 79 scripts 5.8k downloads 17 mentions 12 exports 6 dependencies

Last updated 4 years agofrom:1c9f4a53ba. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-linux-x86_64OKNov 10 2024

Exports:closclosPseudoetmetmCIFetmprepprepare.los.datatra_comptra_illtra_ill_comptra_survtrcovtrprob

Dependencies:data.tablelatticeMatrixRcppRcppArmadillosurvival

Computing Cumulative Incidence Functions with the etmCIF Function

Rendered frometmCIF_tutorial.Rnwusingutils::Sweaveon Nov 10 2024.

Last update: 2018-07-04
Started: 2013-09-19