Package: InferenceSMR 1.0.2
InferenceSMR: Inference About the Standardized Mortality Ratio when Evaluating the Effect of a Screening Program on Survival
Functions to make inference about the standardized mortality ratio (SMR) when evaluating the effect of a screening program. The package is based on methods described in Sasieni (2003) <doi:10.1097/00001648-200301000-00026> and Talbot et al. (2011) <doi:10.1002/sim.4334>.
Authors:
InferenceSMR_1.0.2.tar.gz
InferenceSMR_1.0.2.zip(r-4.7-any)InferenceSMR_1.0.2.zip(r-4.6-any)InferenceSMR_1.0.2.zip(r-4.5-any)
InferenceSMR_1.0.2.tgz(r-4.6-any)InferenceSMR_1.0.2.tgz(r-4.5-any)
InferenceSMR_1.0.2.tar.gz(r-4.7-any)InferenceSMR_1.0.2.tar.gz(r-4.6-any)
InferenceSMR_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
InferenceSMR/json (API)
| # Install 'InferenceSMR' in R: |
| install.packages('InferenceSMR', repos = c('https://detal9.r-universe.dev', 'https://cloud.r-project.org')) |
- screening - A population of size 10,000 for a screening program
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:af72b81d87. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 123 | ||
| source / vignettes | OK | 154 | ||
| linux-release-x86_64 | OK | 126 | ||
| macos-release-arm64 | OK | 80 | ||
| macos-oldrel-arm64 | OK | 124 | ||
| windows-devel | OK | 109 | ||
| windows-release | OK | 79 | ||
| windows-oldrel | OK | 97 | ||
| wasm-release | OK | 99 |
Exports:contribcovarianceest.expDeathfunction1hincidencesinference.SMRvar.expDeath
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Weights calculation | contrib |
| Estimation of the expected number of deaths. | est.expDeath |
| Incidences calculations. | incidences |
| Inference about the standardized mortality ratio (SMR) when evaltuating the effect of a screening program on survival. | inference.SMR |
| A population of size 10,000 for a screening program | screening |
| Variance estimation of the expected number of deaths | var.expDeath |
