Introduction | Example - The regional lockdown | Time invariant confounder | Time varying confounder | Parametric approach and constant association | Nonparametric approach and constant association | Time varying associations | Comparison of the confounder trajectories
Package: LongitudinalEvalue 0.1.0
LongitudinalEvalue: Sensitivity Analysis for Unmeasured Confounding in Longitudinal Studies
Evaluates the sensitivity of a given association to unmeasured confounding. The package consists of three functions. The first starts a 'shiny' app which assesses how strong a time-invariant confounder needs to be associated with the exposure and outcome to explain away a proposed causal association. The second and third functions simulate a time-dependent confounder over time either using a fit from the qmle() function from the 'yuima' package or directly using the observed effect estimate.
Authors:
LongitudinalEvalue_0.1.0.tar.gz
LongitudinalEvalue_0.1.0.zip(r-4.7-any)LongitudinalEvalue_0.1.0.zip(r-4.6-any)LongitudinalEvalue_0.1.0.zip(r-4.5-any)
LongitudinalEvalue_0.1.0.tgz(r-4.6-any)LongitudinalEvalue_0.1.0.tgz(r-4.5-any)
LongitudinalEvalue_0.1.0.tar.gz(r-4.7-any)LongitudinalEvalue_0.1.0.tar.gz(r-4.6-any)
LongitudinalEvalue_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
LongitudinalEvalue/json (API)
| # Install 'LongitudinalEvalue' in R: |
| install.packages('LongitudinalEvalue', repos = c('https://andreaskristianpedersen.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- Covidexample - COVID example dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:7664df6dd1. Checks:7 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | WARNING | 175 | ||
| source / vignettes | OK | 190 | ||
| linux-release | WARNING | 162 | ||
| macos-release | WARNING | 186 | ||
| macos-oldrel | WARNING | 261 | ||
| windows-devel | WARNING | 110 | ||
| windows-release | WARNING | 116 | ||
| windows-oldrel | WARNING | 110 | ||
| wasm-release | OK | 144 |
Exports:LongitudinalEvalueAppplotSDEconfounderNonparametricSDEconfounderYuima1d
Dependencies:bootcalculusclicodacpp11crscubatureexpmfarverggplot2glassoFastgluegtableisobandlabelinglatticelifecycleMASSMatrixMatrixModelsmatrixStatsmvtnormnpquadprogquantregR6RColorBrewerRcppRcppArmadillorlangS7scalesSparseMstatmodsurvivalvctrsviridisLitewithryuimazoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| COVID example dataset | Covidexample |
| Sensitivity analysis for unmeasured time-invariant confounders | LongitudinalEvalueApp |
| Plot method for SDEconfounderNonparametric | plot,SDEconfounderResult,ANY-method |
| Plot method for SDEconfounderYuima1d | plot,SDEconfounderResultYuima,ANY-method |
| Simulating a time-varying confounder (non-parametric approach) | SDEconfounderNonparametric |
| S4 class for SDEconfounderResult used by SDEconfounderNonparametric | SDEconfounderResult-class |
| S4 class for SDEconfounderResultYuima used by SDEconfounderYuima1d | SDEconfounderResultYuima-class |
| Simulating time-varying confounder parametrically | SDEconfounderYuima1d |