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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | LongitudinalEvalue_0.1.0.tar.gz |
521.2 KiB |
0.1.0 |
rolling linux/noble R-4.5 | LongitudinalEvalue_0.1.0.tar.gz |
521.1 KiB |
0.1.0 |
rolling source/ R- | LongitudinalEvalue_0.1.0.tar.gz |
641.6 KiB |
0.1.0 |
latest linux/jammy R-4.5 | LongitudinalEvalue_0.1.0.tar.gz |
521.2 KiB |
0.1.0 |
latest linux/noble R-4.5 | LongitudinalEvalue_0.1.0.tar.gz |
521.1 KiB |
0.1.0 |
latest source/ R- | LongitudinalEvalue_0.1.0.tar.gz |
641.6 KiB |
0.1.0 |
2026-04-23 source/ R- | LongitudinalEvalue_0.1.0.tar.gz |
0 B |