Package: marginme 0.1.1
Sam Watson
marginme: Estimation of Relative Risks, Risk Differences, and Marginal Effects from Mixed Models Using Marginal Standardization
Estimation of relative risks, risk differences, and partial effects from mixed model. Marginalisation over random effect terms is accomplished using Markov Chain Monte Carlo.
Authors:
marginme_0.1.1.tar.gz
marginme_0.1.1.tar.gz(r-4.7-any)marginme_0.1.1.tar.gz(r-4.6-any)
marginme_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
marginme/json (API)
| # Install 'marginme' in R: |
| install.packages('marginme', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/samuel-watson/marginme/issues
Datasets:
- trial_data - Simulated trial data
Last updated from:ba183f0e5d. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 147 | ||
| source / vignettes | OK | 208 | ||
| linux-release-x86_64 | OK | 149 | ||
| wasm-release | OK | 126 |
Exports:glmm_marginalmargin
Dependencies:BHglmmrBaselatticeMatrixR6RcppRcppEigenRcppParallel
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Confidence interval for marginal effect | confint.margin |
| Marginal effect from a binomial-logit or Poisson-log GLMM | glmm_marginal |
| Estimates Relative Risks, Risk Differences, and Marginal Effects from Mixed Models | margin |
| Prints the marginal output | print.margin |
| Summarises the marginal output | summary.margin |
| Simulated trial data | trial_data |
