ameras: Analyze Multiple Exposure Realizations in Association Studies
Analyze association studies with multiple realizations of a noisy or uncertain exposure. These can be obtained from e.g. a two-dimensional Monte Carlo dosimetry system (Simon et al 2015 <doi:10.1667/RR13729.1>) to characterize exposure uncertainty. The implemented methods are regression calibration (Carroll et al. 2006 <doi:10.1201/9781420010138>), extended regression calibration (Little et al. 2023 <doi:10.1038/s41598-023-42283-y>), Monte Carlo maximum likelihood (Stayner et al. 2007 <doi:10.1667/RR0677.1>), frequentist model averaging (Kwon et al. 2023 <doi:10.1371/journal.pone.0290498>), and Bayesian model averaging (Kwon et al. 2016 <doi:10.1002/sim.6635>). Supported model families are Gaussian, binomial, multinomial, Poisson, proportional hazards, and conditional logistic.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.5.0), stats, nimble |
| Imports: | Rcpp (≥ 1.0.10), RcppEigen, coda, numDeriv, MCMCvis, mvtnorm, memoise, methods |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0), ggplot2 |
| Published: | 2026-03-29 |
| DOI: | 10.32614/CRAN.package.ameras (may not be active yet) |
| Author: | Sander Roberti 
[aut, cre],
William Wheeler [aut],
Deukwoo Kwon
[aut],
Ruth Pfeiffer
[ctb],
NCI [cph, fnd] |
| Maintainer: | Sander Roberti <sander.roberti at nih.gov> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Materials: | README, NEWS |
| CRAN checks: | ameras results |
Documentation:
| Reference manual: | ameras.html , ameras.pdf |
| Vignettes: |
Confidence intervals (source, R code) Fitting models and displaying output (source, R code) Relative risk models (source, R code) Parameter transformations (source, R code) |
Downloads:
| Package source: | ameras_0.1.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=ameras to link to this page.