# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "MapGAM" in publications use:' type: software license: GPL-3.0-only title: 'MapGAM: Mapping Smoothed Effect Estimates from Individual-Level Data' version: 1.3-1 doi: 10.32614/CRAN.package.MapGAM abstract: Contains functions for mapping odds ratios, hazard ratios, or other effect estimates using individual-level data such as case-control study data, using generalized additive models (GAMs) or Cox models for smoothing with a two-dimensional predictor (e.g., geolocation or exposure to chemical mixtures) while adjusting linearly for confounding variables, using methods described by Kelsall and Diggle (1998), Webster at al. (2006), and Bai et al. (2020). Includes convenient functions for mapping point estimates and confidence intervals, efficient control sampling, and permutation tests for the null hypothesis that the two-dimensional predictor is not associated with the outcome variable (adjusting for confounders). authors: - family-names: Bai given-names: Lu - family-names: Bartell given-names: Scott email: sbartell@uci.edu orcid: https://orcid.org/0000-0001-7797-2906 - family-names: Bliss given-names: Robin - family-names: Vieira given-names: Veronica repository: https://cranhaven.r-universe.dev commit: ab4d3342ea9c562d8b488b92c6c904253181ac32 date-released: '2025-08-03' contact: - family-names: Bartell given-names: Scott email: sbartell@uci.edu orcid: https://orcid.org/0000-0001-7797-2906