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MapGAM  

Mapping Smoothed Effect Estimates from Individual-Level Data
View on CRAN: Click here


Download and install MapGAM package within the R console
Install from CRAN:
install.packages("MapGAM")

Install from Github:
library("remotes")
install_github("cran/MapGAM")

Install by package version:
library("remotes")
install_version("MapGAM", "1.3-1")



Attach the package and use:
library("MapGAM")
Maintained by
Scott Bartell
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-12-18
Latest Update: 2025-09-03
Description:
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).
How to cite:
Scott Bartell (2012). MapGAM: Mapping Smoothed Effect Estimates from Individual-Level Data. R package version 1.3-1, https://cran.r-project.org/web/packages/MapGAM. Accessed 29 Sep. 2026.
Previous versions and publish date:
0.6-1 (2012-12-24 07:12), 0.6-2 (2013-03-11 11:44), 0.6 (2012-12-18 14:46), 0.7-0 (2013-12-13 00:20), 0.7-4 (2014-12-10 10:14), 0.7-5 (2015-05-03 07:07), 1.0 (2016-09-03 16:39), 1.1 (2018-04-10 05:16), 1.2-4 (2019-01-22 06:50), 1.2-5 (2019-07-27 23:00), 1.2-6 (2022-05-26 00:00), 1.2 (2018-07-25 06:50), 1.3-1 (2025-09-03 11:50), 1.3 (2023-07-15 13:00), (2026-09-13 08:59)
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Complete documentation for MapGAM
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