Contains functions for mapping odds ratios, hazard ratios, or other effect estimates using individuallevel data such as casecontrol study data, using generalized additive models (GAMs) or Cox models for smoothing with a twodimensional 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. (submitted). Includes convenient functions for mapping point estimates and confidence intervals, efficient control sampling, and permutation tests for the null hypothesis that the twodimensional predictor is not associated with the outcome variable (adjusting for confounders).
Package details 


Author  Lu Bai, Scott Bartell, Robin Bliss, and Veronica Vieira 
Date of publication  20160903 16:39:06 
Maintainer  Scott Bartell <[email protected]> 
License  GPL3 
Version  1.0 
Package repository  View on CRAN 
Installation 
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