MapGAM: Mapping Smoothed Odds Ratios from Individual-Level Data

Contains functions for mapping risk surfaces using individual-level data such as case-control study data, using generalized additive models (GAMs) to smooth over two-dimensional location while adjusting for any confounding variables. Includes convenient functions for mapping and permutation tests for the null hypothesis that spatial location is not associated with risk (adjusting for confounders).

Version: 0.6-2
Depends: R (≥ 2.10.0), gam, maptools
Suggests: maps, mapproj, PBSmapping
Published: 2013-03-11
Author: Veronica Vieira, Scott Bartell, and Robin Bliss
Maintainer: Scott Bartell <sbartell at uci.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: MapGAM results

Downloads:

Package source: MapGAM_0.6-2.tar.gz
MacOS X binary: MapGAM_0.6-2.tgz
Windows binary: MapGAM_0.6-2.zip
Reference manual: MapGAM.pdf
News/ChangeLog:ChangeLog
Old sources: MapGAM archive