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MapGAM (version 0.6-2)

Mapping Smoothed Odds Ratios from Individual-Level Data

Description

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).

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Version

Install

install.packages('MapGAM')

Monthly Downloads

337

Version

0.6-2

License

GPL-3

Maintainer

Scott Bartell

Last Published

March 11th, 2013

Functions in MapGAM (0.6-2)

beertweets

Geocoded Tweets with Beer Indicator
sampcont

Unmatched Control Sampling
MAmap

Map of Massachusetts
predgrid

Create a Grid and Clip it to a Map and Data Bounds
MapGAM-package

Mapping Smoothed Odds Ratios from Individual-Level Spatial Data
trimdata

Trim a Data Set To Map Boundaries
optspan

Determine the Optimal Span Size for modgam
MAdata

Synthetic Case-Control Data for Massachusetts
colormap

Maps Odds Ratios and Clusters for modgam Objects
modgam

Fit a Spatial Logistic Generalized Additive Model (GAM)