# smacpod: Statistical Methods for the Analysis of Case-Control Point Data

Various statistical methods for analyzing case-control point data. The methods available closely follow those in chapter 6 of Applied Spatial Statistics for Public Health Data by Waller and Gotway (2004).

- Author
- Joshua French
- Date of publication
- 2015-09-23 03:07:51
- Maintainer
- Joshua French <joshua.french@ucdenver.edu>
- License
- GPL (>= 2)
- Version
- 1.4.1

## Man pages

- circles.intersect
- Determine whether circles intersection
- grave
- Medieval Grave Site Data
- kd
- Difference of estimated K functions
- kdest
- Difference of estimated K functions
- kdplus.test
- Global test of clustering using difference in K functions
- logrr
- Log ratio of spatial densities
- logrr.test
- Global test of clustering using log ratio of spatial...
- nn
- Determine nearest neighbors
- noc
- Determine non-overlapping clusters
- plot.kdenv
- Plots object from kdest of class 'kdenv'.
- plot.logrrenv
- Plots object from logrr of class 'logrrenv'.
- plot.scan
- Plots object from spscan.test of class 'scan'.
- qnn.test
- 'q' Nearest Neighbors Test
- spdensity
- Kernel smoothed spatial density of point pattern
- spscan.test
- Spatial Scan Test