Statistical Methods for the Analysis of Case-Control Point Data
Argument check alternative
Determine whether circles intersect
Plot circles
Extract clusters
Create gradient color scale with midpoint
Difference of estimated K functions
Difference of estimated K functions
Global test of clustering using difference in K functions
Log ratio of spatial densities
Global test of clustering using log ratio of spatial densities
Determine nearest neighbors
Determine non-overlapping clusters
Plot a kdenv object.
Plots objects produced by the logrrfunction.
Plots object from spscan.test.
Print a kdenv object
Print a kdenv_summary object
Print a kdplus_test object
Print a logrr_test object
Print a logrrenv object
Plots object from spscan.test.
q Nearest Neighbors Test
Objects exported from other packages
smacpod
Kernel smoothed spatial density of point pattern
Spatial Scan Test
Summarize a kdenv object
Summarize object from spscan.test.
Statistical methods for analyzing case-control point data. Methods include the ratio of kernel densities, the difference in K Functions, the spatial scan statistic, and q nearest neighbors of cases.