Statistical Methods for the Analysis of Case-Control Point Data


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Documentation for package ‘smacpod’ version 2.6

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smacpod-package smacpod
arg_check_alternative Argument check alternative
circles.intersect Determine whether circles intersect
circles.plot Plot circles
clusters.spscan Extract clusters
gradient.color.scale Create gradient color scale with midpoint
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 densities
nn Determine nearest neighbors
noc Determine non-overlapping clusters
plot.kdenv Plot a 'kdenv' object.
plot.logrrenv Plots objects produced by the 'logrr' function.
plot.spscan Plots object from 'spscan.test'.
print.kdenv Print a 'kdenv' object
print.kdenv_summary Print a 'kdenv_summary' object
print.kdplus_test Print a 'kdplus_test' object
print.logrrenv Print a 'logrrenv' object
print.logrr_test Print a 'logrr_test' object
print.spscan Plots object from 'spscan.test'.
qnn.test q Nearest Neighbors Test
smacpod smacpod
spdensity Kernel smoothed spatial density of point pattern
spscan.test Spatial Scan Test
summary.kdenv Summarize a 'kdenv' object
summary.spscan Summarize object from 'spscan.test'.