Man pages for smacpod
Statistical Methods for the Analysis of Case-Control Point Data

arg_check_alternativeArgument check alternative
circles.intersectDetermine whether circles intersect
circles.plotPlot circles
clusters.spscanExtract clusters
create_spscanCreate spscan object
gradient.color.scaleCreate gradient color scale with midpoint
graveMedieval Grave Site Data
kdDifference of estimated K functions
kdestDifference of estimated K functions
kdplus.testGlobal test of clustering using difference in K functions
logrrLog ratio of spatial densities
logrr.testGlobal test of clustering using log ratio of spatial...
nnDetermine nearest neighbors
nocDetermine non-overlapping clusters
plot.kdenvPlot a 'kdenv' object.
plot.logrrenvPlots objects produced by the 'logrr' function.
plot.spscanPlots object from 'spscan.test'.
print.kdenvPrint a 'kdenv' object
print.kdenv_summaryPrint a 'kdenv_summary' object
print.kdplus_testPrint a 'kdplus_test' object
print.logrrenvPrint a 'logrrenv' object
print.logrr_testPrint a 'logrr_test' object
print.spscanPlots object from 'spscan.test'.
qnn.testq Nearest Neighbors Test
reexportsObjects exported from other packages
smacpodsmacpod
spdensityKernel smoothed spatial density of point pattern
spscan.simCompute spatial scan statistics for simulated data
spscan.statCompute spatial scan statistic
spscan.testSpatial Scan Test
summary.kdenvSummarize a 'kdenv' object
summary.spscanSummarize object from 'spscan.test'.
smacpod documentation built on Oct. 31, 2024, 1:08 a.m.