Package: smacpod 2.6.4

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

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.

Authors:Joshua French [aut, cre]

smacpod_2.6.4.tar.gz
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smacpod_2.6.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
smacpod/json (API)

# Install 'smacpod' in R:

install.packages('smacpod', repos = c('https://jfrench.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jfrench/smacpod/issues

Datasets:

grave - Medieval Grave Site Data

On CRAN:

3.85 score 70 scripts 748 downloads 17 exports 20 dependencies

Last updated from:41e4f574a6. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	145
source / vignettes	OK	187
linux-release-x86_64	OK	138
macos-release-arm64	OK	102
macos-oldrel-arm64	OK	106
windows-devel	OK	146
windows-release	OK	95
windows-oldrel	OK	96
wasm-release	OK	134

Exports:circles.intersect circles.plot clusters create_spscan gradient.color.scale kd kdest kdplus.test logrr logrr.test nn noc qnn.test spdensity spscan.sim spscan.stat spscan.test

Dependencies:abind deldir goftest lattice Matrix nlme pbapply plotrix polyclip Rcpp RcppProgress smerc spatstat.data spatstat.explore spatstat.geom spatstat.random spatstat.sparse spatstat.univar spatstat.utils tensor

Demonstration of the smacpod package

Rendered fromsmacpod_demo.Rmdusingknitr::rmarkdown

Last update: 2023-09-21
Started: 2021-10-13

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Argument check alternative	arg_check_alternative
Determine whether circles intersect	circles.intersect
Plot circles	circles.plot
Extract clusters	clusters.spscan
Create gradient color scale with midpoint	gradient.color.scale
Medieval Grave Site Data	grave
Difference of estimated K functions	kd
Difference of estimated K functions	kdest
Global test of clustering using difference in K functions	kdplus.test
Log ratio of spatial densities	logrr
Global test of clustering using log ratio of spatial densities	logrr.test
Determine nearest neighbors	nn
Determine non-overlapping clusters	noc
Plot a 'kdenv' object.	plot.kdenv
Plots objects produced by the 'logrr' function.	plot.logrrenv
Plots object from 'spscan.test'.	plot.spscan
Print a 'kdenv' object	print.kdenv
Print a 'kdenv_summary' object	print.kdenv_summary
Print a 'kdplus_test' object	print.kdplus_test
Print a 'logrr_test' object	print.logrr_test
Print a 'logrrenv' object	print.logrrenv
Plots object from 'spscan.test'.	print.spscan
q Nearest Neighbors Test	qnn.test
smacpod	smacpod-package smacpod
Kernel smoothed spatial density of point pattern	spdensity
Spatial Scan Test	spscan.test
Summarize a 'kdenv' object	summary.kdenv
Summarize object from 'spscan.test'.	summary.spscan