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nnspat
View on CRAN: Click
here
Download and install nnspat package within the R console
Install from CRAN:
install.packages("nnspat")
Install from Github:
library("remotes")
install_github("cran/nnspat")
Install by package version:
library("remotes")
install_version("nnspat", "0.1.2")
Attach the package and use:
library("nnspat")
Maintained by
Elvan Ceyhan
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-10
Latest Update: 2023-12-19
Description:
Contains the functions for testing the spatial patterns (of segregation, spatial symmetry,
association, disease clustering, species correspondence, and reflexivity) based on nearest neighbor relations,
especially using contingency tables such as
nearest neighbor contingency tables (Ceyhan (2010) and
Ceyhan (2017) and references therein),
nearest neighbor symmetry contingency tables (Ceyhan (2014) ),
species correspondence contingency tables and reflexivity contingency tables (Ceyhan (2018)
for two (or higher) dimensional data.
The package also contains functions for generating patterns of segregation, association,
uniformity in a multi-class setting (Ceyhan (2014) ),
and various non-random labeling patterns for disease clustering
in two dimensional cases (Ceyhan (2014)
), and for visualization of all these patterns
for the two dimensional data.
The tests are usually (asymptotic) normal z-tests or chi-square tests.
How to cite:
Elvan Ceyhan (2021). nnspat: Nearest Neighbor Methods for Spatial Patterns. R package version 0.1.2, https://cran.r-project.org/web/packages/nnspat. Accessed 22 Dec. 2024.
Other packages that cited nnspat R package
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Other R packages that nnspat depends,
imports, suggests or enhances
Complete documentation for nnspat
Functions, R codes and Examples using
the nnspat R package
Some associated functions: EV.Nii . EV.Tcomb . EV.Tkinv . EV.nnct . EV.rct . EV.tct . EV.tctI . NN . NNdist . NNdist2cl . NNsub . Ninv . Nt.def . Ntkl . QRval . Qsym.ct . Qsym.test . SkewTk . Tcomb . Tval . Wmat . Xsq.ceTk . Xsq.nnsym . ZTcomb . ZTrun . ZceTk . Znnsym . Znnsym2cl . aij.theta . asycovTkTl . asyvarTk . bvnorm.pdf . ceTk . ceTkinv . ceTrun . cellsTij . cov.nnct . cov.nnsym . cov.seg.coeff . cov.tct . covNrow2col . covTcomb . covTkTl . dist.std.data . dist2full . dot-onAttach . dot-onLoad . euc.dist . exact.nnct . exact.pval1s . exact.pval2s . funs.auxcovtct . funs.base.class.spec . funs.cell.spec.ss . funs.class.spec . funs.covNii . funs.covtct . funs.kNNdist . funs.kNNdist2cl . funs.overall.nnct . funs.overall.seg . funs.overall.tct . funs.pijPij . funs.scct . funs.seg.coeff . funs.varNii . funs.vartct . funsAijmat . funsC_MI_II . funsExpTk . funsExpTrun . funsNNclass.spec . funsN_I_II . funsOnevsRest . funsPseg.ss . funsQandR . funsRowColSums . funsVarTk . funsVarTrun . funsW345values . funsXsq.nnref . funsXsq.nnsym.dx . funsXsq.nnsym.ss . funsXsq.seg.coeff . funsXsq.spec.cor . funsZTkinv . funsZcell.nnct . funsZcell.nnct.pval . funsZcell.spec . funsZcell.tct . funsZdir.nnct . funsZdir.nnct.ss . funsZmixed.nonref . funsZnnref . funsZnnself . funsZnnself.sum . funsZnnsym.dx . funsZnnsym.ss . funsZnnsym2cl.dx . funsZnnsym2cl.ss . funsZseg.coeff . funsZsegind . funsZself.ref . ind.nnsym . ind.seg.coeff . ipd.mat.euc . ipd.mat . kNN . mat2vec . matrix.sqrt . nnct.boot.dis . nnct . nnct.sub . nnspat-package . pairwise.lab . pick.min.max . pk . plot.Clusters . plot.SpatPatterns . print.Chisqtest . print.Clusters . print.SpatPatterns . print.cellhtest . print.classhtest . print.refhtest . print.summary.Clusters . print.summary.SpatPatterns . prob.nnct . rassoc . rassocC . rassocG . rassocI . rassocU . rct . rdiag.clust . rhor.clust . rnonRL . rnonRLI . rnonRLII . rnonRLIII . rnonRLIV . rrot.clust . rseg . rself.ref . runif.circ . seg.ind . sharedNNmc . summary.Clusters . summary.SpatPatterns . swamptrees . tct . tocher.cor . var.nnct . var.nnsym . var.seg.coeff . var.tct . varPseg.coeff . varTkinv.sim .
Some associated R codes: ClassFunctions.R . NNCTFunctions.R . StartupFunctions.R . data.R . nnspat.R . Full nnspat package functions and examples
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