spANOVA: Analysis of Field Trials with Geostatistics & Spatial AR Models

Perform analysis of variance when the experimental units are spatially correlated. There are two methods to deal with spatial dependence: Spatial autoregressive models (see Rossoni, D. F., & Lima, R. R. (2019) <doi:10.28951/rbb.v37i2.388>) and geostatistics (see Pontes, J. M., & Oliveira, M. S. D. (2004) <doi:10.1590/S1413-70542004000100018>). For both methods, there are three multicomparison procedure available: Tukey, multivariate T, and Scott-Knott.

Version: 0.99.4
Depends: R (≥ 2.10), stats, utils, graphics, geoR, shiny
Imports: MASS, Matrix, ScottKnott, car, gtools, multcomp, multcompView, mvtnorm, DT, shinyBS, xtable, shinythemes, rmarkdown, knitr, spdep, ape, spatialreg, shinycssloaders
Published: 2024-03-21
DOI: 10.32614/CRAN.package.spANOVA
Author: Castro L. R. [aut, cre, cph], Renato R. R. [aut, ths], Rossoni D. F. [aut], Nogueira C.H. [aut]
Maintainer: Castro L. R. <lucasroberto.castro at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: spANOVA results


Reference manual: spANOVA.pdf


Package source: spANOVA_0.99.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): spANOVA_0.99.4.tgz, r-oldrel (arm64): spANOVA_0.99.4.tgz, r-release (x86_64): spANOVA_0.99.4.tgz, r-oldrel (x86_64): spANOVA_0.99.4.tgz
Old sources: spANOVA archive


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