spANOVA: Spatial Analysis of Field Trials Experiments using Geostatistics and Spatial Autoregressive Model

Perform analysis of variance when the experimental units are spatially correlated. There are two methods to deal with spatial dependence: Spatial autoregressive models (see Scolforo, H.F et al. (2016) <doi:10.1007/s11676-015-0185-y>) 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: 0.99.0
Depends: R (≥ 2.10), stats, utils, graphics, geoR, shiny
Imports: MASS, Matrix, ScottKnott, car, gtools, multcomp, multcompView, mvtnorm, devtools, DT, shinyBS, xtable, shinythemes, rmarkdown, knitr, spdep, ape, spatialreg
Published: 2019-07-02
Author: Lucas Roberto de Castro, Renato Ribeiro de Lima, Diogo Francisco Rossoni, Cristina Henriques Nogueira
Maintainer: Lucas Roberto de Castro <lrcastro at>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: spANOVA results


Reference manual: spANOVA.pdf
Package source: spANOVA_0.99.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
OS X binaries: r-release: not available, r-oldrel: not available


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