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 Rossoni, D. F., & Lima, R. R. (2019) ) and geostatistics (see Pontes, J. M., & Oliveira, M. S. D. (2004) ). For both methods, there are three multicomparison procedure available: Tukey, multivariate T, and Scott-Knott.


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install.packages("spANOVA")

0.99.2 by Lucas Roberto de Castro, 8 months ago


Browse source code at https://github.com/cran/spANOVA


Authors: Lucas Roberto de Castro , Renato Ribeiro de Lima , Diogo Francisco Rossoni , Cristina Henriques Nogueira


Documentation:   PDF Manual  


GPL-3 license


Imports MASS, Matrix, ScottKnott, car, gtools, multcomp, multcompView, mvtnorm, DT, shinyBS, xtable, shinythemes, rmarkdown, knitr, spdep, ape, spatialreg, shinycssloaders

Depends on stats, utils, graphics, geoR, shiny


See at CRAN