Package: spANOVA
Type: Package
Title: Spatial Analysis of Field Trials Experiments using Geostatistics
        and Spatial Autoregressive Model
Version: 0.99.0
Author: Lucas Roberto de Castro, Renato Ribeiro de Lima, Diogo Francisco Rossoni, Cristina Henriques Nogueira
Maintainer: Lucas Roberto de Castro <lrcastro@estudante.ufla.br>
Description: 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.
License: GPL-3
Encoding: UTF-8
LazyData: true
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
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-01 01:40:38 UTC; lucas
Repository: CRAN
Date/Publication: 2019-07-02 14:50:03 UTC
