Package: spANOVA
Type: Package
Title: Analysis of Field Trials with Geostatistics & Spatial AR Models
Version: 0.99.4
Authors@R: c(
    person("Castro", "L. R.", role=c("aut", "cre", "cph"), email="lucasroberto.castro@gmail.com"),
    person("Renato", "R. R.", role=c("aut", "ths")),
    person("Rossoni", "D. F.", role=c("aut")),
    person("Nogueira", "C.H.", role=c("aut"))
    )
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 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.
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, DT, shinyBS, xtable, shinythemes, rmarkdown, knitr,
        spdep, ape, spatialreg, shinycssloaders
RoxygenNote: 7.3.1
NeedsCompilation: no
Packaged: 2024-03-19 06:37:39 UTC; lucas
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@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-21 14:30:02 UTC
Built: R 4.6.0; ; 2026-05-01 00:37:30 UTC; unix
