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: 2026-10-09 11:09:36 UTC; root
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>
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        make libicu-dev libuv1-dev libssl-dev libproj-dev
        libsqlite3-dev libudunits2-dev zlib1g-dev
Repository: https://lrcastro.r-universe.dev
Date/Publication: 2024-03-22 02:32:38 UTC
RemoteUrl: https://github.com/cran/spANOVA
RemoteRef: HEAD
RemoteSha: a97859e77492478c7f5b7ef85f6201347e929060