CRAN/E | spANOVA

spANOVA

Analysis of Field Trials with Geostatistics & Spatial AR Models

Installation

About

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.

Key Metrics

Version 0.99.4
R ≥ 2.10
Published 2024-03-21 199 days ago
Needs compilation? no
License GPL-3
CRAN checks spANOVA results

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Maintainer

Maintainer

Castro L. R.

Authors

Castro L. R.

aut / cre / cph

Renato R. R.

aut / ths

Rossoni D. F.

aut

Nogueira C.H.

aut

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrel

x86_64

Old Sources

spANOVA archive

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