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spANOVA  

Analysis of Field Trials with Geostatistics & Spatial AR Models
View on CRAN: Click here


Download and install spANOVA package within the R console
Install from CRAN:
install.packages("spANOVA")

Install from Github:
library("remotes")
install_github("cran/spANOVA")

Install by package version:
library("remotes")
install_version("spANOVA", "0.99.4")



Attach the package and use:
library("spANOVA")
Maintained by
Castro L. R.
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-02
Latest Update: 2024-03-21
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.
How to cite:
Castro L. R. (2019). spANOVA: Analysis of Field Trials with Geostatistics & Spatial AR Models. R package version 0.99.4, https://cran.r-project.org/web/packages/spANOVA. Accessed 12 Nov. 2024.
Previous versions and publish date:
0.99.0 (2019-07-02 16:50), 0.99.1 (2019-08-21 13:20), 0.99.2 (2020-02-25 11:00), 0.99.3 (2021-06-11 10:50)
Other packages that cited spANOVA R package
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Complete documentation for spANOVA
Functions, R codes and Examples using the spANOVA R package
Full spANOVA package functions and examples
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