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spANOVA: Analysis of Field Trials with Geostatistics & Spatial AR Models
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.
Getting started
Browse package contents
Package details |
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| 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> |
| License | GPL-3 |
| Version | 0.99.4 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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