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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.

Versions across snapshots

VersionRepositoryFileSize
0.99.4 rolling linux/jammy R-4.5 spANOVA_0.99.4.tar.gz 163.8 KiB
0.99.4 rolling linux/noble R-4.5 spANOVA_0.99.4.tar.gz 163.5 KiB
0.99.4 rolling source/ R- spANOVA_0.99.4.tar.gz 47.0 KiB
0.99.4 latest linux/jammy R-4.5 spANOVA_0.99.4.tar.gz 163.8 KiB
0.99.4 latest linux/noble R-4.5 spANOVA_0.99.4.tar.gz 163.5 KiB
0.99.4 latest source/ R- spANOVA_0.99.4.tar.gz 47.0 KiB
0.99.4 2026-04-26 source/ R- spANOVA_0.99.4.tar.gz 47.0 KiB
0.99.4 2026-04-23 source/ R- spANOVA_0.99.4.tar.gz 47.0 KiB
0.99.4 2026-04-09 windows/windows R-4.5 spANOVA_0.99.4.zip 168.0 KiB
0.99.4 2025-04-20 source/ R- spANOVA_0.99.4.tar.gz 47.0 KiB

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