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.
- Version0.99.4
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release03/21/2024
Documentation
Team
Castro L. R.
Renato R. R.
Show author detailsRolesAuthor, Thesis advisorRossoni D. F.
Show author detailsRolesAuthorNogueira C.H.
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 165 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
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Last 365 days
This package has been downloaded 2,338 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 31 downloads.
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Dependencies
- Depends2 packages
- Imports17 packages