R: Analysis of Field Trials with Geostatistics & Spatial AR Models

# Analysis of Field Trials with Geostatistics & Spatial AR Models

## Documentation for package ‘spANOVA’ version 0.99.4

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

aovGeo | Analysis of variance using a geostatistical model to handle spatial dependence
aovGeo.spVariofitRCBD | Analysis of variance using a geostatistical model to handle spatial dependence
aovSar.crd | Using a SAR model to handle spatial dependence in a Completely Randomized Design
aovSar.gen | Using a SAR model to handle spatial dependence in an aov model.
aovSar.rcbd | Using a SAR model to handle spatial dependence in a Randomized Complete Block Design
contr.tuk | Tukey's contrast matrix
crd_simulated | Simulated data set for CRD
rcbd_simulated | Simulated data set for RCBD
spANOVAapp | Shiny app for spANOVA
spCrossvalid | Cross-validation by kriging
spMVT | Multiple comparison test based on multivariate t student distribution
spMVT.GEOanova | Multiple comparison test based on multivariate t student distribution
spMVT.SARanova | Multiple comparison test based on multivariate t student distribution
spScottKnott | The Scott-Knott Clustering Algorithm
spScottKnott.GEOanova | The Scott-Knott Clustering Algorithm
spScottKnott.SARanova | The Scott-Knott Clustering Algorithm
spTukey | Compute Tukey Honest Significant Differences for a Spatially Correlated Model
spTukey.GEOanova | Compute Tukey Honest Significant Differences for a Spatially Correlated Model
spTukey.SARanova | Compute Tukey Honest Significant Differences for a Spatially Correlated Model
spVariofit | Fit a variogram model
spVariog | Compute empirical residual variogram for CRD or RCBD.