Analysis of Field Trials with Geostatistics & Spatial AR Models

Documentation for package ‘spANOVA’ version 0.99.4

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.