codep-package |
Functions and methods to perform Multiscale Codependence Analysis (MCA) |
cthreshold |
Familywise type I error rate |
eigenmap |
Spatial eigenvector maps |
eigenmap-class |
Class and methods for spatial eigenvector maps |
eigenmap.score |
Spatial eigenvector maps |
fitted.mca |
Class and methods for Multiscale Codependence Analysis |
gcd.hf |
Great circle distances |
gcd.slc |
Great circle distances |
gcd.vife |
Great circle distances |
MCA |
Multiscale Codependence Analysis |
mca-class |
Class and methods for Multiscale Codependence Analysis |
minpermute |
Number of permutations for MCA |
permute.mca |
Multiscale Codependence Analysis |
plot.eigenmap |
Class and methods for spatial eigenvector maps |
plot.mca |
Class and methods for Multiscale Codependence Analysis |
predict.mca |
Class and methods for Multiscale Codependence Analysis |
print.eigenmap |
Class and methods for spatial eigenvector maps |
print.mca |
Class and methods for Multiscale Codependence Analysis |
residuals.mca |
Class and methods for Multiscale Codependence Analysis |
Salmon |
Juvenile Atlantic salmon (parr) density in St-Marguerite river, Québec, Canada |
summary.mca |
Class and methods for Multiscale Codependence Analysis |
test.mca |
Multiscale Codependence Analysis |
Wf.binary |
Spatial eigenvector maps |
Wf.Drayf1 |
Spatial eigenvector maps |
Wf.Drayf2 |
Spatial eigenvector maps |
Wf.Drayf3 |
Spatial eigenvector maps |
Wf.PCNM |
Spatial eigenvector maps |
Wf.sqrd |
Spatial eigenvector maps |