Gives a brief summary of a fitted dsm variance object.
# S3 method for dsm.var
summary(object, alpha = 0.05, boxplot.coef = 1.5,
bootstrap.subregions = NULL, ...)a dsm.var object
alpha level for confidence intervals (default 0.05 to give a 95% confidence internal, i.e. we generate 100*c(alpha/2, 1-alpha/2) confidence intervals)
the value of coef used to calculate the outliers see boxplot.
list of vectors of logicals or indices for subregions for which variances need to be calculated (only for bootstraps (see dsm.var.prop for how to use subregions with variance propagation).
unused arguments for S3 compatibility
a summary object
dsm.var.movblk dsm.var.prop