optimal.params.gst()
, GST.k()
and I.k()
apply to count data collected over a network of community samples k
(species by sample matrix). A theoretical relationship between
GST(k)
statistics and local immigration numbers I(k)
, in
the context of a spatially-implicit neutral community model (Munoz et
al 2008), is used to provide GST(k)
and I(k)
statistics
any sample k.
If requested, optimal.params.gst()
further provides the user with
confidence bounds.
optimal.params.gst(D, exact = TRUE, ci = FALSE, cint = c(0.025, 0.975), nbres = 100)
GST.k(D, exact = TRUE)
I.k(D, exact = TRUE)
TRUE
, exact similarity statistics are
calculated (sampling without replacement) while, if false, approximate
statistics (sampling with replacement) are considered (see Munoz et al
2008 for further statistical discussion)ci = TRUE
GST(k)
numbers (specific output of GST.k
)GST.k
and I.k
)I.k
and optimal.params.gst
)I.k
and
optimal.params.gst
). Specific outputs of optimal.params.gst
when ci = T (bootstrap procedure)I(k)
m(k)
I(k)
m(k)
optimal.params
,optimal.params.sloss
data(ghats)
optimal.params.gst(ghats)
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