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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