View source: R/boot_functions.R
ZI.Index.Boot | R Documentation |
ZI.Index.Boot
calculates a raw, a normalized, a centered, and a scaled
relative abundance index for each bootstrap iteration
ZI.Index.Boot(data, i, bestmod, dist = "negbin", link = "logit", grid)
data |
see |
i |
see |
bestmod |
character vector representing saved object representing the best (i.e., final) model |
dist |
character vector used to specify the distribution to use in the
|
link |
character vector used to specify the link to use in the
|
grid |
prediction data frame for which you will get your predicted
response variable at. Generally will be created via a call to
|
numeric vector with four points:
boot
Other Index Bootstrap Functions:
Boot.Diag()
,
Stat.Calc()
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