Take a vector fobs
of performances of assemblages
that share a same assembly motif,
and return a vector of performances
predicted as the arithmetic mean
of performances of assemblages
that contain the same elements as the assemblage to predict.
All assemblages share the same assembly motif.
gmean_byelt_LOO(fobs, mOccur)
a numeric vector. The vector fobs
contains the
quantitative performances of assemblages.
a matrix of occurrence (occurrence of elements).
Its first dimension equals to length(fobs)
. Its second dimension
equals to the number of elements.
Return a vector of length(fobs)
.
Its values are computed as the average
of mean performances of all assemblages
that contain the same elements
as the assemblage to predict (opt.model = "byelt"
) .
Predicted performances are computed
using geometric mean (opt.mean = "gmean"
)
of performances.
Assemblages share a same assembly motif (opt.model = "bymot"
).
Predicted performances are the average
of mean performances of assemblages
that contain the same elements
as the assemblage to predict,
except the assemblage to predict.
This procedure corresponds to a linear model with each assembly motif
based on the element occurrence in each assemblage.
amean_bymot_LOO
arithmetic mean
by assembly motif
amean_byelt_LOO
arithmetic mean
by elements occurring within assembly motif
gmean_bymot_LOO
geometric mean
by assembly motif