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.
amean_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 assemblages
that share the same assembly motif
and that contain the same elements
as the assemblage to predict opt.model = "byelt"
.
Modelled performances are computed
using arithmetic mean opt.mean = "amean"
of performances.
Assemblages share a same assembly motif opt.model = "bymot"
.
Modelled 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
gmean_bymot_LOO
geometric mean
by assembly motif
gmean_byelt_LOO
geometric mean
by elements occurring within assembly motif