unstructured {asreml} | R Documentation |
General correlation and covariance models.
cor(obj, init=NA) corv(obj, init=NA) corh(obj, init=NA) corb(obj, b=1, init=NA) corbv(obj, init=NA) corbh(obj, init=NA) corg(obj, init=NA) corgv(obj, init=NA) corgh(obj, init=NA) diag(obj, init=NA) us(obj, init=NA) chol(obj, k=1, init=NA) ante(obj, k=1, init=NA) sfa(obj, k=1, init=NA) facv(obj, k=1, init=NA) fa(obj, k=1, init=NA) rr(obj, k=1, init=NA)
obj |
A factor in |
init |
A vector of initial values (correlation parameters followed by
variance parameters) with an optional |
b |
Number of (sub-diagonal) bands in banded correlation models. |
k |
Order of the model ( |
The class of general variance models includes the simple, banded
and general correlation models (cor
, corb
,
corg
), the diagonal, unstructured, Cholesky and
antedependence variance models (diag
, us
,
chol
, cholc
, ante
) and the factor analytic
structures (sfa
, facv
, fa
).
asr_corv
: Simple correlation model,
homogeneous variance form.
asr_corh
: Simple correlation model,
heterogeneous variance form.
asr_corb
: Banded correlation model with b
bands.
asr_corbv
: Banded correlation model with b
bands,
homogeneous variance form.
asr_corbh
: Banded correlation model with b
bands,
heterogeneous variance form.
asr_corg
: General correlation model.
asr_corgv
: General correlation model,
homogeneous variance form.
asr_corgh
: General correlation model,
heterogeneous variance form.
asr_diag
: Diagonal variance model.
asr_us
: Unstructured variance model.
asr_chol
: Cholesky variance model of order k
.
asr_ante
: Antedependence variance model of order k
.
asr_sfa
: Factor analytic model with k
factors;
the variance-covariance matrix is modelled on the correlation
scale.
asr_facv
: Factor analytic model with k
factors;
the variance-covariance matrix is modelled on the covariance
scale.
asr_fa
: Factor analytic model with k
factors;
sparse formulation where k
“extra” levels are
inserted in the mixed model equations.
asr_rr
: Factor analytic model with k
factors;
reduced rank formulation of fa()
where the default boundary
constraints for the specific variances are set to Fixed.