Usage
corBlomberg(value, phy, form = ~1, fixed = FALSE)
## S3 method for class 'corBlomberg':
corMatrix(object, covariate = getCovariate(object),
corr = TRUE, ...)
## S3 method for class 'corBlomberg':
coef(object, unconstrained = TRUE, \dots)
Arguments
value
the (initial) value of the parameter $g$.
phy
an object of class "phylo"
.
fixed
a logical specifying whether gls
should
estimate $\gamma$ (the default) or keep it fixed.
object
an (initialized) object of class "corBlomberg"
.
corr
a logical value specifying whether to return the
correlation matrix (the default) or the variance-covariance matrix.
unconstrained
a logical value. If TRUE
(the default),
the coefficients are returned in unconstrained form (the same used
in the optimization algorithm). If FALSE
the coefficients are
returned in ``natural'', possibly constrained, f
...
further arguments passed to or from other methods.