pdLogChol class,
representing a general positive-definite matrix. If the matrix
associated with object is of dimension $n$, it is
represented by $n(n+1)/2$ unrestricted parameters,
using the log-Cholesky parametrization described in Pinheiro and
Bates (1996). When value is numeric(0), an uninitialized
pdMat object, a one-sided
formula, or a vector of character strings, object is returned
as an uninitialized pdLogChol object (with just some of its
attributes and its class defined) and needs to have its coefficients
assigned later, generally using the coef or matrix replacement
functions. If value is an initialized pdMat object,
object will be constructed from
as.matrix(value). Finally, if value is a numeric vector,
it is assumed to represent the unrestricted coefficients of the
matrix-logarithm parametrization of the underlying positive-definite
matrix.pdLogChol(value, form, nam, data)pdMat object, a positive-definite
matrix, a one-sided linear formula (with variables separated by
+), a vector of character strings, or a numeric
object. Because
factors may be present in form, the formula needs to be
evaluated on a data.frame to resolve the names itvalue and form. It is used to
obtain the levels for factors, which affect the
dimensions and the row/column names of the underlying matrix. pdLogChol object representing a general positive-definite
matrix, also inheriting from class pdMat.Pinheiro, J.C., and Bates, D.M. (2000) "Mixed-Effects Models in S and S-PLUS", Springer.
as.matrix.pdMat,
coef.pdMat,
pdClasses,
matrix<-.pdMatpd1 <- pdLogChol(diag(1:3), nam = c("A","B","C"))
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