pdBlocked
class, representing a positive-definite block-diagonal matrix. Each
block-diagonal element of the underlying matrix is itself a
positive-definite matrix and is represented internally as an
individual pdMat object. When value is
numeric(0), a list of uninitialized pdMat objects, a
list of one-sided formulas, or a list of vectors of character strings,
object is returned as an uninitialized pdBlocked 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 a list of initialized
pdMat objects, object will be constructed from the list
obtained by applying as.matrix to each of the pdMat
elements of value. Finally, if value is a list of
numeric vectors, they are assumed to represent the unrestricted
coefficients of the block-diagonal elements of the underlying
positive-definite matrix.## S3 method for class 'pdBlocked':
pdConstruct(object, value, form, nam, data, pdClass,
\dots)pdBlocked,
representing a positive definite block-diagonal matrix.value argument to other pdMat constructors. These
include: pdMat objects, positive-definite
matrices, one-sided linear formulas, vectors of character strings,object. Because factors may be present in
form, the formulas needs to be evaluatedvalue and form. It is used to
obtain the levels for factors, which affect the
dimensions and the row/column names of the underlying matrix. pdMat classes to be assigned to the individual blocks in the
underlying matrix. If a single class is specified, it is used for all
block-diagonal elements. This argument will only bepdBlocked object representing a positive-definite
block-diagonal matrix, also inheriting from class pdMat.as.matrix.pdMat, coef.pdMat,
matrix<-.pdMatpd1 <- pdBlocked(list(c("A","B"), c("a1", "a2", "a3")))
pdConstruct(pd1, list(diag(1:2), diag(c(0.1, 0.2, 0.3))))Run the code above in your browser using DataLab