2nd Introduction to the Matrix package

Published: Jan 1, 2016
Abstract
Linear algebra is at the core of many areas of statistical computing and from its inception the S language has supported numerical linear algebra via a matrix data type and several functions and operators, such as %*%, qr, chol, and solve. However, these data types and functions do not provide direct access to all of the facilities for efficient manipulation of dense matrices, as provided by the Lapack subroutines, and they do not provide for...
Paper Details
Title
2nd Introduction to the Matrix package
Published Date
Jan 1, 2016
Journal
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