Fast Statistical Hypothesis Tests on Rows and Columns of
Matrices
Functions to perform fast statistical hypothesis tests on rows/columns of matrices.
The main goals are: 1) speed via vectorization, 2) output that is detailed and easy to use,
3) compatibility with tests implemented in R (like those available in the 'stats' package).

testthat, moments, car, cosinor, cosinor2

testthat, moments, car, cosinor, cosinor2, PMCMRplus

testthat, moments, car, cosinor, cosinor2, PMCMR

Collection of functions for matrix differential calculus
A collection of functions to support matrix differential calculus
as presented in Magnus and Neudecker (1999)
Matrix Differential Calculus with Applications in Statistics and Econometrics,
Second Edition, John Wiley, New York.  Some of the functions are comparable
to APL and J functions which are useful for actuarial models and calculations.

A collection of functions to support matrix differential calculus
as presented in Magnus and Neudecker (1999)
Matrix Differential Calculus with Applications in Statistics and Econometrics,
Second Edition, John Wiley, New York.  Some of the functions are comparable
to APL and J functions which are useful for actuarial models and calculations.
This package is used for teaching and research purposes at the Department of
Finance and Risk Engineering, Polytechnic University, Brooklyn, NY 11201.

A collection of functions to support matrix calculations
as presented in Magnus and Neudecker (1999). There are
additional functions that are comparable to APL functions which
are useful for actuarial models and calculations.  This package
is used for teaching and research purposes at the Department of
Finance and Risk Engineering, New York University, Polytechnic
Institute, Brooklyn, NY 11201.

Collection of functions for matrix calculations
A collection of functions to support matrix calculations
for probability, econometric and numerical analysis. There are
additional functions that are comparable to APL functions which
are useful for actuarial models such as pension mathematics.
This package is used for teaching and research purposes at the
Department of Finance and Risk Engineering, New York
University, Polytechnic Institute, Brooklyn, NY 11201.