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StatPerMeCo (version 0.1.0)

Statistical Performance Measures to Evaluate Covariance Matrix Estimates

Description

Statistical performance measures used in the econometric literature to evaluate conditional covariance/correlation matrix estimates (MSE, MAE, Euclidean distance, Frobenius distance, Stein distance, asymmetric loss function, eigenvalue loss function and the loss function defined in Eq. (4.6) of Engle et al. (2016) ). Additionally, compute Eq. (3.1) and (4.2) of Li et al. (2016) to compare the factor loading matrix. The statistical performance measures implemented have been previously used in, for instance, Laurent et al. (2012) , Amendola et al. (2015) and Becker et al. (2015) .

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Install

install.packages('StatPerMeCo')

Monthly Downloads

136

Version

0.1.0

License

GPL (>= 2)

Maintainer

Carlos Trucios

Last Published

April 14th, 2017

Functions in StatPerMeCo (0.1.0)

Lelw

MAE

dMA

Frobenius

Frobenius distance
Stein

LE

Leig

Asymm

Asymmetric loss function
dM1

MSE

StatPerMeas