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.packages('StatPerMeCo')

Monthly Downloads

127

Version

0.1.0

License

GPL (>= 2)

Maintainer

Last Published

April 14th, 2017

Functions in StatPerMeCo (0.1.0)