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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) <doi:10.2139/ssrn.2814555>). Additionally, compute Eq. (3.1) and (4.2) of Li et al. (2016) <doi:10.1080/07350015.2015.1092975> to compare the factor loading matrix. The statistical performance measures implemented have been previously used in, for instance, Laurent et al. (2012) <doi:10.1002/jae.1248>, Amendola et al. (2015) <doi:10.1002/for.2322> and Becker et al. (2015) <doi:10.1016/j.ijforecast.2013.11.007>.

Type Size Name Uploaded Downloads Labels
conda 49.4 kB | noarch/r-statpermeco-0.1.0-r43h142f84f_0.tar.bz2  9 months and 30 days ago 14 main
conda 49.4 kB | noarch/r-statpermeco-0.1.0-r42h142f84f_0.tar.bz2  2 years and 4 months ago 45 main
conda 49.1 kB | noarch/r-statpermeco-0.1.0-r36h6115d3f_0.tar.bz2  4 years and 8 months ago 110 main

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