mvrsquared

Description

Compute the coefficient of determination for outcomes in n-dimensions. May be useful for multidimensional predictions (such as a multinomial model) or calculating goodness of fit from latent variable models such as probabilistic topic models like latent Dirichlet allocation or deterministic topic models like latent semantic analysis. Based on Jones (2019) <arXiv:1911.11061>.

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Maintainer: ‘Tommy Jones <jones.thos.w@gmail.com>’

The Description field contains
  Jones (2019) <arXiv:1911.11061>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Maintainer: ‘Tommy Jones <jones.thos.w@gmail.com>’

The Description field contains
  Jones (2019) <arXiv:1911.11061>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

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Maintainer: ‘Tommy Jones <jones.thos.w@gmail.com>’

The Description field contains
  Jones (2019) <arXiv:1911.11061>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Maintainer: ‘Tommy Jones <jones.thos.w@gmail.com>’

The Description field contains
  Jones (2019) <arXiv:1911.11061>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

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