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r_test / packages / r-regress 1.3_15

Functions to fit Gaussian linear model by maximising the residual log likelihood where the covariance structure can be written as a linear combination of known matrices. Can be used for multivariate models and random effects models. Easy straight forward manner to specify random effects models, including random interactions. Code now optimised to use Sherman Morrison Woodbury identities for matrix inversion in random effects models. We've added the ability to fit models using any kernel as well as a function to return the mean and covariance of random effects conditional on the data (BLUPs).

  • License: GPL-3
  • Home: http://www.csiro.au
  • 0 total downloads
  • Last upload: 5 years and 5 months ago

Installers

  • noarch v1.3_15

conda install

To install this package run one of the following:
conda install r_test::r-regress

Description


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