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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 (best linear unbiased predictors, BLUPs). Clifford and McCullagh (2006) <https://www.r-project.org/doc/Rnews/Rnews_2006-2.pdf>.
Version: | 1.3-21 |
Suggests: | nlme, MASS |
Published: | 2020-06-18 |
DOI: | 10.32614/CRAN.package.regress |
Author: | David Clifford [aut], Peter McCullagh [aut], HJ Auinger [ctb], Karl W Broman [ctb, cre] |
Maintainer: | Karl W Broman <broman at wisc.edu> |
BugReports: | https://github.com/kbroman/regress/issues |
License: | GPL-2 |
URL: | https://github.com/kbroman/regress |
NeedsCompilation: | no |
Citation: | regress citation info |
Materials: | README |
In views: | MixedModels, Spatial |
CRAN checks: | regress results |
Reference manual: | regress.pdf |
Package source: | regress_1.3-21.tar.gz |
Windows binaries: | r-devel: regress_1.3-21.zip, r-release: regress_1.3-21.zip, r-oldrel: regress_1.3-21.zip |
macOS binaries: | r-release (arm64): regress_1.3-21.tgz, r-oldrel (arm64): regress_1.3-21.tgz, r-release (x86_64): regress_1.3-21.tgz, r-oldrel (x86_64): regress_1.3-21.tgz |
Old sources: | regress archive |
Reverse imports: | cape |
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These binaries (installable software) and packages are in development.
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