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regress
View on CRAN: Click
here
Download and install regress package within the R console
Install from CRAN:
install.packages("regress")
Install from Github:
library("remotes")
install_github("cran/regress") Install by package version:
library("remotes")
install_version("regress", "1.3-22") Attach the package and use:
library("regress")
Maintained by
Karl W Broman
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2004-06-15
Latest Update: 2025-05-09
Description:
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)
.
How to cite:
Karl W Broman (2004). regress: Gaussian Linear Models with Linear Covariance Structure. R package version 1.3-22, https://cran.r-project.org/web/packages/regress. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1 (2004-06-15 19:17), 0.2 (2004-06-21 23:33), 0.3 (2005-04-12 10:41), 0.4 (2005-06-17 09:08), 1.0-0 (2006-06-10 14:19), 1.1-2 (2009-02-10 09:14), 1.2 (2011-10-17 07:55), 1.3-2 (2011-12-02 17:23), 1.3-4 (2011-12-04 10:26), 1.3-5 (2011-12-08 20:01), 1.3-7 (2012-03-07 08:17), 1.3-8 (2012-03-19 07:52), 1.3-9 (2013-01-15 07:22), 1.3-10 (2013-04-18 08:27), 1.3-13 (2014-05-14 02:50), 1.3-14 (2014-07-14 07:48), 1.3-15 (2017-04-21 16:55), 1.3-21 (2020-06-18 19:50), 1.3 (2011-11-25 08:13)
Other packages that cited regress R package
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Other R packages that regress depends,
imports, suggests or enhances
Complete documentation for regress
Functions, R codes and Examples using
the regress R package
Some associated functions: regress .
Some associated R codes: BLUP.R . MatrixInversions.R . ginv.R . printSummary.R . regress.R . reml.R . Full regress package functions and examples
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