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regress  

Gaussian Linear Models with Linear Covariance Structure
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", "1.3-21")



Attach the package and use:
library("regress")
Maintained by
Karl W Broman
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2004-06-15
Latest Update: 2020-06-18
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 1.3-21, https://cran.r-project.org/web/packages/regress. Accessed 01 Feb. 2025.
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 (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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