| Name : R-regress
| |
| Version : 1.3.21
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:00:13
|
| Group : Development/Libraries/Other
| Source RPM : R-regress-1.3.21-lp153.2.13.src.rpm
|
| Size : 0.07 MB
| |
| Packager : (none)
| |
| Summary : Gaussian linear models with linear covariance structure
|
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)
< https://www.r-project.org/doc/Rnews/Rnews_2006-2.pdf>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
