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SAMM  

Some Algorithms for Mixed Models
View on CRAN: Click here


Download and install SAMM package within the R console
Install from CRAN:
install.packages("SAMM")

Install from Github:
library("remotes")
install_github("cran/SAMM")

Install by package version:
library("remotes")
install_version("SAMM", "1.1.1")



Attach the package and use:
library("SAMM")
Maintained by
Deniz Akdemir
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-10
Latest Update: 2018-12-06
Description:
This program can be used to fit Gaussian linear mixed models (LMM). Univariate and multivariate response models, multiple variance components, as well as, certain correlation and covariance structures are supported. In many occasions, the user can pick one of the several mixed model fitting algorithms, which are explained further in the details section. Some algorithms are specific to certain types of models (univariate or multivariate, diagonal or non-diagonal residual, one or multiple variance components, etc,...).
How to cite:
Deniz Akdemir (2016). SAMM: Some Algorithms for Mixed Models. R package version 1.1.1, https://cran.r-project.org/web/packages/SAMM. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.0.1 (2016-07-10 12:00), 0.0 (2016-05-12 16:24), 1.1.1 (2018-12-06 17:30), 1.1 (2018-11-26 16:50)
Other packages that cited SAMM R package
View SAMM citation profile
Other R packages that SAMM depends, imports, suggests or enhances
Functions, R codes and Examples using the SAMM R package
Some associated functions: SAMM-package . SAMM . loglikfuncmmmkmv . sigcovfuncs_cppforR . 
Some associated R codes: RcppExports.R .  Full SAMM package functions and examples
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