SAMM: Some Algorithms for Mixed Models

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,...).

Version: 1.1.1
Imports: Rcpp (≥ 0.12.4)
LinkingTo: Rcpp, RcppArmadillo
Published: 2018-12-06
Author: Deniz Akdemir
Maintainer: Deniz Akdemir < at>
License: GPL-3
NeedsCompilation: yes
CRAN checks: SAMM results


Reference manual: SAMM.pdf


Package source: SAMM_1.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SAMM_1.1.1.tgz, r-oldrel (arm64): SAMM_1.1.1.tgz, r-release (x86_64): SAMM_1.1.1.tgz, r-oldrel (x86_64): SAMM_1.1.1.tgz
Old sources: SAMM archive


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