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 <deniz.akdemir.work at gmail.com>
License:	GPL-3
NeedsCompilation:	yes
CRAN checks:	SAMM results

Documentation:

Reference manual:

SAMM.pdf

Downloads:

Package source:	SAMM_1.1.1.tar.gz
Windows binaries:	r-devel: SAMM_1.1.1.zip, r-release: SAMM_1.1.1.zip, r-oldrel: SAMM_1.1.1.zip
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

Linking:

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