SAMM v1.1.1

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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,...).

Functions in SAMM

Name Description
loglikfuncmmmkmv Calculate the loglikeligood for a general mixed model
sigcovfuncs_cppforR Covariance and Sigma Functions
SAMM-package SAMM
SAMM Some Algoritms for Mixed Models
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Details

Type Package
Date 2018-11-22
License GPL-3
LinkingTo Rcpp, RcppArmadillo
NeedsCompilation yes
Packaged 2018-12-05 18:33:35 UTC; deniz
Repository CRAN
Date/Publication 2018-12-06 16:30:02 UTC
imports Rcpp (>= 0.12.4)
linkingto RcppArmadillo
Contributors Deniz Akdemir

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