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SAMM (version 1.1.1)

Some Algorithms for Mixed Models

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,...).

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Version

Install

install.packages('SAMM')

Monthly Downloads

41

Version

1.1.1

License

GPL-3

Maintainer

Deniz Akdemir

Last Published

December 6th, 2018

Functions in SAMM (1.1.1)

loglikfuncmmmkmv

Calculate the loglikeligood for a general mixed model
sigcovfuncs_cppforR

Covariance and Sigma Functions
SAMM-package

SAMM
SAMM

Some Algoritms for Mixed Models