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,...).

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Description file content

Package
SAMM
Type
Package
Title
Some Algorithms for Mixed Models
Version
1.1.1
Date
2018-11-22
Author
Deniz Akdemir
Maintainer
Deniz Akdemir
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,...).
License
GPL-3
Imports
Rcpp (>= 0.12.4)
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

install.packages('SAMM')

1.1.1

3 days ago

Deniz Akdemir

GPL-3

Imports

Rcpp (>= 0.12.4)

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