cAIC4

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Conditional Akaike Information Criterion for 'lme4' and 'nlme'

Benjamin Saefken

Last update: 22 September 2021

Copyright license: GNU General Public License, version 3.0, GNU General Public License, version 2.0

Software version identifier: 1.0

Source code repository: https://github.com/cran/cAIC4

Cites work

• Conditional Model Selection in Mixed-Effects Models with cAIC4

Related Items (6)

Bayesian model selection in linear mixed models for longitudinal data ⋮ A scalable and efficient covariate selection criterion for mixed effects regression models with unknown random effects structure ⋮ fastFMM ⋮ Selective inference for additive and linear mixed models ⋮ Model averaging for linear mixed models via augmented Lagrangian ⋮ Multi-level block designs for comparative experiments

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