Fisher Scoring for crossed factor linear mixed models

  title={Fisher Scoring for crossed factor linear mixed models},
  author={Thomas Maullin-Sapey and Thomas E. Nichols},
  journal={Statistics and Computing},
The analysis of longitudinal, heterogeneous or unbalanced clustered data is of primary importance to a wide range of applications. The linear mixed model (LMM) is a popular and flexible extension of the linear model specifically designed for such purposes. Historically, a large proportion of material published on the LMM concerns the application of popular numerical optimization algorithms, such as Newton–Raphson, Fisher Scoring and expectation maximization to single-factor LMMs (i.e. LMMs that… 
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