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toolbox for the statistical analysis of univariate and multivariate surface and volumetric neuroimaging data using linear mixed effects models and random field theory, but more generally in the fitlme package for modeling linear mixed effects models in a domain-general way.
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calculated from the data, and the likelihood function is calculated from the probability distribution of these contrasts, according to the model for the complete data set. In particular, REML is used as a method for fitting linear
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in 1937. The first description of the approach applied to estimating components of variance in unbalanced data was by
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Harville, D. A. (1977). "Maximum
Likelihood Approaches to Variance Component Estimation and to Related Problems".
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estimation that does not base estimates on a maximum likelihood fit of all the information, but instead uses a
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Patterson, H. D.; Thompson, R. (1971). "Recovery of inter-block information when block sizes are unequal".
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in 1971, although they did not use the term REML. A review of the early literature was given by
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Bartlett, M. S. (1937). "Properties of
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Estimating variances and covariances (broken, original link)
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REML estimation is available in a number of general-purpose
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packages), as well as in more specialist packages such as
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estimation, the original data set is replaced by a set of
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The idea underlying REML estimation was put forward by
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131:JMP (statistical software)
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121:(the MIXED procedure),
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418:-related article is a
388:"fitlme Documentation"
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117:(the REML directive),
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269:1937RSPSA.160..268B
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81:maximum likelihood
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189:References
141:and older
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29:statistics
72:contrasts
210:(2006).
178:Surfstat
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220:ISBN
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