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Fits marginal models, by default using maximum likelihood.
● Data Source:
CranContrib
● Keywords: univar
● Alias: MarginalModelFit
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Returns the simultaneous specification of two models
● Data Source:
CranContrib
● Keywords: univar
● Alias: JoinModels
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Returns marginal matrix; i.e., matrix required to obtained marginal frequencies
● Data Source:
CranContrib
● Keywords: univar
● Alias: MarginalMatrix
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Returns hierarchical model design matrix
● Data Source:
CranContrib
● Keywords: univar
● Alias: DesignMatrix
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Returns the direct sum of two matrices.
● Data Source:
CranContrib
● Keywords: univar
● Alias: DirectSum
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Gives sample values, standard errors and z-scores of one or more coefficients. SampleStatistics(dat,coeff) gives exactly the same output as ModelStatistics(dat,dat,"SaturatedModel",coeff).
● Data Source:
CranContrib
● Keywords: univar
● Alias: SampleStatistics
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Returns hierarchical model constraint matrix, i.e., nullspace of design matrix
● Data Source:
CranContrib
● Keywords: univar
● Alias: ConstraintMatrix
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If fitted frequencies under a model have been calculated, this procedure can be used to give sample values, fitted values, estimated standard errors, z-scores and adjusted residuals of one or more coefficients.
● Data Source:
CranContrib
● Keywords: univar
● Alias: ModelStatistics
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Gives the generalized exp-log specification for various coefficients
● Data Source:
CranContrib
● Keywords: univar
● Alias: SpecifyCoefficient
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A package accompanying the book Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data by Bergsma, Croon, & Hagenaars, 2009. It's purpose is fitting and testing of marginal models.
● Data Source:
CranContrib
● Keywords: package
● Alias: cmm, cmm-package
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providing 
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