+1 862 207 3288 It covers different types of linear models such as univariate and multivariate regression methods like- ANOVA, ANCOVA, MANOVA and MANCOVA.
GLM offers many commonly used contrasts such as simple, difference, polynomial contrasts for the repeated measurements.
It fits repeated measure models with constant covariates.
It uses full-parameterization approach to handle matrix form of along with indicator variables to handle empty cell problems.
It uses weighted least squares to estimate model parameters.
It searches correct error term for each effect in the fixed model.
We can specify custom hypothesis tests.
GLM provides estimated marginal means for the dependent variables. It offers 18 posts – hoc tests of observed means.
It provides 3 types of plots: spread residual and profile plots. The spread plot shows observed cell means vs. standard deviation whereas, residual plots observed variations in model. The profile plot provides estimated means of dependent variable.
