HLM6 1: HLM 6 new features

• Graphical feature : box-plot, scatter-plot, cubic splines for original data can be plotted and grouped by higher-level factors. Also, the plots are color-coded. Also, residuals of level-1 can be color-plotted within higher level factors.
• Model presentation: Multiple-level model equations (several separate model equations) and mixed model equation (one combined equation) can be present with or without subscripts. Distribution assumptions and link functions can be presented in detail, in which even the factor’s centered-method (group or grand mean centered) can be distinguished.
• New algorithm method, such as Laplace approximation, is applied for stable convergence and accurate estimation in two-level hierarchical generalized linear models (HGLM).
• Data can be imported from different types of statistical package, such as, SAS, SPSS and Excel. And residuals can be easily saved as other data files, such as .sav and .dta etc..