Software

MLwiN A software package for fitting multilevel models. An important feature of MLwiN is its graphical interfaces. These allow the user easily to set up, fit and manipulate models. There are windows for data manipulation, plotting, viewing the progress of iterations etc. Predictions from fitted models can be specified directly using standard statistical notation with direct links to various kinds of derived graphs, which are automatically updated as model parameters change. Likewise, posterior residual estimates and functions of them can be linked directly to graphs, for example for model diagnostics.
- Multivariate models are simple to specify using a special input screen. Complex variance functions can be specified and the software will allow linear and non-linear modelling of variances as functions of explanatory variables with an interactive screen, which displays the resulting model in standard notation.
- Markov Chain Monte Carlo (MCMC) Bayesian modelling is incorporated with detailed visual diagnostics. Parametric nd non-parametric bootstrapping is available and an iterated bootstrap has been implemented for unbiased estimation with multilevel generalised linear models.
Realcom (Developing multilevel models for REAListically COMplex social science data) This software specialisses in three areas: models with responses at several levels of a data hierarchy, multilevel structural equation models, and measurement error modelling. The models developed under the project were estimated using Markov Chain Monte Carlo (MCMC) estimation.
- Realcom-Impute (Realcom macros with a menu interface are available for handling quite general missing data patterns. Specially written REALCOM macros with a menu interface are now available for handling quite general missing data patterns. These will deal properly with categorical as well as normal data and also with multilevel structures. The model of interest is first set up in MLwiN in the usual way and then the variables exported to REALCOM-IMPUTE and then the imputed datasets returned to MLwiN where they will be fitted and combined automatically for the specified model of interest.
MLPowSim Application for performing sample size/power calculations in multilevel models via simulation
runmlwin is a Stata command to fit multilevel models in MLwiN from within Stata.