The Iris Toolbox is a macroeconomic modeling package for Matlab developed by the Iris Solutions Team since 2001.
Iris provides tools to support the typical workflows in the theoretical development and practical operation of macroeconomic models and model-based production frameworks. In a seamless command line oriented interface, the toolbox integrates the following four broad areas:
Tools for development, implementation, diagnosis, and operation of advanced macro models, including nonlinear nonstationary models with forward-looking (model-consistent, rational) expectations, or systems of nonlinear empirical equations.
Tools for estimation, diagnosis and operation of empirical univariate and multivariate time series models with focus on dimension reduction, such as VAR, bayesian VAR or dynamic factor models.
Data management and time series processing functions optimized for use in practical macroeconomic models.
Frameworks for the on-screen and HTML visualization of results.
Furthermore, Iris offers a number of utility functions to make macroeconomic modeling more convenient in Matlab:
Shrinkage estimation tools include bayesian techniques with individual and system priors for structural models, and prior dummy observations for vector autoregression models.
Utilities to support data visualization and text processing.