MCMCBenchmarkSuite (WIP) is suite of benchmark models designed to for use with the MCMCBenchmarks framework. The benchmark suite consists of models spanning a wide range of complexity. Each model is listed below, ordered approximately from simplest to most complex:
- Gaussian Model: simple two parameter Gaussian distribution
- Signal Detection Model: a simple model used in psychophysics and signal processing, which decomposes performance in terms of discriminability and bias
- Linear Regession Model
- Hierarchical Poisson Regression
- Linear Ballistic Accumulator: a cognitive model of perception and simple decision making.