Version 1.0

Features

At the moment, the following features are implemented:

• multivariate and flat priors
• variables can be easily fixed without editing the glue code
• Fisher matrix approximation for likelihood and posterior
• Mathematica experimental Hessian
• Fisher and fast numerical evidence
• grid optimization with Fisher
• optimized parallel computation and exportation
• automatized exportation of results with consistent labeling
• confidence levels (actual and gaussian)
• combinations of triangular plots
• an mcmc sampler is not yet implemented; coming...