A generic toolkit for multivariate fitting designed with template metaprogramming

We present a toolkit developed to perform Unbinned Maximum Likelihood and Chi-square fits for parameters and yields estimates. The design of the toolkit is based on template metaprogramming in order to provide users with a generic interface to minimization tools. The default implementation is based on ROOT wrapper of MINUIT. Commonly used Probability Density Functions (PDFs) are provided with the toolkit and users may add custom PDFs for their own analysis. Description of fit models can be done using a package for symbolic manipulation of analytic functions.