Once the data, covariance matrix, and theory parameters have be set, the user can run a likelihood analysis to find the best-fitting theory parameters. This can be done using the MCMC technique or nonlinear optimization using the LBFGS algorithm. In this section, we describe how to run both algorithms with the rsdfit
executable, as well as the configuration options for both algorithms.
driver-overview.rst driver-mcmc.rst driver-nlopt.rst driver-api.rst