Posterior distribution in the Black-Litterman model is computed from a prior distribution given in the form of a time series of asset returns and a continuous distribution of views provided by the user as an external function.
https://anaconda.org/r_test/r-blmodel/badges/version.svg
https://anaconda.org/r_test/r-blmodel/badges/latest_release_date.svg
https://anaconda.org/r_test/r-blmodel/badges/latest_release_relative_date.svg
https://anaconda.org/r_test/r-blmodel/badges/platforms.svg
https://anaconda.org/r_test/r-blmodel/badges/license.svg
https://anaconda.org/r_test/r-blmodel/badges/downloads.svg