brms 1.5.1

new features

• Allow horseshoe and lasso
  priors to be applied on population-level effects
  of non-linear and auxiliary parameters.
• Force recompiling Stan models
  in update.brmsfit via argument
  recompile.

other changes

• Avoid indexing of matrices in non-linear
  models to slightly improve sampling speed.

bug fixes

• Fix a severe problem (introduced in version 1.5.0),
  when predicting Beta models thanks to Vivian Lam.
• Fix problems when summarizing some models
  fitted with older version of brms thanks
  to Vivian Lam.
• Fix checks of argument group in
  method pp_check thanks to Thomas K.
• Get arguments subset and nsamples
  working correctly in marginal_smooths.