brms 0.6.0

new features

• add support for zero-inflated and hurdle models
• implement inverse gaussian models through family inverse.gaussian
• allow to specify truncation boundaries of the response variable
• add support for autoregressive (AR) effects of residuals, which can
  be modeled using the cor_ar and cor_arma functions
• stationary autoregressive-moving-average (ARMA) effects
  of order one can now also be fitted using special covariance matrices
• implement multivariate student-t models
• binomial and ordinal families now support the cauchit link function
• allow family functions to be used in the family argument
• easy access to various rstan plotting functions
  using the stanplot method
• implement horseshoe priors to model sparsity in
  fixed effects coefficients
• automatically scale default standard deviation priors so that
  they remain only weakly informative independent on the response scale
• report model weights computed by the loo package when comparing
  multiple fitted models

other changes

• separate the fixed effects Intercept from other fixed effects
  in the Stan code to slightly improve sampling efficiency
• move autoregressive (AR) effects of the response from the cor_ar
  to the cor_arr function as the result of implementing
  AR effects of residuals
• improve checks on argument newdata used in the
  fitted and predict method
• method standata is now the only way to extract data
  that was passed to Stan from a brmsfit object
• slightly improve Stan code for models containing no random effects
• change the default prior of the degrees of freedom of the
  student family to gamma(2,0.1)
• improve readability of the output of method VarCorr
• export the make_stancode function to give users
  direct access to Stan code generated by brms
• rename the brmdata function to make_standata.
  The former remains usable as a deprecated alias
• improve documenation to better explain differences in
  autoregressive effects across R packages

bug fixes

• fix a bug that could cause an unexpected error
  when predict is called with new data
• avoid side effects of the rstan compilation routines that could
  occasionally cause R to crash
• make brms work correctly with loo version 0.1.3
• fix a bug that could cause WAIC and LOO estimates to be slightly
  incorrect for gaussian models with log link