github paul-buerkner/brms v0.4.0
brms 0.4.0

latest releases: v2.21.0, v2.20.3, v2.19.0...
8 years ago

new features

  • implement the Wakanabe-Akaike Information Criterion (WAIC)
  • implement the ||-syntax for random effects allowing for the estimation of random effects standard deviations without the estimation of correlations.
  • allow to combine multiple grouping factors within one random effects argument using the interaction symbol ':'
  • generalize S3 method 'hypothesis' to be used with all parameter classes not just fixed effects. In addition, one-sided hypothesis testing is now possible.
  • introduce new family 'multigaussian' allowing for multivariate normal regression.
  • introduce new family 'bernoulli' for dichotomous response variables as a more efficient alternative to families 'binomial' or 'categorical' in this special case.

other changes

  • slightly change the internal structure of brms to reflect that rstan is finally on CRAN.
  • thoroughly check validity of the response variable before the data is passed to Stan.
  • prohibit variable names containing double underscores '__' to avoid naming conflicts.
  • allow function calls with several arguments (e.g. poly(x,3)) in the formula argument of function 'brm'.
  • always center random effects estimates returned by S3 method 'ranef' around zero.
  • prevent the use of customized covariance matrices for grouping factors with multiple random effects for now.
  • remove any experimental JAGS code from the package.

bug fixes

  • fix a bug in S3 method 'hypothesis' leading to an error when numbers with decimal places were used in the formulation of the hypotheses.
  • fix a bug in S3 method 'ranef' that caused an error for grouping factors with only one random effect.
  • fix a bug that could cause the fixed intercept to be wrongly estimated in the presence of multiple random intercepts.

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