Skip to content

v1.1.2
Compare
Choose a tag to compare
@nicholasjclark nicholasjclark released this 01 Jul 23:27
· 152 commits to master since this release
v1.1.2
748a46a

This version brings several new features and efficiency improvements

  • Added options for silencing some of the 'Stan' compiler and modeling messages using the silent argument in mvgam()
  • Moved a number of packages from 'Depends' to 'Imports' for simpler package loading and fewer potential masking conflicts
  • Improved efficiency of the model initialisation by tweaking parameters of the underlying 'mgcv' gam object's convergence criteria, resulting in much faster model setups
  • Added an option to use trend_model = 'None' in State-Space models, increasing flexibility by ensuring the process error evolves as white noise (#51)
  • Added an option to use the non-centred parameterisation for some autoregressive trend models,
    which speeds up mixing most of the time
  • Updated support for multithreading so that all observation families (apart from nmix()) can now be modeled with multiple threads
  • Changed default priors on autoregressive coefficients (AR1, AR2, AR3) to enforce
    stationarity, which is a much more sensible prior in the majority of contexts
  • Fixed a small bug that prevented conditional_effects.mvgam() from handling effects with three-way interactions
Assets 2
Loading