mvgam 1.1.2

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

mvgam 1.1.1

Changed indexing of an internal c++ function after Prof Brian Ripley’s
email: Dear maintainer, Please see the problems shown on https://cran.r-project.org/web/checks/check_results_mvgam.html. Please correct before 2024-05-22 to safely retain your package on CRAN. The CRAN Team