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
mvgam 1.1.0
- First release of
mvgam to CRAN