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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
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.