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mcgf 1.2.0
version 1.2.0
Miscellaneous
- Updated package documentation and vignettes for consistency and
clarity
- Added the reference to Jia and Sezer (2025) for regime-switching
spatio-temporal covariance models
- Corrected typographical, grammatical, and terminology errors
throughout the package
Function updates
- Standardized support and documentation for the exponential
Lagrangian correlation function
- Updated documentation for weighted least squares and approximate
conditional maximum likelihood estimation
- Improved documentation and argument descriptions for covariance,
fitting, and Kriging functions
Bug fixes
mcgf_sim: fixed handling of the default Lagrangian
model argument
- Improved covariance-matrix validation for maximum likelihood
estimation
- Fixed issues in distance assignment and Kriging functions for
existing and new locations
- Improved input validation and error handling across model fitting
and forecasting functions
version 1.1.1
Function updates
- added
dists_new_base argument to
krige_new.mcgf
Bug fixes
.find_dists: fixed an argument bug for
names
obj_mle: NA values are removed in llike
version 1.1.0
Miscellaneous
- New vignettes for regime-switching models
- Updated description and modified reference
- Updated simulated samples throughout the package to allow new
locations
New functions
- R/krige_new.R
- R/find_dists_new.R
- R/cor_lagr_exp.R
Function updates
- added exponential function for the Lagrangian model
- added two arguments to mcgf()
Bug fixes
find_dists: fixed bug for computing long/lat
distnaces
add_lagr: dists_base ->
dists_lagr
New features
- Kriging for new locations are supported
- Exponential Lagrangian correlation function added
version 1.0.1
New functions
Function updates
- added arguments to
check_dist_sign and
check_dist
Bug fixes
fit_lagr: fixed check_dist for
dists_lagr
add_lagr: dists_base ->
dists_lagr
version 1.0.0
version 0.0.0.9000
NEWS.md setup
- added NEWS.md creation with newsmd
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.