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

misc/update_NEWS.R

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

Initial CRAN submimssion

version 0.0.0.9000

NEWS.md setup

added NEWS.md creation with newsmd