Changes in version 2.0.1 - Updated README.md to be more informative, as well as include multivariate case - Fixed an issue with the distribution of the latent variables in shrinkMVGPR causing lack of convergence in some cases - Fixed a bug that didn't allow for covariates in the mean formula to be used in gen_marginal_samples() Changes in version 2.0.0 (2026-03-30) - Potentially breaking change: Changed name of global shrinkage parameter from lambda to tau, as to be more consistent with references - Added support for multivariate GPR and TPR under shrinkage - Added method to save and load model objects - Overhauled documentation to be more informative, including model specification - Fixed various bugs - Fixed issues on CRAN with examples being run when torch is not installed Changes in version 1.1.3 - Fixed issues on CRAN with examples being run when torch is not installed Changes in version 1.1.2 - Moved to torch for R version >= 0.16.0 - Made training loop more numerically robust by falling back on robust Cholesky decomposition - Fixed error in documentation for sylvester flows - Fixed issues on CRAN with examples being run when torch is not installed Changes in version 1.1.1 (2025-10-01) - Fixed typo in prior on global shrinkage parameters - Fixed error when generating posterior samples with (optional) linear mean equation - Wrapped JIT compilation in torch::torch_is_installed() check to avoid errors when torch is not installed Changes in version 1.1 (2025-08-19) - Added student-t process as in Shah et al. (2014) as alternative to Gaussian process - Added option to estimate simulated data with multicollinearity - Added ability to estimate marginal effects of one or two parameters and associated plotting functions - Increased speed of estimation through use of JIT compiled torchscript - Changed default number of householder transformations in Sylvester flows to be min(5, d-1) - Corrected documentation for mean equation in shrinkGPR - Fixed bug in TG/NGG density in GPR_class