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NEWS.md
In shrinkGPR: Scalable Gaussian Process Regression with Hierarchical Shrinkage Priors
Changes in Version 1.1:
- 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
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shrinkGPR documentation built on Aug. 21, 2025, 5:43 p.m.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Changes in Version 1.1:
- 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
Try the shrinkGPR package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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