## News

### pqrBayes 1.2.1 \[2026-03-14]

* Fixed minor bugs.

### pqrBayes 1.2.0 \[2025-12-07]

* Updated pqrBayes function with robust Bayesian regression with the horseshoe family of (horseshoe, horseshoe+ and regularized horseshoe) priors and 3 non-robust alternatives.

### pqrBayes 1.1.4 \[2025-07-25]

* Updated references and annotations of examples.

### pqrBayes 1.1.2 \[2025-03-31]

* Updated pqrBayes function with robust Bayesian group LASSO and 3 alternative models.

### pqrBayes 1.1.1 \[2025-02-22]

* Updated pqrBayes function with burn-in and spline parameters.
* Fixed bugs in the simulation example under high-dimensional linear regression model.
* Clarified the intercept in sparse linear and VC models in the User's manual.

### pqrBayes 1.1.0 \[2025-02-16]

* Added functions to fit robust sparse Bayesian linear models and their non-robust counterparts.
* Added functions to compute empirical coverage probabilities of sparse regression coefficients under linear models.
* Added examples to reproduce the inference results from Fan et al. (2024).

### pqrBayes 1.0.5 \[2025-02-05]

* Fixed bugs in the simulation example under quantile VC model.

### pqrBayes 1.0.4 \[2025-01-24]

* Added functions to compute empirical coverage probabilities of sparse quantile varying coefficients.
* Added examples to reproduce the inference results from Zhou et al. (2023).
* Kun Fan is listed as the leading author of the package.

### pqrBayes 1.0.3 \[2024-12-20]

* Fixed the issue of no output in the VCselect() function and added examples.
* Updated the list of pqrBayes output objects.
* Added non-robust sparse VC models with examples.
* Updated the documentation.
* Kun Fan is added as a new contributor for developing and maintaining the package.

### pqrBayes 1.0.2 \[2023-09-14]

* Initial release to CRAN.
* Included functions to fit robust sparse VC models (with or without spike-and-slab priors).
