Changes in version 2.0.1 (2026-02-17)                  

  - Fixed phantom observation variance bug in gplm0 and gplm: the
    phantom observation that centers the GP used zero variance, acting
    as an infinitely precise constraint that collapsed the posterior of
    b. Fixed by using the prior variance sig_b^2.
  - Fixed eta posterior scaling bug in plm and gplm: the standardized
    eta coefficients were not scaled by sigma_eta before applying the
    basis transformation P, resulting in incorrect B-spline coefficient
    posteriors.
  - Fixed sigma_beta back-transform bug in gplm0: stored values were
    sqrt(sigma_beta) instead of sigma_beta due to an incorrect
    sqrt(exp()) transform. This affected posterior summaries and plots
    for the sigma_beta parameter in the gplm0 model.
  - Updated reference in DESCRIPTION from arXiv preprint to the
    published Environmetrics paper (doi:10.1002/env.2711).

                 Changes in version 2.0.0 (2026-02-14)                  

  - Integrated C++ via Rcpp and RcppArmadillo packages for significant
    performance improvements.
  - Multiple functions rewritten in C++ to speed up the MCMC sampling
    algorithm and various other tasks.
  - The "Deviance" posterior output has been transformed and renamed
    "Posterior log-likelihood". The Deviance was previously calculated
    as -2 times the Posterior log-likelihood.
  - The plot(tournament_obj, type = "Deviance") figure is now created by
    evaluating plot(tournament_obj, type = "boxplot").
  - The log-likelihood of the models is now computed with the
    log-transformed discharge observations (normally distributed),
    rather than with discharge on the real scale (log-normally
    distributed).
  - Pointwise WAIC values (WAIC_i) stored to the model objects.
  - Implemented standard error computations for WAIC and Delta_WAIC
    estimates.
  - Applied log-sum-exp trick in WAIC and Bayes factor calculations for
    numerical stability.
  - Added DOI links to references.
  - Revised summary() output for tournament objects.
  - Updated package vignettes to reflect recent changes and
    improvements.

                 Changes in version 1.1.0 (2023-03-19)                  

  - The tournament function now supports information criteria (WAIC &
    DIC) as the model selection criteria, WAIC being the new default.
  - Six new real-world datasets from Iceland and Sweden containing
    paired observations of stage and discharge have be included in the
    package.
  - The package can now also be used in a user-friendly interactive
    rating curve builder Shiny application
    [https://bdrc.shinyapps.io/bdrc/].

                 Changes in version 1.0.0 (2021-07-28)                  

  - Release of the first version of the package.