Changes in version 1.0.1 (2026-04-16)                  

  - Vignette for the function reconc_t.

  - Updated version of README

  - Fixed a bug in auxiliary function to reconc_t (.compute_naive_cov)
    that could cause major fail.

  - reconc_t now stops when Cholesky of the covariance fail, no longer
    returns a warning and tries another method.

  - Small fixes to uniform what is returned by the reconc_* functions.

                 Changes in version 1.0.0 (2026-03-08)                  

  - Major update to the API for the reconciliation functions that breaks
    older code. The inputs and outputs are now standardized.

  - Added the function reconc_t which implements the t-Rec method for a
    Bayesian treatment of the covariance of the residuals.

  - The function reconc_gaussian now takes as input the residuals and
    computes the covariance matrix internally.

  - Added the dataset swiss_tourism that contains time series of monthly
    overnight stay data in each Canton in Switzerland.

  - Added logo to the package

  - Major internal change to all reconc_* functions: the main algorithm
    is now developed in the functions .core_reconc_*, they are exported
    but do not appear in the main documentation.

  - Minor bug fixes in all functions.

                 Changes in version 0.3.3 (2025-07-21)                  

  - Minor bug fixes.

                 Changes in version 0.3.2 (2024-11-04)                  

  - Fixed issues in tests that would run into compatibility issues with
    the new version of waldo.

  - Added new tests for some limit usage of mixCond, TDcond and BUIS.

  - Added GitHub URL and BugReports URL to DESCRIPTION.

                 Changes in version 0.3.1 (2024-08-28)                  

  - IMPORTANT CHANGE IN THE API OF THE reconc_* functions: they now
    require the aggregation matrix A and not the summing matrix S.

  - The examples section of the reconc_TDcond now contains an example
    showing how to handle the case of an unbalanced hierarchy.

                 Changes in version 0.3.0 (2024-05-29)                  

  - Added reconc_MixCond, the implementation of Mixed conditioning for
    the reconciliation of mixed-type hierarchical forecasts.

  - Added reconc_TDcond, the implementation of Top-down conditioning for
    the reconciliation of mixed-type hierarchical forecasts.

  - Vignette "Reconciliation of M5 hierarchy with mixed-type forecasts".

  - Added functions PMF.get_mean, PMF.get_quantile, PMF.get_var,
    PMF.sample, PMF.summary that return point estimates and samples from
    a probability mass function object.

  - Added the dataset M5_CA1_basefc which contains the base forecasts
    for the store "CA1" of the hierarchical time series in the M5
    competition.

                 Changes in version 0.2.0 (2023-12-19)                  

  - Vignette "Properties of the reconciled distribution via
    conditioning".

  - Added option in reconc_BUIS to pass some base forecast as parameters
    and some as samples.

  - Added option in reconc_BUIS to input a list of distributions instead
    of a string.

  - Fixed bugs and closed github issues.

                 Changes in version 0.1.2 (2023-08-24)                  

  - Vignette "Probabilistic Reconciliation via Conditioning with
    bayesRecon".

  - Added the schaferStrimmer_cov function.

  - Fixed bugs.

                 Changes in version 0.1.1 (2023-06-09)                  

  - Added a NEWS.md file to track changes to the package.

  - Fixed issue that could cause test fails on some machines.

                 Changes in version 0.1.0 (2023-05-26)                  

  - Initial release of the package.