Changes in version 1.0.0 (2023-11-17)                  

  - The package is considered stable enough to be used in production
  - New maintainer

                        Changes in version 0.4.5                        

  - Bugfix: additional outputs are indeed passed on to a custom display
    function (Issue #13 raised by @Dmitrilbr, Bugfix in PR #14)

                 Changes in version 0.4.4 (2022-09-19)                  

  - Adaptation to the upcoming Matrix 1.5

                 Changes in version 0.4.3 (2021-11-10)                  

  - Remove the giveCsparse warning (appeared with Matrix 1.3 shipped
    with R 4.0) (issue #7)
  - Fix the discretization problem with qualitative variables with one
    modality (issue #8), thanks to @ThomasDeroyon

                 Changes in version 0.4.2 (2021-09-07)                  

Change maintainer e-mail address.

                 Changes in version 0.4.1 (2019-12-16)                  

Debug against R-devel: as of R 4.0.0, class(.) on a matrix object has
length > 1.

                 Changes in version 0.4.0 (2018-08-31)                  

  - Breaking: Heavy remanufacturing of define_variance_wrapper
    
      - New: technical_data argument offers a more consistent way to
        include technical data within the enclosing environment of the
        wrapper. objects_to_include is kept for non-data objects (such
        as additional statistic wrappers) or advanced customization.
      - New: technical_param argument offers a more convenient way to
        specify default values for parameters used by the variance
        function.
      - New: reference_weight replaces default$weight. This means that
        the reference weight used for point estimation and linearization
        is set while defining the variance wrapper and not at run-time.
      - Deprecated: stat, which was a remain of an early implementation
        of linearization functions, is not a parameter of the variance
        wrappers anymore. Its purpose (to apply a given variance wrapper
        to several variables without having to type the name of the
        linearization wrapper) is now covered by the standard evaluation
        capabilities of statistic wrappers (see below).
      - Deprecated: default is replaced by default_id, as default$weight
        and default$stat are no longer needed. As for default$alpha, its
        value is set to 0.05 and cannot be changed anymore while
        defining the variance wrapper (as this can easily be done
        afterwards using formals<-).
      - Deprecated: objects_to_include_from

  - Breaking: Rebranding and heavy remanufacturing of
    define_statistic_wrapper (previously known as
    define_linearization_wrapper), added support for standard evaluation
    (see define_variance_wrapper examples).

  - New: the qvar function allows for a straigthforward variance
    estimation in common cases (stratified simple random sampling with
    non-response through reweighting and calibration) and performs both
    technical and methodological checks.

  - Some normalization in function names: add0 becomes add_zero, sumby
    becomes sum_by, rescal becomes res_cal

  - Example data: calibration variables in ict_sample instead of
    ict_survey, new LFS example data

  - Significant increase of unit tests

                        Changes in version 0.3.1                        

  - Hotfix: Add calibrated weights to define_variance_wrapper example.

                 Changes in version 0.3.0 (2018-06-06)                  

  - Simulated data added
  - Significant increase of unit tests
  - Documentation completed
  - Simplification of the structure of the main object processed by the
    variance wrapper
  - Removal of unnecessary arguments in linearization wrappers
  - Removal of the linerization wrappers for the Laeken indicators based
    on the vardpoor package (better integration in a future release)
  - Preparation for a first CRAN release

                        Changes in version 0.2.7                        

  - Now linearization with all data parameters set to NULL are discarded
    from the estimation.

                        Changes in version 0.2.6                        

  - Bug fix: evaluation of variables can occur either in the data
    argument or in the evaluation environment (envir argument)

                     Changes in version 0.2.3-0.2.5                     

  - Several attempts to output more metadata from linearization
    functions.
  - At the end : ratio() gains two metadata slots, est_num and est_denom

                        Changes in version 0.2.2                        

  - Minor bug fixes

                        Changes in version 0.2.1                        

  - Beginning of the documentation
  - Renaming of numerous functions and arguments
  - Change the precalc structure in varDT
  - Normalize the treatment of weights
  - New linearization wrappers: gini() and arpr()

                     Changes in version 0.1.3-0.1.7                     

  - No more dependency to package pryr
  - Add the generalized inverse in varDT
  - Other bug fixes