Changes in version 0.2.2.9000                      

                 Changes in version 0.2.2 (2025-03-08)                  

Minor Changes

  - The plot.nppi() function now returns an additional plot for JAB
    Pseudo Value Stability.

Bug Fixes

  - In nppi() there was an inconsistency in dimensionality between the
    jab_point_values and the jab_pseudo_values due to how NA values were
    handled. This is fixed such that both vectors will always have the
    same length.

                 Changes in version 0.2.1 (2025-03-08)                  

Minor Changes

  - The nppi() function now returns an additional item in the nppi
    object: jab_pseudo_values which include the ith MBJ pseudo-value
    used in the JAB variance estimator.

Bug Fixes

  - In nppi() there was an incorrect computation of the JAB variance
    estimator, which did use the ith MBJ pseudo-value in place of the
    the ith MBJ point value. This is now fixed.

                 Changes in version 0.2.0 (2025-02-17)                  

New features

  - A new function nppi() has been added to the package. This function
    estimates the optimal block-length using the non-parametric plug-in
    (NPPI) method of Lahiri, Furukawa, Lee, (2007).

  - A new S3 plot method plot.nppi() has been added to the package. This
    function outputs a diagnostic plot for JAB point values calculated
    from the above nppi() function.

                 Changes in version 0.1.5 (2022-03-02)                  

  - Minor adjustments to documentation per CRAN requests.

                 Changes in version 0.1.4 (2021-05-12)                  

Bug Fixes

  - In pwsd(), m_hat was indexing the first insignificant lag of the
    correlation structure rather than the first significant lag prior to
    the consecutive run of insignificant lags.

  - pwsd() and plot.pwsd() now output significance bands that match
    rho_k_critical exactly. Prior to this, the significance bands on the
    correlogram output were generated using the plot.acf(ci = ) argument
    which led to misleading graphical representations of the implied
    hypothesis test's critical value in the PWSD method.

  - In hhj(), sub_block_length has been changed to sub_sample to avoid
    confusion with the other tuning parameter, pilot_block_length

Minor Changes

  - A new vignette has been included on tuning and diagnosing
    problematic output from the selection functions!

  - pwsd() now includes a new argument to override the implied
    hypothesis test by setting m_hat directly.

  - In pwsd(), rho.k.critical has been changed to snake case
    rho_k_critical in the $parameters matrix from output of class 'pwsd'
    objects from pwsd().

  - In hhj(), if subsample =  is set directly it is now rounded to the
    nearest whole number.

  - plot.pwsd() now includes "darkmagenta" significance lines to match
    pwsd().

  - plot.pwsd() now explicitly includes an option to customize title
    with main = .

  - hhj() now includes a warning message if the supplied iteration limit
    n_iter is reached but still outputs an object of class 'hhj.'

                 Changes in version 0.1.3 (2021-02-25)                  

  - This is the first submission accepted to CRAN
  - Minor changes to documentation and testing of examples

                        Changes in version 0.1.0                        

  - This is the first submission of blocklength package.