Changes in version 1.2.4 (2026-01-11)                  

Bug fixes and minor improvements

  - Implements the patch described in Rcpp Issue #1406 to avoid masking
    of Rf_error().

                 Changes in version 1.2.3 (2023-12-02)                  

Bug fixes and minor improvements

  - The issue described at https://github.com/RcppCore/Rcpp/issues/1287
    has been fixed to avoid WARNINGs from CRAN checks on some platforms.
    Thank you to Dirk Eddelbuettel for providing the fix so quickly!

  - Fixed issues with the incorrect use of \itemize in some Rd files.

                 Changes in version 1.2.2 (2023-09-10)                  

Bug fixes and minor improvements

  - If the argument k = 0 is supplied to kgaps() then an estimate of 1
    is returned for the extremal index for any input data. For this very
    special case the estimated standard error associated with this
    estimate is set to zero and confidence intervals have a width of
    zero.

  - Corrected a typing error in the description of uprob in the
    documentation for plot.choose_uk() and plot.choose_ud().

  - The unnecessary C++11 specification has been dropped to avoid a CRAN
    Package Check NOTE.

  - README.md: Used app.codecov.io as base for codecov link.

  - Create the help file for the package correctly, with alias
    exdex-package.

                 Changes in version 1.2.1 (2022-04-16)                  

New features

  - A new estimator has been implemented, based on what we will call the
    D-gaps model of Holesovsky, J. and Fusek, M. Estimation of the
    extremal index using censored distributions. Extremes 23, 197–213
    (2020). doi: 10.1007/s10687-020-00374-3

Bug fixes and minor improvements

  - The value returned by nobs.kgaps() was incorrect in cases where
    there are censored K-gaps that are equal to zero. These K-gaps
    should not contribute to the number of observations. This has been
    corrected.

  - In cases where the data used in kgaps are split into separate
    sequences, the threshold exceedance probability is estimated using
    all the data rather than locally within each sequence.

  - A logLik method for objects inheriting from class "kgaps" has been
    added.

  - In the (unexported, internal) function kgaps_conf_int() the limits
    of the confidence intervals for the extremal index based on the
    K-gaps model are constrained manually to (0, 1) to avoid problems in
    calculating likelihood-based confidence intervals in cases where the
    the log-likelihood is greater than the interval cutoff when theta
    = 1.

  - In the documentation of the argument k to kgaps() it is noted that
    in practice k should be no smaller than 1.

  - The function kgaps() also return standard errors based on the
    expected information.

  - In the package manual related functions have been arranged in
    sections for easier reading.

  - Activated 3rd edition of the testthat package

                 Changes in version 1.1.1 (2022-03-25)                  

New features

  - The functions kgaps(), kgaps_imt() and choose_uk() can now accept a
    data argument that
      - is a matrix of independent subsets of data, such as monthly or
        seasonal time series from different years,
      - contains missing values, that is, NAs.
  - A new dataset cheeseboro is included, which is a matrix containing
    some missing values.
  - In addition to kgaps(), the functions kgaps_imt() and choose_uk()
    now have an extra argument inc_cens, which allows contributions from
    censored K-gaps to be included in the log-likelihood for the
    extremal index.
  - The default value of inc_cens in kgaps() (and in kgaps_imt() and
    choose_uk()) is now inc_cens = TRUE.

Bug fixes and minor improvements

  - Plot and print methods have been added for objects of class
    "confint_gaps" returned from confint.kgaps().
  - In confint.spm() and confint.kgaps() the input confidence level is
    included in the output object.

                 Changes in version 1.0.1 (2019-08-06)                  

Bug fixes and minor improvements

  - An overloading ambiguity has been corrected to ensure installation
    on Solaris.