Changes in version 1.1.3 (2025-11-09)                  

Fixes:

  - Minor compatibility error with the autoplot.ts documentation.
  - Minor fix with the package's description.

Changes:

  - refactor epps.statistic using optim's quadratic optimization
  - use 'Nelder-Mead" simplex optimization for the Epps statistic

depreated:

  - amoebam method for optimazing the Epp's test.

                 Changes in version 1.1.2 (2024-01-25)                  

Fixes:

  - Minor bug fix with seed when running rp tests using parallel
    programming.
  - Minor bug fix with seed when running bootstrap tests using parallel
    programming.

                 Changes in version 1.1.1 (2024-01-24)                  

Fixes:

  - use cowplot package for the check_residuals plot function.
  - Update rejection_rate and rejection_table functions to be more
    efficient.
  - Increase time compilation checks for test-performance to 30s and
    test-basics to 15s.
  - change the rp.sample function. It computes 2k projections and apply
    epp.statistic to odd projections and lobato.statistics to the even
    ones.

                 Changes in version 1.1.0 (2024-01-16)                  

Features:

  - Add initial values as an argument to the Epps and Pulley test.
  - Add the bivariate elbouch.test().
  - Add the lobato-bootstrap.test().
  - Add the epps-bootstrap.test().
  - Add the jb-bootstrap.test().
  - Add the shapiro-bootstrap.test().
  - Add the cvm-bootstrap.test().
  - Add unit testing for a better debug practices.

Fixes:

  - Update documentation for Lobato, RP, Epps, and Vavra tests. Better
    description to the return value, having a similar formatting to the
    t.test() function.
  - Update documentation for normal.test, seasonal.test, and uroot.test.
    Better description to the return value, having a similar formatting
    to the t.test() function.
  - Fix the htest print method for the random projections test. The
    function does not print the average Epps and Lobato's statistics.

Changes:

  - Use Hochberg's False discovery rate method as default to mix
    p.values, when applying the rp.test().
  - Refactor the lobato.statistic() using less for loops.
  - Refactor the epps.statistic() using less for loops.
  - Speed up vavra.test() and rp.test() by replacing for loops with
    parallel vectorized computation.

                 Changes in version 1.0.3 (2021-08-16)                  

Features:

Changes:

Fixes:

  - Fix documentation.
  - Update p-values mixing method using a False discovery rates, and
    Benjamin and Yekutieli (2001) procedures.
  - update the random projections procedure for the rp.test.

                 Changes in version 1.0.1 (2021-06-17)                  

Features:

  - Add GPL-2 license.

Changes:

  - False discovery rate set as default for the random projections test

  - Change "NA %in$ y" to "anyNA(y)"

  - use match.args() function for more flexibility

Fixes:

  - Bug fix for the False discovery rate.

                 Changes in version 1.0.0 (2020-07-27)                  

Fixes:

  - Bug fix for CRAN submission.

Fixes:

  - Bug fix for CRAN submission.

Features:

  - vavra.test() function for the Psaradakis and Vávra test.

  - sieve.bootstrap() function for bootstrap sub-sample in stationary
    time series.

  - vavra.sample() function for the Anderson Darling sample statistics
    for the Psaradakis and Vávra test.

  - rp.test() function for the random projections test.

  - rp.sample() function for the random projections statistics samples.

  - random.projection() function to generate a random projection of a
    stationary process.

  - gghist(), ggnorm(), ggacf() and ggpacf() function for visualization.

Improvements:

  - epps.statistic() bug fixed.

  - package documentation, errors, warnings and notes corrected.

Changes:

  - plot.compare() function deleted

  - epps.statistic() using the PoweR package deleted.

Fixes:

  - The amoebam algorithm for epps.statistic() is corrected.

                      Changes in version 0.0.1.000                      

Features:

  - normal.test() function with all the normality test available

  - uroot.test() function with all the unit root test available

  - seasonal.test() function with all the seasonal unit root test
    available

  - arch.test() function with the arch effect test for stationarity

  - check_plot() methods implemented for residual diagnostics
    visualization for lm, glm, ets, forecast, Arima, arima0, fgarch,
    HoltWinters, ts, and numeric classes

  - check_residuals() methods implemented for residual diagnostics for
    lm, glm, ets, forecast, Arima, arima0, fgarch, HoltWinters, ts, and
    numeric classes

  - the autoplot() methods are overloaded for plotting time series (ts)
    and multivariate (mts) classes

Improvements:

  - lobato.test() is implemented as a htest method

  - epps.test() is implemented as a htest method

Changes:

  - LV.statistic() function change to lobato.statistic()

Fixes:

  - The amoebam algorithm for Epps.statistic() is changed for the one
    implemented by the PoweR package

Features:

  - Updated the epps.statistic function

  - Updated the LV.statistic function

  - Perform documentation and package description

Features:

  - Package Repository created

  - Discussion of the previous work and code homogeneity check README.md

  - Incorporation of references and latex thesis algorithm

  - Incorporation of the article structure