**Packages NEWS and Updates**
============

**nortsTest 1.1.3 Date: 12/11/2025**
----------------------------------

### 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.

**nortsTest 1.1.2 Date: 25/01/2024**
----------------------------------

### 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.

**nortsTest 1.1.1 Date: 23/01/2024**
----------------------------------

### 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.

**nortsTest 1.1.0 Date: 16/01/2024**
----------------------------------

### 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.

----------------------------------

**nortsTest 1.0.3 Date: 12/06/2021**
----------------------------------

### 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.

----------------------------------

**nortsTest 1.0.1 Date: 17/06/2021**
----------------------------------

### 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.


**nortsTest 1.0.0 Date: 08/07/2020**
----------------------------------

### Fixes:

- Bug fix for CRAN submission.


**nortsTest 1.0.0 Date: 12/06/2020**
----------------------------------

### Fixes:

- Bug fix for CRAN submission.


**nortsTest 1.0.0 Date: 09/05/2020**
----------------------------------

### 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.


**normality 0.0.1.000 Date: 12/03/2020**
----------------------------------

### 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


**normality 0.0.1.000 Date: 23/10/2020**
----------------------------------

### Features:

-  Updated the epps.statistic function

-  Updated the LV.statistic function

-  Perform documentation and package description


**normality 0.0.1.000 Date: 22/10/2020**
----------------------------------

### 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
