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`

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

`pwsd()`

now includes a new arguement to overide 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.’

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

- This is the first submission of blocklength package.