[R] A humble request

Richard O'Keefe r@oknz @end|ng |rom gm@||@com
Sun Jul 3 06:11:25 CEST 2022

A postscript to my previous comment.
I used to supervise PhD students.
Let me advise you to write this issue up as a draft section for your thesis.
1. Why I wanted to use the wmtsa package.
2. Why I didn't.
3. How I went about selecting a replacement.
4. What I chose and why that's the right choice.
5. How the analyses I wanted to do are done in
   package X and what difference it makes.

Off the top of my head, the only reasons for struggling to use an old
package are to try to replicate someone else's results and/or to try to use
their software (built atop the dead package) with new data.  Well, if you
get different results, that's interesting too, and then it's time to work
harder to resurrect the dead package.

Speaking of which, an easier route might be to set up a separate
environment running an old version of R that *can* run the old code and the
old code's dependencies.  In fact trying to use the same versions that the
work you're trying to reproduce used might make a lot of sense.

Overall, I think selecting an alternative package
that *is* currently maintained is the best use of your time, but your
supervisor should be able to help you with that.  Selecting appropriate
packages is part of doing research, after all, and demonstrating
that you can do it is all to the good, no?

On Sun, 3 Jul 2022 at 15:24, Richard O'Keefe <raoknz using gmail.com> wrote:

> Can we start a step back please?
> wmtsa stands for
>   Wavelet Methods for Time Series Analysis.
> OK, so you have some time series data,
> and for some reason you want to analyse
> your data using wavelets.  No worries.
> But does it have to be THIS unmaintained
> package?
> Why not visit
> https://CRAN.R-project.org/view=TimeSeries
> and search for "wavelets" in the text?
> Oh heck, I might as well do it for you.
> <snip>
> *Wavelet methods* : The wavelets
> <https://cran.r-project.org/web/packages/wavelets/index.html> package
> includes computing wavelet filters, wavelet transforms and multiresolution
> analyses. Multiresolution forecasting using wavelets is also implemented in
> mrf <https://cran.r-project.org/web/packages/mrf/index.html>. WaveletComp
> <https://cran.r-project.org/web/packages/WaveletComp/index.html> provides
> some tools for wavelet-based analysis of univariate and bivariate time
> series including cross-wavelets, phase-difference and significance tests.
> biwavelet <https://cran.r-project.org/web/packages/biwavelet/index.html>
> is a port of the WTC Matlab package for univariate and bivariate wavelet
> analyses. mvLSW <https://cran.r-project.org/web/packages/mvLSW/index.html>
> provides tools for multivariate locally stationary wavelet processes.
> LSWPlib <https://cran.r-project.org/web/packages/LSWPlib/index.html>
> contains functions for simulation and spectral estimation of locally
> stationary wavelet packet processes. Tests of white noise using wavelets
> are provided by hwwntest
> <https://cran.r-project.org/web/packages/hwwntest/index.html>. Wavelet
> scalogram tools are contained in wavScalogram
> <https://cran.r-project.org/web/packages/wavScalogram/index.html>.
> Further wavelet methods can be found in the packages rwt
> <https://cran.r-project.org/web/packages/rwt/index.html>, waveslim
> <https://cran.r-project.org/web/packages/waveslim/index.html>, wavethresh
> <https://cran.r-project.org/web/packages/wavethresh/index.html>.
> </snip>
> Presumably there is a reason that nobody else has
> bothered to continue maintaining wmtsa.  Perhaps
> one of those other wavelets + time series packages
> can do what you need?
> On Sun, 3 Jul 2022 at 04:12, Muhammad Zubair Chishti <
> mzchishti using eco.qau.edu.pk> wrote:
>> Dear Experts,
>> I cannot find a package "wmtsa" for my R version "R 4.2.0". Kindly help me
>> to find it or share the link with me.
>> Although I tried the old version of "wmtsa" but failed.
>> Thank you for your precious time.
>> Regards
>> Muhammad Zubair Chishti
>>         [[alternative HTML version deleted]]
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