[R] A humble request

Muhammad Zubair Chishti mzch|@ht| @end|ng |rom eco@q@u@edu@pk
Sun Jul 3 08:00:26 CEST 2022

Dear Respected Experts and specifically Professor Richard O'Keefe,
Thank you so much for your precious time and generous help. However, the
problem is still there and I am just unable to resolve it due to the lack
of expertise in R. Still, the hope is there. I believe that this platform
can help me.

Muhammad Zubair Chishti
School of Business,
Zhengzhou University, Henan, China
My Google scholar link:
My ReseachGate Profile:

On Sun, Jul 3, 2022 at 9:11 AM Richard O'Keefe <raoknz using gmail.com> wrote:

> 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
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