[Feature] complexity_lyapunov(): more efficient method to compute LLE

[DominiqueMakowski]

• Added show arg to complexity_decorrelation()
• Fixed signal_autocor() unbiased method. The function now gained an unbiased=False argument.
• Added "makowski" method to complexity_lyapunov() (Largest Lyapunov Exponent (complexity_lyapunov method) - incorrect result for Lorenz system #900)

[codecov-commenter]

Codecov Report

Attention: 277 lines in your changes are missing coverage. Please review.

Comparison is base (f6d4d2d) 54.12% compared to head (9dffa6f) 55.01%.
Report is 208 commits behind head on dev.

Additional details and impacted files

@@            Coverage Diff             @@
##              dev     #906      +/-   ##
==========================================
+ Coverage   54.12%   55.01%   +0.89%     
==========================================
  Files         295      303       +8     
  Lines       13810    14208     +398     
==========================================
+ Hits         7474     7816     +342     
- Misses       6336     6392      +56     

Files	Coverage Δ
neurokit2/__init__.py	85.36% <100.00%> (ø)
neurokit2/complexity/__init__.py	100.00% <100.00%> (ø)
neurokit2/complexity/entropy_approximate.py	47.82% <100.00%> (ø)
neurokit2/complexity/entropy_sample.py	90.00% <100.00%> (ø)
neurokit2/complexity/entropy_shannon.py	83.33% <ø> (ø)
neurokit2/data/__init__.py	100.00% <100.00%> (ø)
neurokit2/data/data.py	56.25% <100.00%> (ø)
neurokit2/data/read_bitalino.py	15.09% <ø> (ø)
neurokit2/ecg/ecg_delineate.py	80.56% <100.00%> (ø)
neurokit2/ecg/ecg_phase.py	85.29% <100.00%> (-2.95%)	⬇️
... and 62 more

... and 5 files with indirect coverage changes

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