conditional sampling

[peisenha]

We need the ability to generate samples from the conditional distribution of correlated input paramters. We take our next steps here.

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[codecov]

Codecov Report

Merging #33 into master will increase coverage by 2.86%.
The diff coverage is 94.84%.

@@            Coverage Diff             @@
##           master      #33      +/-   ##
==========================================
+ Coverage   89.10%   91.96%   +2.86%     
==========================================
  Files           9       10       +1     
  Lines         156      249      +93     
==========================================
+ Hits          139      229      +90     
- Misses         17       20       +3     

Impacted Files	Coverage Δ
econsa/tests/test_sampling.py	92.72% <92.72%> (-7.28%)	⬇️
econsa/sampling.py	95.83% <95.83%> (+95.83%)	⬆️
econsa/tests/wrapper_r.py	100.00% <100.00%> (ø)

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[loikein]

Reporting to rpy2.

[loikein]

One possible way to move forward is to use the r channel instead of pip channel to install rpy2 and R together, and remove the action to install R seperately. However, the rpy2 package from that channel is outdated, I was worried it may cause compatibility issues with my code.

TODO: 2020-06-25
Result: conda cannot solve environment conflicts.

[loikein]

Codacy is constantly unhappy about my asserting error message.

Try adding a .bandit file according to Issue #346 · PyCQA/bandit… didn't worrk.

Reference: Code Patterns – Codacy.