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mschauer / ZigZagBoomerang.jl

Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection
MIT License
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Add turing example, more iterator interface #86

Closed mschauer closed 3 years ago

codecov-commenter commented 3 years ago

Codecov Report

Merging #86 (c1cbead) into master (878517e) will decrease coverage by 3.44%. The diff coverage is 0.00%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #86      +/-   ##
==========================================
- Coverage   67.26%   63.82%   -3.45%     
==========================================
  Files          21       22       +1     
  Lines        1338     1407      +69     
==========================================
- Hits          900      898       -2     
- Misses        438      509      +71
Impacted Files Coverage Δ
src/ZigZagBoomerang.jl 100.00% <ø> (ø)
src/condition.jl 0.00% <0.00%> (ø)
src/not_fact_samplers.jl 77.38% <ø> (-0.27%) :arrow_down:
src/notfactiter.jl 0.00% <0.00%> (ø)
src/sfact.jl 86.99% <ø> (-0.11%) :arrow_down:
src/sfactiter.jl 93.47% <ø> (ø)
src/trace.jl 60.38% <0.00%> (-7.01%) :arrow_down:
src/types.jl 81.25% <0.00%> (ø)

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