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coverage: 29.999% (-0.05%) from 30.048%
PYTHON_VERSION=3.6 FLOATX='float64' TESTCMD="--durations=10 --cov-append pymc3/tests/test_examples.py pymc3/tests/test_posteriors.py"

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<a href="https://github.com/pymc-devs/pymc3/commit/<a class=hub.com/pymc-devs/pymc3/commit/f845575dbca856a846a09729bbe4b6fd5e467729">f845575db<a href="https://github.com/pymc-devs/pymc3/commit/f845575dbca856a846a09729bbe4b6fd5e467729">&quot;&gt;Implement random method for LKJCorr (#2443)

* [WIP] implement random method for LKJCorr

using the algorithm in LKJ 2009(vine method based on a C-vine)

* pep8 fix

* import random method

* Revert &amp;quot;import random method&quot;

This reverts commit </a><a class="double-link" href="https://github.com/pymc-devs/pymc3/commit/<a class="double-link" href="https://github.com/pymc-devs/pymc3/commit/42e620eb9529f82cdb42c59c5b5cfc620c7c4a34">42e620eb9</a>">42e620eb9</a><a href="https://github.com/pymc-devs/pymc3/commit/f845575dbca856a846a09729bbe4b6fd5e467729">.

* restrict dimension n to n &gt; 1, fix random sample for n = 2

* unify parameter naming between LKJCorr and LKJCholeskyCov

* improved random method

* Bug fix in shape

* Add test

* fix test

* pep8 clean up, fixed test warning

* improved random method

* forked R code for random method

generated Corr matrix is now positive definite.

4663 of 15544 relevant lines covered (30.0%)

0.3 hits per line

Source Files on job 6145.10 (PYTHON_VERSION=3.6 FLOATX='float64' TESTCMD="--durations=10 --cov-append pymc3/tests/test_examples.py pymc3/tests/test_posteriors.py")
Coverage ∆ File Lines Relevant Covered Missed Hits/Line