{"push_id":667112844,"size":1,"distinct_size":1,"ref":"refs/heads/master","head":"5889f9009aedc03267d53d48479ab9c076880035","before":"151166e1709fca9e039d7d0f071d1ea6b70f770c","commits":[{"sha":"5889f9009aedc03267d53d48479ab9c076880035","author":{"email":"08dead265253e2a0cce5b9cbc7300e35d2f237c2@vcu.edu","name":"Rob"},"message":"Skip updating filteredDataRow with its backend result\n\nIn the context of row fitfunctions, the filteredDataRow would cause\nerrors at runtime if the last row of the raw data contained any NAs,\nsince its backend result would have fewer columns than its frontend\ninitialization.  This commit makes OpenMx skip updating the\nfilteredDataRow.  Also included is a regression test, which demonstrates\napplication of the bivariate-lognormal likelihood.","distinct":true,"url":"https://api.github.com/repos/OpenMx/OpenMx/commits/5889f9009aedc03267d53d48479ab9c076880035"}]}