• Reduction in memory usage for SKAT/SKATO tests (relevant for large genes like TTN) - added memory due to SKAT tests should be ~2xM^2x8 bytes where M is the largest number of variants in a set (ultra-rare variants collapsed in 1 mask)
• Improvements for logistic regressions algorithms to address reported convergence issues (favor score criterion over log-likelihood fractional change)
• Updated to Eigen 3.4.0 library