Version 0.3.0

Breaking Changes

• renamed eval_monte_carlo() to eval_sample()
• changed default argument behavior for n in eval_sample(); no longer provides default n=1

Infrastructure Changes

• Moved dependencies from requirements.txt to setup.py
• Changed optional dependencies to fail at runtime, rather than at import. Also moved optional dependencies to main grama namespace.

Features

• Added importance sampling with tran_reweight; effective sample size approximation with neff_is()
• Added active subspace approximation with tran_polyridge()
• Added marginal fitting by the method of moments with marg_mom()
• Added fumulative standard deviation window function cumsd()
• Added plotnine under-the-hood for visualization; plotnine functions available through Grama namespace for convenience
• Re-implemented autoplot utilities using plotnine
• Added contour generation through marching squares with linear interpolation via eval_contour()
• Made Marginal class functions Marginal.l(), Marginal.q(), Marginal.p() symbolic to enable use within tran_mutate()
• Added QQ plot helper qqvals()
• Added grouped counting helper tran_count()
• Added df_group() helper to generate sweeps

Fixes

• Vectorized trajectory model
• Fixed bugs in PRLC model, added unittest coverage