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Generalized IBSS

This package implements "Generalized IBSS"

TODO

  • Monitor convergence/run to convergence in Newton's method rather than running for a fixed number of iterations
  • Use JAX looping instead of python loop to speed up compilation. Are there other changes that would improve compilation time?
  • Implement cox model?
  • Keep track of optimization state in univariate regression?
  • Implement more additive components e.g. for fixed effects/covariates to be included
  • Extend GIBSS to account for extra covariates Z so that we don't need to specify a custom additive model to include these
  • Convert informal tests from notebooks/ into unit tests that we can use as the code base develops.
  • Remove dependence on flax and jaxopt-- it would be preferable for this to only depend on base jax!

Could be useful for diagonising issues

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