The ability to fit multiple latent phenotypes in the global epistasis models. This adds the n_latent_phenotypes flag to AbstractEpistasis models, and changes calls to certain methods / properties of that abstract model class and its concrete subclasses.
The concept of "bottleneck" likelihoods in global epistasis models, implemented in BottleneckLikelihood.
The bottlenecks module to estimate bottlenecks.
Added AbstractEpistasis.aic property.
Added globalepistasis.fit_models
Added MultiLatentSigmoidPhenotypeSimulator.
An equals (__eq__) comparison operation to BinaryMap.
Added n_pre and n_post attributes to BinaryMap. This changes the initialization to add new parameters, n_pre_col, n_post_col, and cols_optional.
Fixed
++++++
BinaryMap objects can now be deep copied (they don't have a compiled regex as attributed).
Added ++++++
The ability to fit multiple latent phenotypes in the global epistasis models. This adds the
n_latent_phenotypesflag toAbstractEpistasismodels, and changes calls to certain methods / properties of that abstract model class and its concrete subclasses.The concept of "bottleneck" likelihoods in global epistasis models, implemented in
BottleneckLikelihood.The
bottlenecksmodule to estimate bottlenecks.Added
AbstractEpistasis.aicproperty.Added
globalepistasis.fit_modelsAdded
MultiLatentSigmoidPhenotypeSimulator.An equals (
__eq__) comparison operation toBinaryMap.Added
n_preandn_postattributes toBinaryMap. This changes the initialization to add new parameters,n_pre_col,n_post_col, andcols_optional.Fixed ++++++
BinaryMapobjects can now be deep copied (they don't have a compiled regex as attributed).