maxent_disaggregation

maxent_disaggregation.

Submodules

• maxent_disaggregation.aggregate
• maxent_disaggregation.maxent_direchlet
• maxent_disaggregation.maxent_disaggregation
• maxent_disaggregation.plot_covariances
• maxent_disaggregation.plot_samples_hist
• maxent_disaggregation.shares

Package Contents

Functions

sample_shares(n, shares[, sds, grad_based, ...])	Samples from a distribution of shares based on given means and standard deviations.
sample_aggregate(→ numpy.ndarray)	Generate random aggregate values based on the information provided.
maxent_disagg(→ numpy.ndarray)	Generate random disaggregates based on the maximum entropy principle.
find_gamma_maxent(, shares_lb, eval_grad_f, ...)	Finds the gamma parameter that maximizes the entropy of a Dirichlet distribution

Attributes

__version__