egttools.calculate_strategies_distribution

calculate_strategies_distribution()

Calculates the average frequency of each strategy given a stationary distribution.

This method computes the average strategy frequencies in the population based on the stationary distribution over all population states. It is assumed that the stationary distribution is sparse.

Parameters:

  • pop_size (int) – Total number of individuals in the population.

  • nb_strategies (int) – Number of strategies available in the population.

  • stationary_distribution (scipy.sparse.csr_matrix) – Sparse matrix representing the stationary distribution over population states.

Returns:

A 1D NumPy array of shape (nb_strategies,) containing the average frequency of each strategy across all states in the stationary distribution.

Return type:

NDArray[np.float64]

See also

egttools.calculate_state, egttools.sample_simplex, egttools.calculate_nb_states, egttools.numerical.PairwiseComparisonNumerical.estimate_stationary_distribution_sparse

Examples

>>> from scipy.sparse import csr_matrix
>>> freq = calculate_strategies_distribution(10, 3, csr_matrix(...))
>>> freq.shape
(3,)