All functions
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action()
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Specify an action in a stage |
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case_distinction()
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A simple function to define case distinctions |
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eq_cond_expected_outcomes()
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Return conditional expected equilibrium outcomes |
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eq_cond_outcomes()
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Return conditional equilibrium outcomes |
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eq_expected_outcomes()
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Return a data frame of expected equilibrium outcomes |
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eq_li()
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Return the computed equilibria using the internal representation |
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eq_outcomes()
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Return a data frame of all equilibrium outcomes |
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eq_tables()
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Return solved equilibrium in a table format |
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game_change_param()
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Changes one or several parameters of a game |
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game_compile()
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Compile a game defined with new_game |
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game_copy()
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Make a deep copy of a game |
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game_fix_actions()
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Fix move probabilities of actions |
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game_fix_action_preferences()
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Set add a large amount of utility if a player plays a particular action |
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game_gambit_solve()
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Solve equilibria of a game using Gambit |
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game_gambit_solve_qre()
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Solve for quantal response equilibria using Gambit |
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game_prefer_outcomes()
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Set add a large amount of utility if a player plays a particular action |
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game_set_options()
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Change options of an already created game object |
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game_set_preferences()
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Set players' preferences |
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game_solve_spe()
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Solve equilibria of a game |
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game_write_efg()
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Write game as a Gambit efg file |
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get_outcomes()
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Return a data frame of all possible outcomes |
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is_true()
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Returns logical vector replacing NA by FALSE |
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make_game_options()
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Specify the game options inside new_game |
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make_game_params()
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Specify the game parameters
This function is only to be used inside new_game. To change the parameters of an existing game call game_change_params. |
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natureMove()
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Specify a random move of nature in a stage |
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new_game()
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Create a new gtree game |
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pref_change_params()
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Change the parameters of a preference object |
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pref_custom()
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Create a custom preference |
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pref_envy()
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Fehr-Schmidt inequality aversion with envy only |
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pref_heterogeneous_players()
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Combine preferences for different players |
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pref_ineqAv()
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Fehr-Schmidt inequality aversion. |
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pref_lossAv()
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'Linear loss aversion preferences with a single reference point |
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pref_payoff()
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Utility is equal to monetary payoff. |
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stage()
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Specify a stage for a game |