game_prefer_outcomes: Set add a large amount of utility if a player plays a...
In skranz/gtree: gtree basic functionality to model and solve games

Description Usage Arguments Details See Also

Allows to study the game under the assumption that a player strongly prefers to chose one particular move of an action variable.

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game_prefer_outcomes(game, player1 = NULL, player2 = NULL, player3 = NULL,
  ..., player.prefs = list(player1 = player1, player2 = player2, player3 =
  player3, ...))

`player1`	A formula describing which utility levels should be added to the current utility function of player 1 (see example). If NULL we don't add utilities for player 1. Similar for the other players 2-4.
`...`	additional formulas for games with more than 4 players.
`player.prefs`	by default equal to `list(player1,player2,player3, player4,...)`. Can be manually provided.

If you want to fix mixed strategies, use the he related function game_fix_action_preferences transforms the corresponding action into a move of nature.

For fixing pure strategies game_fix_action_preferences is preferable when using the gambit-logit solver that can find sequential equilibria, by using logit trembles.

Other Fix Actions: game_fix_action_preferences, game_fix_actions

Other Preferences: game_fix_action_preferences, game_set_preferences, pref_change_params, pref_custom, pref_envy, pref_heterogeneous_players, pref_ineqAv, pref_lossAv, pref_payoff