pref_ineqAv: Fehr-Schmidt inequality aversion.
In skranz/gtree: gtree basic functionality to model and solve games
Description
Usage
Arguments
See Also
Description
Fehr-Schmidt inequality aversion.
Usage
1
2
pref_ineqAv(alpha = 0, beta = 0, player = 1:numPlayers, numPlayers = 2,
...)
Arguments
alpha
the degree of envy
beta
the degree of guilt
player
player(s) for which the preferences apply. Per default 1:2
numPlayers
number of players in game per default 2
See Also
Other Preferences: game_fix_action_preferences,
game_prefer_outcomes,
game_set_preferences,
pref_change_params,
pref_custom, pref_envy,
pref_heterogeneous_players,
pref_lossAv, pref_payoff
skranz/gtree documentation built on March 27, 2021, 6:03 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments See Also
Description
Fehr-Schmidt inequality aversion.
Usage
1 2 | pref_ineqAv(alpha = 0, beta = 0, player = 1:numPlayers, numPlayers = 2,
...)
|
Arguments
alpha |
the degree of envy |
beta |
the degree of guilt |
player |
player(s) for which the preferences apply. Per default 1:2 |
numPlayers |
number of players in game per default 2 |
See Also
Other Preferences: game_fix_action_preferences,
game_prefer_outcomes,
game_set_preferences,
pref_change_params,
pref_custom, pref_envy,
pref_heterogeneous_players,
pref_lossAv, pref_payoff
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.