tests/Test_Birnbaum_2005.R
In gary-au/pt: Computational models for prospect theory and other theories of risky decision making
library("pt")
########################
# Birnbaum, M. H. (2005). A comparison of five models that predict violations of first-order stochastic dominance in risky decision making. Journal of Risk and Uncertainty, 31(3), 263-287.
########################
########################
# RAM calculations p267
# F = (100, 0.5; 0, 0.5)
# ~ 33.33
# G = (100, 0.05; 0, 0.95)
# ~ 7.87
choice_ids <- c(1, 1, 1, 1)
gamble_ids <- c(1, 1, 2, 2)
outcome_ids <- c(1, 2, 1, 2)
objective_consequences <- c(100, 0, 100, 0)
probability_strings <-
c("1/2", "1/2", "0.05", "0.95")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
branch_weight_list <- list(
c(1, 2))
my_pwf <-
ProbWeight(fun="power",
par=c(alpha=0.6, beta=1))
my_utility <- Utility(fun="power",
par=c(alpha=1, beta=1, lambda=1))
compareRAM(my_choices,
branch_weight_list=branch_weight_list,
prob_weight=my_pwf,
utility=my_utility,
digits=4)
# cid gid ev ramu ce rp
# 1 1 1 50 33.33 33.33 16.67
# 2 1 2 5 7.872 7.872 -2.872
########################
# RAM calculations p267
# G0 = (96, 0.9; 12, 0.1)
# ~ 66.72
# G' = (96, 0.9; 12, 0.05; 12, 0.05)
# ~ 56.62
# G'' = (96, 0.85; 96, 0.05; 12, 0.1)
# ~ 64.22
choice_ids <- c(1, 1, 1, 1, 1, 1, 1, 1)
gamble_ids <- c(1, 1, 2, 2, 2, 3, 3, 3)
outcome_ids <- c(1, 2, 1, 2, 3, 1, 2, 3)
objective_consequences <- c(96, 12, 96, 12, 12, 96, 96, 12)
probability_strings <-
c("0.9", "0.1", "0.9", "0.05", "0.05", "0.85", "0.05", "0.1")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
branch_weight_list <- list(
c(1, 2),
c(1, 2, 3))
my_pwf <-
ProbWeight(fun="power",
par=c(alpha=0.6, beta=1))
my_utility <- Utility(fun="power",
par=c(alpha=1, beta=1, lambda=1))
compareRAM(my_choices,
branch_weight_list=branch_weight_list,
prob_weight=my_pwf,
utility=my_utility,
digits=4)
# cid gid ev ramu ce rp
# 1 1 1 87.6 66.72 66.72 20.88
# 2 1 2 87.6 56.62 56.62 30.98
# 3 1 3 87.6 64.22 64.22 23.38
########################
# RAM calculations p267
# G- = (96, 0.85; 90, 0.05; 12, 0.1)
# ~ 63.23
# G+ = (96, 0.9; 14, 0.05; 12, 0.05)
# ~ 56.99
# G- > G+
choice_ids <- c(1, 1, 1, 1, 1, 1)
gamble_ids <- c(1, 1, 1, 2, 2, 2)
outcome_ids <- c(1, 2, 3, 1, 2, 3)
objective_consequences <- c(96, 90, 12, 96, 14, 12)
probability_strings <-
c("0.85", "0.05", "0.1", "0.9", "0.05", "0.05")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
branch_weight_list <- list(
c(1, 2),
c(1, 2, 3))
my_pwf <-
ProbWeight(fun="power",
par=c(alpha=0.6, beta=1))
my_utility <- Utility(fun="power",
par=c(alpha=1, beta=1, lambda=1))
compareRAM(my_choices,
branch_weight_list=branch_weight_list,
prob_weight=my_pwf,
utility=my_utility,
digits=4)
# cid gid ev ramu ce rp
# 1 1 1 87.3 63.23 63.23 24.07
# 2 1 2 87.7 56.99 56.99 30.71
########################
# TAX calculations p268
# F = (100, 0.5; 0, 0.5)
# ~ 33.33
# G = (100, 0.05; 0, 0.95)
# ~ 7.53
choice_ids <- c(1, 1, 1, 1)
gamble_ids <- c(1, 1, 2, 2)
outcome_ids <- c(1, 2, 1, 2)
objective_consequences <- c(100, 0, 100, 0)
probability_strings <-
c("1/2", "1/2", "0.05", "0.95")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
my_pwf <-
ProbWeight(fun="power",
par=c(alpha=0.7, beta=1))
delta <- -1
my_utility <- Utility(fun="power",
par=c(alpha=1, beta=1, lambda=1))
compareTAX(my_choices,
prob_weight=my_pwf,
utility=my_utility,
delta=delta,
digits=4)
# cid gid ev tax ce rp
# 1 1 1 50 33.33 33.33 16.67
# 2 1 2 5 7.529 7.529 -2.529
########################
# TAX calculations p268
# G- = (96, 0.85; 90, 0.05; 12, 0.1)
# ~ 63.10
# G+ = (96, 0.9; 14, 0.05; 12, 0.05)
# ~ 45.77
# G- > G+
choice_ids <- c(1, 1, 1, 1, 1, 1)
gamble_ids <- c(1, 1, 1, 2, 2, 2)
outcome_ids <- c(1, 2, 3, 1, 2, 3)
objective_consequences <- c(96, 90, 12, 96, 14, 12)
probability_strings <-
c("0.85", "0.05", "0.1", "0.9", "0.05", "0.05")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
my_pwf <-
ProbWeight(fun="power",
par=c(alpha=0.7, beta=1))
delta <- -1
my_utility <- Utility(fun="power",
par=c(alpha=1, beta=1, lambda=1))
compareTAX(my_choices,
prob_weight=my_pwf,
utility=my_utility,
delta=delta,
digits=4)
# cid gid ev tax ce rp
# 1 1 1 87.3 63.1 63.1 24.2
# 2 1 2 87.7 45.77 45.77 41.93
########################
# GDU calculations p269
# F = (100, 0.5; 0, 0.5)
# ~
# G = (100, 0.05; 0, 0.95)
# ~
choice_ids <- c(1, 1, 1, 1)
gamble_ids <- c(1, 1, 2, 2)
outcome_ids <- c(1, 2, 1, 2)
objective_consequences <- c(100, 0, 100, 0)
probability_strings <-
c("1/2", "1/2", "0.05", "0.95")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
my_pwf <-
ProbWeight(fun="compound_invariance",
par=c(alpha=0.542, beta=1.382))
my_utility <- Utility(fun="power",
par=c(alpha=1, beta=1, lambda=1))
compareGDU(my_choices,
prob_weight=my_pwf,
utility=my_utility,
digits=4)
# cid gid ev gdu ce rp
# 1 1 1 50 32.21 32.21 17.79
# 2 1 2 5 8.169 8.169 -3.169
########################
# GDU calculations p269
# G- = (96, 0.85; 90, 0.05; 12, 0.1)
# ~
# G+ = (96, 0.9; 14, 0.05; 12, 0.05)
# ~
# G- > G+
choice_ids <- c(1, 1, 1, 1, 1, 1)
gamble_ids <- c(1, 1, 1, 2, 2, 2)
outcome_ids <- c(1, 2, 3, 1, 2, 3)
objective_consequences <- c(96, 90, 12, 96, 14, 12)
probability_strings <-
c("0.85", "0.05", "0.1", "0.9", "0.05", "0.05")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
my_pwf <-
ProbWeight(fun="compound_invariance",
par=c(alpha=0.542, beta=1.382))
my_utility <- Utility(fun="power",
par=c(alpha=1, beta=1, lambda=1))
compareGDU(my_choices,
prob_weight=my_pwf,
utility=my_utility,
digits=4)
# cid gid ev gdu ce rp
# 1 1 1 87.3 111.5 111.5 -24.18
# 2 1 2 87.7 68.32 68.32 19.38
########################
# PRT calculations p270
# F = (100, 0.5; 0, 0.5)
# ~ 33.33 PRT
# G = (100, 0.05; 0, 0.95)
# ~ 7.53 PRT
choice_ids <- c(1, 1, 1, 1)
gamble_ids <- c(1, 1, 2, 2)
outcome_ids <- c(1, 2, 1, 2)
objective_consequences <- c(100, 0, 100, 0)
probability_strings <-
c("1/2", "1/2", "0.05", "0.95")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
my_utility <- Utility(fun="power",
par=c(alpha=0.631, beta=0.631, lambda=1))
gamma <- 0.676
comparePRT(my_choices,
utility=my_utility,
gamma=gamma,
digits=4)
# cid gid ev prtu ce rp
# 1 1 1 50 9.141 33.34 16.66
# 2 1 2 5 3.579 7.545 -2.545
########################
# PRT calculations p270
# G- = (96, 0.85; 90, 0.05; 12, 0.1)
# ~
# G+ = (96, 0.9; 14, 0.05; 12, 0.05)
# ~
# G- > G+
choice_ids <- c(1, 1, 1, 1, 1, 1)
gamble_ids <- c(1, 1, 1, 2, 2, 2)
outcome_ids <- c(1, 2, 3, 1, 2, 3)
objective_consequences <- c(96, 90, 12, 96, 14, 12)
probability_strings <-
c("0.85", "0.05", "0.1", "0.9", "0.05", "0.05")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
my_utility <- Utility(fun="power",
par=c(alpha=0.631, beta=0.631, lambda=1))
gamma <- 0.676
comparePRT(my_choices,
utility=my_utility,
gamma=gamma,
digits=4)
# cid gid ev prtu ce rp
# 1 1 1 87.3 15.43 76.43 10.87
# 2 1 2 87.7 14.19 66.96 20.74
########################
# TAX calculations p282
# G3 = (100, 0.35; 0, 0.37; -95, 0.04; -97, 0.04, -100, 0.20)
# ~ -55.8
# G4 = (100, 0.1; 99, 0.1; 96, 0.1; 0, 0.4; -100, 0.3)
# ~ -14.7
# G4 > G3
choice_ids <- c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1)
gamble_ids <- c(1, 1, 1, 1, 1, 2, 2, 2, 2, 2)
outcome_ids <- c(1, 2, 3, 4, 5, 1, 2, 3, 4, 5)
objective_consequences <- c(100, 0, -95, -97, -100, 100, 99, 96, 0, -100)
probability_strings <-
c("0.35", "0.37", "0.04", "0.04", "0.2", "0.1", "0.1", "0.1", "0.4", "0.3")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
my_pwf <-
ProbWeight(fun="power",
par=c(alpha=0.7, beta=1))
delta <- -1
my_utility <- Utility(fun="power",
par=c(alpha=1, beta=1, lambda=1))
compareTAX(my_choices,
prob_weight=my_pwf,
utility=my_utility,
delta=delta,
digits=4)
# cid gid ev tax ce rp
# 1 1 1 7.32 -55.79 -55.79 63.11
# 2 1 2 -0.5 -14.68 -14.68 14.18
gary-au/pt documentation built on May 16, 2019, 5:41 p.m.
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library("pt")
########################
# Birnbaum, M. H. (2005). A comparison of five models that predict violations of first-order stochastic dominance in risky decision making. Journal of Risk and Uncertainty, 31(3), 263-287.
########################
########################
# RAM calculations p267
# F = (100, 0.5; 0, 0.5)
# ~ 33.33
# G = (100, 0.05; 0, 0.95)
# ~ 7.87
choice_ids <- c(1, 1, 1, 1)
gamble_ids <- c(1, 1, 2, 2)
outcome_ids <- c(1, 2, 1, 2)
objective_consequences <- c(100, 0, 100, 0)
probability_strings <-
c("1/2", "1/2", "0.05", "0.95")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
branch_weight_list <- list(
c(1, 2))
my_pwf <-
ProbWeight(fun="power",
par=c(alpha=0.6, beta=1))
my_utility <- Utility(fun="power",
par=c(alpha=1, beta=1, lambda=1))
compareRAM(my_choices,
branch_weight_list=branch_weight_list,
prob_weight=my_pwf,
utility=my_utility,
digits=4)
# cid gid ev ramu ce rp
# 1 1 1 50 33.33 33.33 16.67
# 2 1 2 5 7.872 7.872 -2.872
########################
# RAM calculations p267
# G0 = (96, 0.9; 12, 0.1)
# ~ 66.72
# G' = (96, 0.9; 12, 0.05; 12, 0.05)
# ~ 56.62
# G'' = (96, 0.85; 96, 0.05; 12, 0.1)
# ~ 64.22
choice_ids <- c(1, 1, 1, 1, 1, 1, 1, 1)
gamble_ids <- c(1, 1, 2, 2, 2, 3, 3, 3)
outcome_ids <- c(1, 2, 1, 2, 3, 1, 2, 3)
objective_consequences <- c(96, 12, 96, 12, 12, 96, 96, 12)
probability_strings <-
c("0.9", "0.1", "0.9", "0.05", "0.05", "0.85", "0.05", "0.1")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
branch_weight_list <- list(
c(1, 2),
c(1, 2, 3))
my_pwf <-
ProbWeight(fun="power",
par=c(alpha=0.6, beta=1))
my_utility <- Utility(fun="power",
par=c(alpha=1, beta=1, lambda=1))
compareRAM(my_choices,
branch_weight_list=branch_weight_list,
prob_weight=my_pwf,
utility=my_utility,
digits=4)
# cid gid ev ramu ce rp
# 1 1 1 87.6 66.72 66.72 20.88
# 2 1 2 87.6 56.62 56.62 30.98
# 3 1 3 87.6 64.22 64.22 23.38
########################
# RAM calculations p267
# G- = (96, 0.85; 90, 0.05; 12, 0.1)
# ~ 63.23
# G+ = (96, 0.9; 14, 0.05; 12, 0.05)
# ~ 56.99
# G- > G+
choice_ids <- c(1, 1, 1, 1, 1, 1)
gamble_ids <- c(1, 1, 1, 2, 2, 2)
outcome_ids <- c(1, 2, 3, 1, 2, 3)
objective_consequences <- c(96, 90, 12, 96, 14, 12)
probability_strings <-
c("0.85", "0.05", "0.1", "0.9", "0.05", "0.05")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
branch_weight_list <- list(
c(1, 2),
c(1, 2, 3))
my_pwf <-
ProbWeight(fun="power",
par=c(alpha=0.6, beta=1))
my_utility <- Utility(fun="power",
par=c(alpha=1, beta=1, lambda=1))
compareRAM(my_choices,
branch_weight_list=branch_weight_list,
prob_weight=my_pwf,
utility=my_utility,
digits=4)
# cid gid ev ramu ce rp
# 1 1 1 87.3 63.23 63.23 24.07
# 2 1 2 87.7 56.99 56.99 30.71
########################
# TAX calculations p268
# F = (100, 0.5; 0, 0.5)
# ~ 33.33
# G = (100, 0.05; 0, 0.95)
# ~ 7.53
choice_ids <- c(1, 1, 1, 1)
gamble_ids <- c(1, 1, 2, 2)
outcome_ids <- c(1, 2, 1, 2)
objective_consequences <- c(100, 0, 100, 0)
probability_strings <-
c("1/2", "1/2", "0.05", "0.95")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
my_pwf <-
ProbWeight(fun="power",
par=c(alpha=0.7, beta=1))
delta <- -1
my_utility <- Utility(fun="power",
par=c(alpha=1, beta=1, lambda=1))
compareTAX(my_choices,
prob_weight=my_pwf,
utility=my_utility,
delta=delta,
digits=4)
# cid gid ev tax ce rp
# 1 1 1 50 33.33 33.33 16.67
# 2 1 2 5 7.529 7.529 -2.529
########################
# TAX calculations p268
# G- = (96, 0.85; 90, 0.05; 12, 0.1)
# ~ 63.10
# G+ = (96, 0.9; 14, 0.05; 12, 0.05)
# ~ 45.77
# G- > G+
choice_ids <- c(1, 1, 1, 1, 1, 1)
gamble_ids <- c(1, 1, 1, 2, 2, 2)
outcome_ids <- c(1, 2, 3, 1, 2, 3)
objective_consequences <- c(96, 90, 12, 96, 14, 12)
probability_strings <-
c("0.85", "0.05", "0.1", "0.9", "0.05", "0.05")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
my_pwf <-
ProbWeight(fun="power",
par=c(alpha=0.7, beta=1))
delta <- -1
my_utility <- Utility(fun="power",
par=c(alpha=1, beta=1, lambda=1))
compareTAX(my_choices,
prob_weight=my_pwf,
utility=my_utility,
delta=delta,
digits=4)
# cid gid ev tax ce rp
# 1 1 1 87.3 63.1 63.1 24.2
# 2 1 2 87.7 45.77 45.77 41.93
########################
# GDU calculations p269
# F = (100, 0.5; 0, 0.5)
# ~
# G = (100, 0.05; 0, 0.95)
# ~
choice_ids <- c(1, 1, 1, 1)
gamble_ids <- c(1, 1, 2, 2)
outcome_ids <- c(1, 2, 1, 2)
objective_consequences <- c(100, 0, 100, 0)
probability_strings <-
c("1/2", "1/2", "0.05", "0.95")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
my_pwf <-
ProbWeight(fun="compound_invariance",
par=c(alpha=0.542, beta=1.382))
my_utility <- Utility(fun="power",
par=c(alpha=1, beta=1, lambda=1))
compareGDU(my_choices,
prob_weight=my_pwf,
utility=my_utility,
digits=4)
# cid gid ev gdu ce rp
# 1 1 1 50 32.21 32.21 17.79
# 2 1 2 5 8.169 8.169 -3.169
########################
# GDU calculations p269
# G- = (96, 0.85; 90, 0.05; 12, 0.1)
# ~
# G+ = (96, 0.9; 14, 0.05; 12, 0.05)
# ~
# G- > G+
choice_ids <- c(1, 1, 1, 1, 1, 1)
gamble_ids <- c(1, 1, 1, 2, 2, 2)
outcome_ids <- c(1, 2, 3, 1, 2, 3)
objective_consequences <- c(96, 90, 12, 96, 14, 12)
probability_strings <-
c("0.85", "0.05", "0.1", "0.9", "0.05", "0.05")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
my_pwf <-
ProbWeight(fun="compound_invariance",
par=c(alpha=0.542, beta=1.382))
my_utility <- Utility(fun="power",
par=c(alpha=1, beta=1, lambda=1))
compareGDU(my_choices,
prob_weight=my_pwf,
utility=my_utility,
digits=4)
# cid gid ev gdu ce rp
# 1 1 1 87.3 111.5 111.5 -24.18
# 2 1 2 87.7 68.32 68.32 19.38
########################
# PRT calculations p270
# F = (100, 0.5; 0, 0.5)
# ~ 33.33 PRT
# G = (100, 0.05; 0, 0.95)
# ~ 7.53 PRT
choice_ids <- c(1, 1, 1, 1)
gamble_ids <- c(1, 1, 2, 2)
outcome_ids <- c(1, 2, 1, 2)
objective_consequences <- c(100, 0, 100, 0)
probability_strings <-
c("1/2", "1/2", "0.05", "0.95")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
my_utility <- Utility(fun="power",
par=c(alpha=0.631, beta=0.631, lambda=1))
gamma <- 0.676
comparePRT(my_choices,
utility=my_utility,
gamma=gamma,
digits=4)
# cid gid ev prtu ce rp
# 1 1 1 50 9.141 33.34 16.66
# 2 1 2 5 3.579 7.545 -2.545
########################
# PRT calculations p270
# G- = (96, 0.85; 90, 0.05; 12, 0.1)
# ~
# G+ = (96, 0.9; 14, 0.05; 12, 0.05)
# ~
# G- > G+
choice_ids <- c(1, 1, 1, 1, 1, 1)
gamble_ids <- c(1, 1, 1, 2, 2, 2)
outcome_ids <- c(1, 2, 3, 1, 2, 3)
objective_consequences <- c(96, 90, 12, 96, 14, 12)
probability_strings <-
c("0.85", "0.05", "0.1", "0.9", "0.05", "0.05")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
my_utility <- Utility(fun="power",
par=c(alpha=0.631, beta=0.631, lambda=1))
gamma <- 0.676
comparePRT(my_choices,
utility=my_utility,
gamma=gamma,
digits=4)
# cid gid ev prtu ce rp
# 1 1 1 87.3 15.43 76.43 10.87
# 2 1 2 87.7 14.19 66.96 20.74
########################
# TAX calculations p282
# G3 = (100, 0.35; 0, 0.37; -95, 0.04; -97, 0.04, -100, 0.20)
# ~ -55.8
# G4 = (100, 0.1; 99, 0.1; 96, 0.1; 0, 0.4; -100, 0.3)
# ~ -14.7
# G4 > G3
choice_ids <- c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1)
gamble_ids <- c(1, 1, 1, 1, 1, 2, 2, 2, 2, 2)
outcome_ids <- c(1, 2, 3, 4, 5, 1, 2, 3, 4, 5)
objective_consequences <- c(100, 0, -95, -97, -100, 100, 99, 96, 0, -100)
probability_strings <-
c("0.35", "0.37", "0.04", "0.04", "0.2", "0.1", "0.1", "0.1", "0.4", "0.3")
my_choices <- Choices(choice_ids=choice_ids,
gamble_ids=gamble_ids,
outcome_ids=outcome_ids,
objective_consequences=objective_consequences,
probability_strings=probability_strings)
my_choices
my_pwf <-
ProbWeight(fun="power",
par=c(alpha=0.7, beta=1))
delta <- -1
my_utility <- Utility(fun="power",
par=c(alpha=1, beta=1, lambda=1))
compareTAX(my_choices,
prob_weight=my_pwf,
utility=my_utility,
delta=delta,
digits=4)
# cid gid ev tax ce rp
# 1 1 1 7.32 -55.79 -55.79 63.11
# 2 1 2 -0.5 -14.68 -14.68 14.18
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