sim_moneyline: Simulate a series of IID trials of moneyline under...
In shill1729/KellyCriterion: Log-optimal stock allocation
Description
Usage
Arguments
Details
Value
Description
Simulate a series of moneyline trials under log-optimal growth.
Usage
1
sim_moneyline(bankroll, p, wagers, trials = 100)
Arguments
bankroll
initial bankroll to bet
p
true chance of outcome
wagers
the vector of wagers, see details
trials
the number of trials to simulate
Details
The argument wagers must contain four wagers, the first two the odds
for the favorite, the latter two the odds for the underdog.
Value
vector
shill1729/KellyCriterion documentation built on Oct. 12, 2020, 4:21 a.m.
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Description Usage Arguments Details Value
Description
Simulate a series of moneyline trials under log-optimal growth.
Usage
1 | sim_moneyline(bankroll, p, wagers, trials = 100)
|
Arguments
bankroll |
initial bankroll to bet |
p |
true chance of outcome |
wagers |
the vector of wagers, see details |
trials |
the number of trials to simulate |
Details
The argument wagers must contain four wagers, the first two the odds
for the favorite, the latter two the odds for the underdog.
Value
vector
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.
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