fdr_calc: False discovery rate
In barryquinn1/ATI: Algorithmic Trading and Investment
Description
Usage
Arguments
Value
Examples
Description
The function express the false discovery rate associated with selection bias in multiple testing.
This produces a tibble of the recall, precision and false discovery rate
when give the true probability of a positive results, the significance level,
,the false negative rate (Type II error) and the number of trails.
Usage
1
Arguments
ground_truth
double probability of a positive results
alpha
double level of significance
beta
double Type || error
trails
integer No of trails
Value
tibble
Examples
1
barryquinn1/ATI documentation built on May 10, 2021, 10:47 a.m.
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Description Usage Arguments Value Examples
Description
The function express the false discovery rate associated with selection bias in multiple testing. This produces a tibble of the recall, precision and false discovery rate when give the true probability of a positive results, the significance level, ,the false negative rate (Type II error) and the number of trails.
Usage
1 |
Arguments
ground_truth |
double probability of a positive results |
alpha |
double level of significance |
beta |
double Type || error |
trails |
integer No of trails |
Value
tibble
Examples
1 |
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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