F_min_max_partial_normal: R function that calculates the partial of joint probability...
In CompClassMetrics: Classification Measures when Subclasses are Involved
View source: R/Order_statistics.R
F_min_max_partial_normal R Documentation
R function that calculates the partial of joint probability of min and max over max of NIND normal random variables
Description
R function that calculates the partial of joint probability of min and max over max of NIND normal random variables
Usage
F_min_max_partial_normal(y_min, y_max, mu, sd)
Arguments
y_min
the value of y_min
y_max
the value of y_max
mu
the vector of mean parameters of normal random variables
sd
the vector of variance parameters of normal random variables
Value
The partial of joint probablity of min and max over max
CompClassMetrics documentation built on Sept. 9, 2025, 5:45 p.m.
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View source: R/Order_statistics.R
| F_min_max_partial_normal | R Documentation |
R function that calculates the partial of joint probability of min and max over max of NIND normal random variables
Description
R function that calculates the partial of joint probability of min and max over max of NIND normal random variables
Usage
F_min_max_partial_normal(y_min, y_max, mu, sd)
Arguments
y_min |
the value of y_min |
y_max |
the value of y_max |
mu |
the vector of mean parameters of normal random variables |
sd |
the vector of variance parameters of normal random variables |
Value
The partial of joint probablity of min and max over max
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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