F_min_given_max_partial_normal_upper: R function that calculates the conditional probability of...

In CompClassMetrics: Classification Measures when Subclasses are Involved

R function that calculates the conditional probability of minimum greater than y_min given maximum equals to y_max of normal random variables (upper tail probability of minimum given maximum)

Description

R function that calculates the conditional probability of minimum greater than y_min given maximum equals to y_max of normal random variables (upper tail probability of minimum given maximum)

Usage

F_min_given_max_partial_normal_upper(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 conditional probability of minimum given maximum of normal random variables

CompClassMetrics documentation built on Sept. 9, 2025, 5:45 p.m.