cdf_min_given_max_partial_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 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 random variables (upper tail probability of minimum given maximum)

Usage

cdf_min_given_max_partial_upper(y_min, y_max, distribution, arg1, arg2)

Arguments

y_min	the value of y_min
y_max	the value of y_max
distribution	the distribution of marker value follows Normal or Gamma
arg1	if distribution is normal input mean parameters of all subclasses in a vector, if gamma input shape parameters
arg2	if distribution is normal input variance parameter, if gamma input rate parameters

Value

The conditional probability of minimum given maximum of random variables

CompClassMetrics documentation built on Feb. 28, 2026, 1:07 a.m.