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Distribution function of the Extreme-Value Birnbaum-Saunders distribution

Usage

pevbs(t, eta, alpha, gama, lower.tail = TRUE)

Arguments

t

Vector of positive quantiles.

eta

Location on the log scale, typically \(x^\top \beta\).

alpha

Positive shape (scale) parameter.

gama

Extreme-value shape parameter.

lower.tail

Logical; if TRUE (default), probabilities are \(P(T \le t)\), otherwise \(P(T > t)\).

Value

A numeric vector of probabilities.

Examples

pevbs(30, eta = 2.58, alpha = 0.19, gama = -0.16, lower.tail = FALSE)
#> [1] 0.0004258884