NAG FL Interface
g01eff (prob_​gamma)

1 Purpose

2 Specification

3 Description

4 References

5 Arguments

1: $\mathbf{tail}$ – Character(1) Input

On entry: indicates whether an upper or lower tail probability is required.

$\mathbf{tail}=\text{'L'}$

The lower tail probability is returned, that is $P(G\le g:\alpha ,\beta )$.

$\mathbf{tail}=\text{'U'}$

The upper tail probability is returned, that is $P(G\ge g:\alpha ,\beta )$.

Constraint: $\mathbf{tail}=\text{'L'}$ or $\text{'U'}$.

2: $\mathbf{g}$ – Real (Kind=nag_wp) Input

On entry: $g$, the value of the gamma variate.

Constraint: $\mathbf{g}\ge 0.0$.

3: $\mathbf{a}$ – Real (Kind=nag_wp) Input

On entry: the parameter $\alpha$ of the gamma distribution.

Constraint: $\mathbf{a}>0.0$.

4: $\mathbf{b}$ – Real (Kind=nag_wp) Input

On entry: the parameter $\beta$ of the gamma distribution.

Constraint: $\mathbf{b}>0.0$.

5: $\mathbf{ifail}$ – Integer Input/Output

On entry: ifail must be set to $0$, $\mathrm{-1}$ or $1$ to set behaviour on detection of an error; these values have no effect when no error is detected.

A value of $0$ causes the printing of an error message and program execution will be halted; otherwise program execution continues. A value of $\mathrm{-1}$ means that an error message is printed while a value of $1$ means that it is not.

If halting is not appropriate, the value $\mathrm{-1}$ or $1$ is recommended. If message printing is undesirable, then the value $1$ is recommended. Otherwise, the value $0$ is recommended. When the value $-\mathbf{1}$ or $\mathbf{1}$ is used it is essential to test the value of ifail on exit.

On exit: $\mathbf{ifail}=\mathbf{0}$ unless the routine detects an error or a warning has been flagged (see Section 6).

6 Error Indicators and Warnings

$\mathbf{ifail}=1$

On entry, $\mathbf{tail}=⟨\mathit{\text{value}}⟩$.
Constraint: $\mathbf{tail}=\text{'L'}$ or $\text{'U'}$.

$\mathbf{ifail}=2$

On entry, $\mathbf{g}=⟨\mathit{\text{value}}⟩$.
Constraint: $\mathbf{g}\ge 0.0$.

$\mathbf{ifail}=3$

On entry, $\mathbf{a}=⟨\mathit{\text{value}}⟩$ and $\mathbf{b}=⟨\mathit{\text{value}}⟩$.
Constraint: $\mathbf{a}>0.0$ and $\mathbf{b}>0.0$.

$\mathbf{ifail}=4$

The algorithm has failed to converge in $⟨\mathit{\text{value}}⟩$ iterations. The probability returned should be a reasonable approximation to the solution.

$\mathbf{ifail}=-99$

An unexpected error has been triggered by this routine. Please contact NAG.

See Section 7 in the Introduction to the NAG Library FL Interface for further information.

$\mathbf{ifail}=-399$

Your licence key may have expired or may not have been installed correctly.

See Section 8 in the Introduction to the NAG Library FL Interface for further information.

$\mathbf{ifail}=-999$

Dynamic memory allocation failed.

See Section 9 in the Introduction to the NAG Library FL Interface for further information.

7 Accuracy

8 Parallelism and Performance

9 Further Comments

10 Example

10.1 Program Text

10.2 Program Data

10.3 Program Results