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ADMB Documentation
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Go to the source code of this file.
Functions | |
| df1b2variable | betacf (const df1b2variable &a, const df1b2variable &b, double x, int MAXIT) |
| Incomplete beta function for df1b2variable objects. More... | |
| df1b2variable | betacf (const df1b2variable &a, const df1b2variable &b, const df1b2variable &x, int MAXIT) |
| df1b2variable | betai (const df1b2variable &a, const df1b2variable &b, double x, int maxit) |
| Incomplete beta function for df1b2variable objects. More... | |
| df1b2variable | pbeta (double x, const df1b2variable &a, const df1b2variable &b, int maxit) |
| beta distribution function for df1b2variable objects (alias of betai). More... | |
| df1b2variable | pbeta (const df1b2variable &x, const df1b2variable &a, const df1b2variable &b, int maxit) |
| df1b2variable betacf | ( | const df1b2variable & | a, |
| const df1b2variable & | b, | ||
| double | x, | ||
| int | MAXIT | ||
| ) |
Incomplete beta function for df1b2variable objects.
Author: David Fournier Copyright (c) 2008, 2009, 2010 Regents of the University of California
Evaluates the continued fraction for imcomplete beta function.
| _a | |
| _b | |
| _x | |
| MAXIT | Maximum number of iterations for the continued fraction approximation in betacf. |

The implementation of this algorithm was inspired by "Numerical Recipes in C", 2nd edition, Press, Teukolsky, Vetterling, Flannery, chapter 2
Definition at line 97 of file df1b2bet.cpp.
| df1b2variable betacf | ( | const df1b2variable & | a, |
| const df1b2variable & | b, | ||
| const df1b2variable & | x, | ||
| int | MAXIT | ||
| ) |
Definition at line 13 of file df1b2bet.cpp.
| df1b2variable betai | ( | const df1b2variable & | a, |
| const df1b2variable & | b, | ||
| double | x, | ||
| int | maxit | ||
| ) |
Incomplete beta function for df1b2variable objects.
| a | |
| b | |
| x | |
| maxit | Maximum number of iterations for the continued fraction approximation in betacf. |

The implementation of this algorithm was inspired by "Numerical Recipes in C", 2nd edition, Press, Teukolsky, Vetterling, Flannery, chapter 2
Definition at line 56 of file df1b2bet.cpp.
| df1b2variable pbeta | ( | double | x, |
| const df1b2variable & | a, | ||
| const df1b2variable & | b, | ||
| int | maxit | ||
| ) |
beta distribution function for df1b2variable objects (alias of betai).
| x | |
| a | |
| b | |
| maxit | Maximum number of iterations for the continued fraction approximation in betacf. |

The implementation of this algorithm was inspired by "Numerical Recipes in C", 2nd edition, Press, Teukolsky, Vetterling, Flannery, chapter 2
Definition at line 81 of file df1b2bet.cpp.
| df1b2variable pbeta | ( | const df1b2variable & | x, |
| const df1b2variable & | a, | ||
| const df1b2variable & | b, | ||
| int | maxit | ||
| ) |
Definition at line 104 of file df1b2bet.cpp.
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