Tools to Support Optimization Possibly with Bounds and Masks

axsearch | Perform axial search around a supposed minimum and provide... |

bmchk | Check bounds and masks for parameter constraints used in... |

bmstep | Compute the maximum step along a search direction. |

fnchk | Run tests, where possible, on user objective function |

gHgen | Generate gradient and Hessian for a function at given... |

gHgenb | Generate gradient and Hessian for a function at given... |

grback | Backward difference numerical gradient approximation. |

grcentral | Central difference numerical gradient approximation. |

grchk | Run tests, where possible, on user objective function and... |

grfwd | Forward difference numerical gradient approximation. |

grnd | A reorganization of the call to numDeriv grad() function. |

hesschk | Run tests, where possible, on user objective function and... |

kktchk | Check Kuhn Karush Tucker conditions for a supposed function... |

optextras-package | A replacement and extension of the optim() function, plus... |

scalechk | Check the scale of the initial parameters and bounds input to... |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.