Automatic Differentiation of Multivariate Operations

accessor-methods | Accessor methods. |

arithops | Basic Arithmetic Operations. |

as | Coerce madness to something else |

as.madness | Coerce to a madness object. |

bind | Row and Column Bind |

blockrep | Replicate blocks of multidimensional value. |

colsums | Form Row and Column Sums and Means |

det | Matrix Determinant |

eigen | Spectral Decomposition of a Matrix |

elwise | Element-wise Multivariate Operations |

extract-methods | Extract parts of a 'madness' value. |

madness-class | Madness Class. |

madness-pkg | Multivariate Automatic Differentiation. |

marithops | Basic Matrix Arithmetic Operations. |

matrix.trace | Matrix Trace |

matwise | Matrix-wise Multivariate Operations |

max | Maxima and Minima |

NEWS | News for package 'madness': |

norm | Matrix and vector norms. |

numderiv | Numerical (approximate) Differentiation. |

outer | Outer product. |

reshapes | Basic Reshape Operations |

setter-methods | Setter methods. |

show-methods | Show a madness object. |

solve | Basic Matrix Inversion |

stock_returns | Stock Returns Data |

sumprod | Sum and Product. |

theta | Estimate the symmetric second moment array of values. |

todiag | Diagonal Operations |

to_objective | Convert a madness object into an objective value with... |

twomoments | Estimate the mean and covariance of values. |

vcov.madness | Calculate Variance-Covariance Matrix for a model. |

vec | vectorize a multidimensional array. |

wff3 | Weekly Fama French 3 Factor Returns |

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