Man pages for shabbychef/madness
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 |
