| makedesign | generates with help of userdialog design matrices for the dpls macro (dynamic partial least squares algorithm) |
| makehelp | makehelp invokes the automatic translator for generating help pages. |
| maketr | Returns a specified subtree of the given regression tree. |
| mat2rot | Decomposes an orthonormal matrix into a set of rotation matrices. |
| mat2txt | |
| mat2vec | stores the upper triangle of a symmetric matrix into a vector regarding the sequence described in agglom |
| mathmain | sets defaults for library math |
| mathtest | executes some tests for the macros defined in math.lib. |
| matrix | matrix generates arrays up to eight dimensions. |
| max | max computes the maximal value of the elements of an array regarding a given dimension. |
| maxind | maxind gives a row vector with the index of the maximum element in each column of a matrix. As usally this functionality extends to higher dimensional arrays. |
| mcmillan | calculates option prices using the MC Millan formula |
| mean | mean computes the mean of the elements of an array regarding a given dimension. |
| measure | computes coefficients of association between two two partitions which are crossed and build up a contingency table |
| median | Computes the empirical medians of a given array. |
| metricsmain | loads the libraries needed by the macros in the metrics library |
| metricstest | executes some tests for the macros defined in metrics.lib Is invoked by vertest(). |
| min | min computes the minimum value of the elements of an array regarding a given dimension. |
| minind | minind gives a row vector with the index of the minimum element in each column of a matrix. As usally this functionality extends to higher dimensional arrays. |
| minute | returns the minute as a string |
| missings | offers three possibilities to the user to handle the missing values in the data set. It is possible to exclude the variable, the case or to replace the missing with a specified value. |
| missingsmethod | offers three possibilities to the user to handle the missing values in the data set. It is possible to exclude the variable, the case or to replace the missing with a specified value. |
| mknn | mknn gives an array containing the indices of the k nearest neighbors of each element in matrix y with respect to x. The parameter y is optional, if it is not given, x will be taken for y. As a measure of distance the squared euclidean distance is used. |
| mleev | Maximum likelihood estimator for EV model |
| mleev0 | Maximum likelihood estimator for Gumbel (EV0) model |
| mlegp | Maximum likelihood estimator for GP model |
| mlegp | Maximum likelihood estimator for GP model |
| mlegp0 | Maximum likelihood estimator for exponential (GP0) model |
| mlegpdiag | Diagram of maximum likelihood estimator for GP model. |
| modelci | general analysis for cointegration |
| modelfr | general analysis for the Full VAR Model, called by the macro domulti |
| modelrr | general analysis for the Reduced Rank VAR Model, called by the macro domulti |
| modelss | general analysis for the Subset VAR Model, called by the macro domulti |
| momentgp | Moment estimator for GP model. |
| momentgp | Moment estimator for GP model. |
| momentgpdiag | Diagram of moment estimator for GP model. |
| month | returns the month as a string |
| mseq | Computes a multiplicative sequence. |
| multimain | sets defaults for library multi |
| multiplot | |
| multitest | executes some tests for the macros defined in multi.lib. Is invoked by vertestl(). |
| muunna |