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.
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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.
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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. |
merge | combines columnwise up to eight 2-dim arrays with different dimension, the difference in rows dimensions is replaced with NaNīs |
merge1 | support quantlet for merge (see merge) |
metricsmain | loads the quantlibs needed by the quantlets in the metrics quantlib |
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 |
mlegp0 | Maximum likelihood estimator for exponential (GP0) model |
mlegpdiag | Vector of maximum likelihood estimator for GP model. |
modelci | general analysis for cointegration |
modelfr | general analysis for the Full VAR Model, called by the quantlet domulti |
modelrr | general analysis for the Reduced Rank VAR Model, called by the quantlet domulti |
modelss | general analysis for the Subset VAR Model, called by the quantlet domulti |
momentgp | Moment estimator for GP model. |
momentgpdiag | Vector of moment estimator for GP model. |
month | returns the month as a string |
mseq | Computes a multiplicative sequence. |
multimain | sets defaults for quantlib multi |
multiplot | Plots K-dimensional time series. |
multitest | executes some tests for the quantlets defined in multi.lib. Is invoked by vertestl(). |
muunna | Supporting Quantlet for cartsplit |