Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

makedesign - maxind - minind - modelci - multitest - muunna
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.
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

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

(C) MD*TECH Method and Data Technologies, 21.9.2000