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makedesign |
generates with help of userdialog design matrices
for the dpls macro (dynamic partial least
squares algorithm)
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makehelp |
makehelp invokes the automatic translator for generating help pages.
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maketr |
Returns a specified subtree of the given regression tree.
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mat2rot |
Decomposes an orthonormal matrix into a set of rotation
matrices.
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mat2txt |
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mat2vec |
stores the upper triangle of a symmetric matrix
into a vector regarding the sequence described
in agglom
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mathmain |
sets defaults for library math
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mathtest |
executes some tests for the macros defined
in math.lib.
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matrix |
matrix generates arrays up to eight dimensions.
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max |
max computes the maximal value of the elements of an array regarding a given dimension.
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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.
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mcmillan |
calculates option prices
using the MC Millan formula
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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
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median |
Computes the empirical medians of a given array.
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metricsmain |
loads the quantlibs needed by the quantlets in the
metrics quantlib
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metricstest |
executes some tests for the macros defined
in metrics.lib Is invoked by vertest().
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min |
min computes the minimum value of the elements of an array regarding a given dimension.
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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.
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minute |
returns the minute as a string
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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.
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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.
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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.
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mleev |
Maximum likelihood estimator for EV model
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mleev0 |
Maximum likelihood estimator for Gumbel (EV0) model
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mlegp |
Maximum likelihood estimator for GP model
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mlegp0 |
Maximum likelihood estimator for exponential (GP0) model
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mlegpdiag |
Vector of maximum likelihood estimator for GP model.
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modelci |
general analysis for cointegration
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modelfr |
general analysis for the Full VAR Model, called
by the quantlet domulti
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modelrr |
general analysis for the Reduced Rank VAR Model,
called by the quantlet domulti
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modelss |
general analysis for the Subset VAR Model, called
by the quantlet domulti
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momentgp |
Moment estimator for GP model.
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momentgpdiag |
Vector of moment estimator for GP model.
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month |
returns the month as a string
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Motion |
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mseq |
Computes a multiplicative sequence.
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multimain |
sets defaults for quantlib multi
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multiplot |
Plots K-dimensional time series.
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multitest |
executes some tests for the quantlets defined
in multi.lib. Is invoked by vertestl().
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muunna |
Supporting Quantlet for cartsplit
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