edit |
edit opens a editor window with the respective matrix.
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editmac |
editmac starts an editor to view or change a definition of quantlets.
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eigensm | Computes the eigenvalues and eigenvectors of symmetric matrices and sorts by the eigenvalues in descending order. |
eiggn | eiggn computes the eigenvalues and eigenvectors of a quadratic matrix (or array) in unsorted order. |
eigsm | eigsm computes the eigenvalues and eigenvectors of a symmetric matrix in unsorted order. As usally this functionality extends to higher dimensional arrays. |
eiscg | Computes the eigenvalues and eigenvectors of a complex general matrix |
eisrg | Computes the eigenvalues and eigenvectors of a real general matrix |
eisrs | Computes the eigenvalues and eigenvectors of a real symmetric square matrix |
eivknownatt | eivknownatt presents the moment estimates of the parameters in the measurement error models, which has only one variable x. The degree of attenuation (also called reliability ratio) is known. All of the variables obey normal distributions. |
eivknownratue | eivknownratue presents the moment estimates of the parameters in the measurement error models, which has only one variable x. The ratio of two variances of the two measurement errors is known. All of the variables obey normal distributions. |
eivknownvaru | eivknownvaru presents the moment estimates of the parameters in the measurement error models, which has only one variable x. The variance of measurement error sigma_u is known. All of the variables obey normal distributions. |
eivknownvarumod | eivknownvarumod presents modified moment estimates of parameters for the measurement error models, which has only one variable x. The variance of measurement error sigma_u is known. All of the variables obey normal distributions. |
eivlinearinstr | eivlinearinstr presents the moment estimates of the regression coefficients in the measurement error model with single predictor, which has an instrumental variable W. All of the variables obey normal distributions. All parameters are estimated by moment method in measurement error models. |
eivlinearinstrvec | eivlinearinstrvec handle vector-explanatory variable model, which extends the results given by eivlinearinstr. The calculating results are based on moment methods. |
eivplmnor | eivplmnor fits partially linear EIV model where the conditional distribution of y given x and t is normally distributed. |
eivtest | eivtest verifies the EIV macros. |
eivvec1 | eivvect1 presents the maximum likelihood estimators of the parameters in the measurement error models, which has more than one variable x. The covariances between e and u, Sigeu and the covariance matrix of u, siguu are known. All of the variables obey normal distributions. All parameters are estimated by maximum likelihood method in measurement error models. |
eivvec2 | eivvect2 calculates the maximum likelihood estimators of the parameters in the measurement error models when the entire error covariance structure is known or known up to a scalar multiple. This macro deals with the extension of the model considered in eivknownvaru. |
else | else branches in if-endif sequences. It is an optional part of this sequences. |
empme | empme evalatues the empirical mean excess function of the data set x at the points t |
endif | endif ends an if-endif sequence. If has to be followed by an endif. Else is an optional part of if sequences. |
endo | endo end a while loop. while has to be followed by an endo. |
endp |
denotes the end of the currently defined procedure
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endpoint | Supporting Quantlet for cartsplit |
endsw | endsw finishes a switch-endsw block. It serves as branch destination for the different breaks inside the block. |
epa | epa computes the epanechnikov kernel, multivariate |
eppet | Optimizes the Entropy index. |
eppft | Optimizes the Friedman-Tukey index. |
eppher | Optimizes the Hermite index |
eppleg | Optimizes the Legendre index. |
eppnh | Optimizes the Hermite index. |
epscontnorm |
Produces T i.i.d. Variates from an eps-contamination
Model P= (1-eps) N(mid,Cid) + eps K with K=N(mcont,Ccont) if DirNorm ==0 with K=dirac(mcont) if DirNorm == -1 with K=dirac( +/- mcont) if DirNorm == 1
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erf | erf returns the error function. |
erfc | erfc returns 1.0 - erf(x). |
erfkl | Kullback-Leibler criterion for classification |
erfqua | (1-R^2) criterion for regression |
ErrDLL | This macro evaluates and displays error-messages from the eispack.dll, eispack.so respectively. |
error |
error is used to communicate out of XploRe programs.
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estabr | estimation of reduced rank VAR model |
european | starting program to calculate option prices or implied volatilities for european options |
evci | auxiliary quantlet for cointegration |
ew2inn | Auxiliary routine for rICfil: calculates E[ min(t^2,u^2) ] for u square root of a Chi^2_p-variable, (recursively in dimension p) |
ewinn | Auxiliary routine for rICfil: calculates E[ u min(t,u) ] for u square root of a Chi^2_p-variable, (recursively in dimension p) |
excess | Computes the excess (kurtosis-3) for a given vector. |
exec | Executes the given string as if it was entered in the command line. |
execfile | execfile executes all commands contained in the specified file. Files are only seeked in the current directory. If necessary the suffix '.xpl' is appended. If both versions, i.e. with and without suffix, are available the file with suffix will be processed. |
exist |
exist tries to find if the input object exists or not. If the object exists, exist gives the typ of the object.
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existglobal |
existglobal checks existence of a global variable
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exp |
exp produces the exponentation to base e=2.7181... of the elements in an array.
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expm1 | expm1 computes e^(x-1) accurately even for tiny x. |
eye | creating a d-dimensional identity matrix |