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::: Software
Server Software
Software from CRC 649 researchers
::: Server Software
The CRC 649 servers offer an array of scientific software which is available to staff and guests.
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Software |
Description |
Manual |
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MATLAB |
Software for scientific-technical calculations incl. interactive exercises for developing algorithms for the
visualizations and analysis of data and numerical calculations. |
Manual |
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Mathematica |
System software for numerical and symbolic calculations and simulations. |
Manual |
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Stata 11SE |
An extensive statistical sofware package with user freindly statistical and graphical functions for the analysis and visualisation of data.
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Manual |
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SAS 9.2 |
software package to manage data and their statistical analysis |
Manual |
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Gauss 10 |
Matrix programming language for mathematical and statistical applications |
Manual |
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C/C++ Compiler |
Compiling of C, C++ and Objective C Programs. |
Manual |
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Fortran Compiler |
Compiling of FORTRAN Programs. |
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R |
R is a language and environment for statistical computing and graphics. |
Manual |
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In order to use the server software a vaild RDC account is necessary.
To attain one please submit a completed request.
::: Software from CRC 649 researchers
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Software |
Description |
Author |
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 JMulti
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An interactive software designed for univariate and multivariate time series
analysis. |
Markus Krätzig |
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TOOLKIT
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A toolkit for analyzing nonlinear economic dynamic models easily. |
Prof. Harald Uhlig |
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XploRe
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A combination of classical and modern statistical procedures, in conjunction
with sophisticated, interactive graphics. |
Prof. Wolfgang Härdle |
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RTAQ-script
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A shell script to split TAQ-Files to be used with the RTAQ-package in R. A unix os or Cygwin is required to use this script. |
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Nonlinear MA
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A Dynare add-on for solving and analyzing nonlinear dynamic stochastic general equilibrium models with nonlinear moving averages. |
Alexander Meyer-Gohde,
Hong Lan |
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LinLagEx
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A Matlab toolbox for solving and estimating linear dynamic stochastic general equilibrium models with lagged expectations.
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Alexander Meyer-Gohde |
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