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edit approved Mar 25, 2017 at 4:17
Stephen Rauch
edit approved Mar 25, 2017 at 4:17
Stephen Rauch
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The JIDT toolkitJIDT toolkit which is the successor to the Matlab code in my high level summary linked in the original question, provides transfer entropy estimators for both discrete and continuous data, including various estimators for continuous data (Gaussian, box-kernel, Kraskov).

It can be used to calculate transfer entropy in R; this is carried out via the standard rJava package (R-to-Java interface).

The JIDT wiki pageswiki pages describe how to get start using JIDT in R and provide several code examples.

The JIDT toolkit which is the successor to the Matlab code in my high level summary linked in the original question, provides transfer entropy estimators for both discrete and continuous data, including various estimators for continuous data (Gaussian, box-kernel, Kraskov).

It can be used to calculate transfer entropy in R; this is carried out via the standard rJava package (R-to-Java interface).

The JIDT wiki pages describe how to get start using JIDT in R and provide several code examples.

The JIDT toolkit which is the successor to the Matlab code in my high level summary linked in the original question, provides transfer entropy estimators for both discrete and continuous data, including various estimators for continuous data (Gaussian, box-kernel, Kraskov).

It can be used to calculate transfer entropy in R; this is carried out via the standard rJava package (R-to-Java interface).

The JIDT wiki pages describe how to get start using JIDT in R and provide several code examples.

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gung - Reinstate Monica
gung - Reinstate Monica
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The JIDT toolkit -- http://code.google.com/p/information-dynamics-toolkit/JIDT toolkit -- which is the successor to the Matlab code in my high level summary linked in the original question, provides transfer entropy estimators for both discrete and continuous data, including various estimators for continuous data (Gaussian, box-kernel, Kraskov).

It can be used to calculate transfer entropy in R; this is carried out via the standard rJava package (R-to-Java interface).

The JIDT wiki pageswiki pages describe how to get start using JIDT in R and provide several code examples, see: http://code.google.com/p/information-dynamics-toolkit/wiki/R_Examples.

The JIDT toolkit -- http://code.google.com/p/information-dynamics-toolkit/ -- which is the successor to the Matlab code in my high level summary linked in the original question, provides transfer entropy estimators for both discrete and continuous data, including various estimators for continuous data (Gaussian, box-kernel, Kraskov).

It can be used to calculate transfer entropy in R; this is carried out via the standard rJava package (R-to-Java interface).

The JIDT wiki pages describe how to get start using JIDT in R and provide several code examples, see: http://code.google.com/p/information-dynamics-toolkit/wiki/R_Examples

The JIDT toolkit which is the successor to the Matlab code in my high level summary linked in the original question, provides transfer entropy estimators for both discrete and continuous data, including various estimators for continuous data (Gaussian, box-kernel, Kraskov).

It can be used to calculate transfer entropy in R; this is carried out via the standard rJava package (R-to-Java interface).

The JIDT wiki pages describe how to get start using JIDT in R and provide several code examples.

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Joseph Lizier
Joseph Lizier
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The JIDT toolkit -- http://code.google.com/p/information-dynamics-toolkit/ -- which is the successor to the Matlab code in my high level summary linked in the original question, provides transfer entropy estimators for both discrete and continuous data, including various estimators for continuous data (Gaussian, box-kernel, Kraskov).

It can be used to calculate transfer entropy in R; this is carried out via the standard rJava package (R-to-Java interface).

The JIDT wiki pages describe how to get start using JIDT in R and provide several code examples, see: http://code.google.com/p/information-dynamics-toolkit/wiki/R_Examples