MSGARCH | More about MSGARCH available at http : //keblu | Predictive Analytics library

 by   keblu R Version: Current License: No License

kandi X-RAY | MSGARCH Summary

kandi X-RAY | MSGARCH Summary

MSGARCH is a R library typically used in Analytics, Predictive Analytics applications. MSGARCH has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

More about MSGARCH available at
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            kandi-support Support

              MSGARCH has a low active ecosystem.
              It has 52 star(s) with 24 fork(s). There are 18 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 6 open issues and 64 have been closed. On average issues are closed in 59 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of MSGARCH is current.

            kandi-Quality Quality

              MSGARCH has no bugs reported.

            kandi-Security Security

              MSGARCH has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              MSGARCH does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              MSGARCH releases are not available. You will need to build from source code and install.

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            MSGARCH Key Features

            No Key Features are available at this moment for MSGARCH.

            MSGARCH Examples and Code Snippets

            No Code Snippets are available at this moment for MSGARCH.

            Community Discussions

            Trending Discussions on MSGARCH

            QUESTION

            MSGARCH package in R
            Asked 2018-Apr-29 at 06:03

            In a "rugarch" package garch specification looks like this:

            ...

            ANSWER

            Answered 2018-Apr-29 at 06:03

            The MSGARCH package is based on the assumption of zero conditional mean, hence the model has to be built of an de-meaned time series. MSGARCH

            Source https://stackoverflow.com/questions/49995513

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install MSGARCH

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/keblu/MSGARCH.git

          • CLI

            gh repo clone keblu/MSGARCH

          • sshUrl

            git@github.com:keblu/MSGARCH.git

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