tsgam | Functions for using GAMs to model time series | Runtime Evironment library

 by   gavinsimpson R Version: Current License: Non-SPDX

kandi X-RAY | tsgam Summary

kandi X-RAY | tsgam Summary

tsgam is a R library typically used in Server, Runtime Evironment, Nodejs applications. tsgam has no bugs, it has no vulnerabilities and it has low support. However tsgam has a Non-SPDX License. You can download it from GitHub.

Functions for using GAMs to model time series. I've abondonded this project, moving development to the schoenberg pkg.
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              tsgam has a low active ecosystem.
              It has 31 star(s) with 3 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 6 have been closed. On average issues are closed in 79 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of tsgam is current.

            kandi-Quality Quality

              tsgam has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              tsgam has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

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

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            tsgam Key Features

            No Key Features are available at this moment for tsgam.

            tsgam Examples and Code Snippets

            No Code Snippets are available at this moment for tsgam.

            Community Discussions

            QUESTION

            Fitting many GAMs and extracting derivatives using dplyr, etc
            Asked 2017-Nov-01 at 07:38

            I need to fit a GAM to a time series of satellite-derived phenology data (EVI) for >1000 bird nests across North America. The GAM looks like this:

            EVI ~ s(Day)

            This model needs to be fit for each nest in multiple years. After fitting the GAM, I then need to extract the derivatives, which can be used to get the day that spring starts in each year for each nest.

            Ideally I'm looking to use the tidyverse and associated packages to fit the GAMs for each nest and year. I'd then like to get the first derivatives for each of those models. Because it is a large data set (>1000 models) it is not feasible to do this manually for each model.

            Here's what my code currently looks like:

            Libraries:

            ...

            ANSWER

            Answered 2017-Nov-01 at 07:38

            If I understand you right, you can use this solution :

            Source https://stackoverflow.com/questions/47047575

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

            Vulnerabilities

            No vulnerabilities reported

            Install tsgam

            You can download it from GitHub.

            Support

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            CLONE
          • HTTPS

            https://github.com/gavinsimpson/tsgam.git

          • CLI

            gh repo clone gavinsimpson/tsgam

          • sshUrl

            git@github.com:gavinsimpson/tsgam.git

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