lspline | R package : Linear Splines with Convenient Parametrisations

 by   mbojan R Version: Current License: Non-SPDX

kandi X-RAY | lspline Summary

kandi X-RAY | lspline Summary

lspline is a R library. lspline has no bugs, it has no vulnerabilities and it has low support. However lspline has a Non-SPDX License. You can download it from GitHub.

lspline: Linear Splines with Convenient Parametrisations. Inspired by Stata command mkspline and function ares::lspline from Junger & Ponce de Leon (2011). As such, the implementation follows Greene (2003), chapter 7.5.2.
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              lspline has a low active ecosystem.
              It has 8 star(s) with 0 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 20 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of lspline is current.

            kandi-Quality Quality

              lspline has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              lspline 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

              lspline releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            lspline Key Features

            No Key Features are available at this moment for lspline.

            lspline Examples and Code Snippets

            No Code Snippets are available at this moment for lspline.

            Community Discussions

            QUESTION

            Better way of generating linear spline based on vertexes
            Asked 2018-Aug-30 at 11:21

            I'm trying to calculate y values based on x values and a series of curves defined by a set of vertices. I'm pretty new to R, and couldn't find a direct way to do this. I've found a couple of methods, but I am looking for a better method to generate a formula I can then apply to a series of data frames, to use in further transformations. The curves and vertices are literature values, and I need to use them as they are (linear line segments going through each vertex), rather than interpreting a model based on the points and then adding predictions.

            ...

            ANSWER

            Answered 2018-Aug-30 at 11:06

            You can use approx function to linearly interpolate the data between your data points please see as below for 1000 interpolated points:

            Source https://stackoverflow.com/questions/48516905

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

            Vulnerabilities

            No vulnerabilities reported

            Install lspline

            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
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            https://github.com/mbojan/lspline.git

          • CLI

            gh repo clone mbojan/lspline

          • sshUrl

            git@github.com:mbojan/lspline.git

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