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Updates in VedicDateTime R Package
The VedicDateTime R package is a helpful tool for working with dates and times in the Vedic calendar system. However, the current version of the package has a few limitations and scope of improvements, including a lack of support for additional calendar systems and limited functionality for date and time calculations. In this project, we propose to update and improve the VedicDateTime package by implementing support for additional calendar systems, adding new functions for date and time calculations, improving the accuracy of the package, and expanding the documentation and examples. These updates will significantly enhance the functionality and accuracy of the VedicDateTime package, making it an even more valuable tool for users working with dates and times in the Vedic calendar system.
The VedicDateTime R package was developed in GSoC-2022 with the combined efforts of two projects: Part A and Part B, and its details are available in the journal article. The proposed package will be the modification in the VedicDateTime package to make it more powerful and user-friendly, enabling users to more easily and accurately work with dates and times in the Vedic calendar system.
The goal of this coding project is to upgrade the VedicDateTime R package, an R package. The expected tasks for this project are as follows:
- Implement support for additional calendar systems: The VedicDateTime package currently only supports the Surya Siddhanta and the Surya Siddhanta with True Sun calculations. We propose to implement support for additional calendar systems, such as the Sayana and the Drik Siddhanta, to increase the flexibility and utility of the package for users.
- Add new functions for date and time calculations: The VedicDateTime package currently provides functions for performing basic date and time calculations, such as calculating the difference between two dates or adding a certain number of days to a date. We propose to add new functions for more advanced calculations, such as calculating the tithi (lunar day) at a given date and time or finding the next full moon or new moon.
- Improve the accuracy of the package: The accuracy of the VedicDateTime package can be improved by implementing more advanced algorithms for converting between the Vedic and Gregorian calendars, and by incorporating more accurate data for leap years and other calendar events. We propose to research and implement these improvements to ensure that the package provides the most accurate and reliable results possible.
- Expand the documentation and examples: The VedicDateTime package currently provides some basic documentation and examples, but we propose to expand and improve upon this documentation to make it more comprehensive and user-friendly. This will include adding more detailed explanations of the functions and their inputs and outputs, as well as additional examples demonstrating their use in real-world scenarios.
This project will introduce a new calendar system that can have huge potential to discover meaningful patterns in natural time series. Besides, it will document the research contributions that can be a foundation for time series analysis based on a new calendar system.
EVALUATING MENTOR:
Neeraj Dhanraj Bokde, Senior Researcher, Technology Innovation Institute, Abu Dhabi, and was associated as Assistant Professor at Center for Quantitative Genetics and Genomics, Aarhus University, Denmark. [email protected]. Neeraj has a Ph.D. in Data Science and contributed several R packages related to time series analysis, testbenches, and domain-specific ones. Neeraj has been a GSOC mentor since 2020. https://www.neerajbokde.in/
Aditya Gupta is a researcher at the University of Adger, Norway, having sound experience in data science. Aditya has a Ph.D. in data-driven solutions for environmental issues. [email protected]
Contributors, please do one or more of the following tests before contacting the mentors above.
Students, please do one or more of the following tests before contacting the mentors above.
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Easy: Download the VedicDateTime package and demonstrate it with a naturally occurring time series. Document it with RMarkdown.
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Medium: Suggest possible updates or a new feature you would like to include in the next version of the VedicDateTime package.
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Hard: Develop a dummy code of 5 functions and a vignette and pass it with no Error/Warning/Note through https://win-builder.r-project.org/
Contributors, please post a link to your test results here.
- EXAMPLE CONTRIBUTOR 1 NAME, LINK TO GITHUB PROFILE, LINK TO TEST RESULTS.
| Contributor Name | GitHub Profile | Test Results |
|---|---|---|
| ------------------ | ---------------- | -------------- |