Git Product home page Git Product logo

ntsdists's Introduction

ntsDists

R-CMD-check CRAN_Status_Badge Downloads per month Total Downloads Licence

The R package ntsDists computes some measures of neutrosophic family of distributions in the area of statistical analysis. More details can be found Rao et al. (2023).

This work is funded by national funds through the FCT - Fundação para a Ciência e a Tecnologia, I.P., under the scope of the projects UIDB/00297/2020 and UIDP/00297/2020 (Center for Mathematics and Applications)".

Installation

You can install the stable version from CRAN.

install.packages('ntsDists', dependencies = TRUE)

You can install the development version from Github

# install.packages("remotes")
remotes::install_github("dmazarei/ntsDists")

To cite package ntsDists in publications use:

Mazarei, D., Esmaeili, F., Roshani, A., Norouzirad, M., Rao, G. S. (2023). ntsDists: Neutrosophic distributions. R package version 2.0.0, https://cran.r-project.org/package=ntsDists.

A BibTeX entry for LaTeX users is

@Manual{ntsDists, title = {ntsDists: Neutrosophic distributions}, author = {Danial Mazarei and Foad Esmaeili and Amin Roshani and Mina Norouzirad and Gadde Srinivasa Rao}, year = {2023}, note = {R package version 2.0.0}, url = {https://cran.r-project.org/package=ntsDists} }

License

This package is free and open source software, licensed under GPL-3.

ntsdists's People

Stargazers

 avatar  avatar

Watchers

 avatar  avatar

ntsdists's Issues

Release ntsDists 2.0.0

Prepare for release:

  • git pull
  • Check current CRAN check results
  • Polish NEWS
  • usethis::use_github_links()
  • urlchecker::url_check()
  • devtools::check(remote = TRUE, manual = TRUE)
  • devtools::check_win_devel()
  • revdepcheck::revdep_check(num_workers = 4)
  • Update cran-comments.md
  • git push
  • Draft blog post

Submit to CRAN:

  • usethis::use_version('major')
  • devtools::submit_cran()
  • Approve email

Wait for CRAN...

  • Accepted 🎉
  • Add preemptive link to blog post in pkgdown news menu
  • usethis::use_github_release()
  • usethis::use_dev_version(push = TRUE)
  • Finish blog post
  • Tweet

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.