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fitautoreg

https://github.com/ijapesigan/fitautoreg

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
    Found CITATION.cff file
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    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
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    Found 2 DOI reference(s) in README
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    Scientific vocabulary similarity
    Low similarity (10.9%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: ijapesigan
  • License: gpl-3.0
  • Language: TeX
  • Default Branch: main
  • Size: 30.8 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed over 2 years ago
Metadata Files
Readme Changelog License Citation

README.md

fitAutoReg

Ivan Jacob Agaloos Pesigan 2023-09-25

R-CMD-check test-coverage lint pkgdown codecov <!-- badges: end -->

Description

Fit autoregressive models using ‘RcppArmadillo’.

Installation

You can install the released version of fitAutoReg from GitHub with:

r if (!require("remotes")) install.packages("remotes") remotes::install_github("ijapesigan/fitAutoReg")

More Information

See GitHub Pages for package documentation.

References

Eddelbuettel, D., & Sanderson, C. (2014). RcppArmadillo: Accelerating R with high-performance C++ linear algebra. *Computational Statistics & Data Analysis*, *71*, 1054–1063.
R Core Team. (2023). *R: A language and environment for statistical computing*. R Foundation for Statistical Computing.

Owner

  • Login: ijapesigan
  • Kind: user

Citation (CITATION.cff) 

# -----------------------------------------------------------
# CITATION file created with {cffr} R package, v0.5.0
# See also: https://docs.ropensci.org/cffr/
# -----------------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "fitAutoReg" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'fitAutoReg: Fit Autoregressive Models'
version: 0.9.1
abstract: Fit autoregressive models using 'RcppArmadillo'.
authors:
- family-names: Pesigan
  given-names: Ivan Jacob Agaloos
  email: r.ijapesigan@gmail.com
  orcid: https://orcid.org/0000-0003-4818-8420
preferred-citation:
  type: manual
  title: 'fitAutoReg: Fit Autoregressive Models'
  authors:
  - family-names: Pesigan
    given-names: Ivan Jacob Agaloos
    email: ijapesigan@gmail.com
    orcid: https://orcid.org/0000-0003-4818-8420
  year: '2023'
  notes: R package version 0.9.1
repository-code: https://github.com/ijapesigan/fitAutoReg
url: https://ijapesigan.github.io/fitAutoReg/
contact:
- family-names: Pesigan
  given-names: Ivan Jacob Agaloos
  email: r.ijapesigan@gmail.com
  orcid: https://orcid.org/0000-0003-4818-8420

GitHub Events

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Dependencies

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DESCRIPTION cran
  • R >= 3.0.0 depends
  • Rcpp * imports
  • dynr * imports
  • MASS * suggests
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.devcontainer/Dockerfile docker
  • ijapesigan/r2u-r-project latest build