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https://github.com/bisaloo/reviewlinters

A collection of poorly tested linters with many false positive to assist your manual R package review

https://github.com/bisaloo/reviewlinters

Science Score: 26.0%

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

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

A collection of poorly tested linters with many false positive to assist your manual R package review

Basic Info
  • Host: GitHub
  • Owner: Bisaloo
  • Language: R
  • Default Branch: main
  • Size: 45.9 KB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 11 months ago · Last pushed 11 months ago
Metadata Files
Readme

README.Rmd 

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# reviewlinters




The goal of reviewlinters is to provide some linters to draw your attention to specific dubious patterns during your R package review.

The difference with the [lintr](https://lintr.r-lib.org/) package are:

- this package also provides linters that can generate many false positives since they will be reviewed manually. This is diametrically opposed to lintr approach which tries to avoid false positives as much as possible
- this package sometimes provide very niche linters, useful to maybe only one or two of my own packages
- this package provides very experimental, unpolished and sometimes undocumented linters

Linters from this package are regularly reviewed to determine if they are worth upstreaming to the lintr package itself.

## Installation

You can install the development version of reviewlinters from [GitHub](https://github.com/) with:

``` r
# install.packages("pak")
pak::pak("Bisaloo/reviewlinters")
```

Owner

  • Name: Hugo Gruson
  • Login: Bisaloo
  • Kind: user
  • Location: Heidelberg
  • Company: EMBL

Evolutionary Biologist turned Research Software Engineer in R.

GitHub Events

Total
  • Push event: 6
  • Create event: 1
Last Year
  • Push event: 6
  • Create event: 1

Dependencies

.github/workflows/R-CMD-check.yaml actions
  • actions/checkout v4 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/pkgdown.yaml actions
  • JamesIves/github-pages-deploy-action v4.7.3 composite
  • actions/checkout v4 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
  • untitaker/hyperlink 0.1.44 composite
.github/workflows/test-coverage.yaml actions
  • actions/checkout v4 composite
  • actions/upload-artifact v4 composite
  • codecov/codecov-action v5 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
DESCRIPTION cran
  • glue * imports
  • lintr * imports
  • xml2 * imports