| Port variant | std |
| Summary | Character string processing facilities |
| Package version | 1.8.7 |
| Homepage | https://stringi.gagolewski.com/ |
| Keywords | cran |
| Maintainer | CRAN Automaton |
| License | Not yet specified |
| Other variants | There are no other variants. |
| Ravenports | Buildsheet | History |
| Ravensource | Port Directory | History |
| Last modified | 29 MAR 2025, 03:39:14 UTC |
| Port created | 15 APR 2020, 06:14:40 UTC |
| single | stringi: Fast and Portable Character String Processing Facilities A collection of character string/text/natural language processing tools for pattern searching (e.g., with 'Java'-like regular expressions or the 'Unicode' collation algorithm), random string generation, case mapping, string transliteration, concatenation, sorting, padding, wrapping, Unicode normalisation, date-time formatting and parsing, and many more. They are fast, consistent, convenient, and - thanks to 'ICU' (International Components for Unicode) - portable across all locales and platforms. Documentation about 'stringi' is provided via its website at <https://stringi.gagolewski.com/> and the paper by Gagolewski (2022, <doi:10.18637/jss.v103.i02>). |
| Build (only) |
gmake:primary:std R:primary:std icu:dev:std |
| Runtime (only) |
R:primary:std R:nls:std |
| main | mirror://CRAN/src/contrib https://loki.dragonflybsd.org/cranfiles/ |
| R-data.tree:std | General Purpose Hierarchical Data Structure |
| R-janitor:std | Simple Tools for Examining and Cleaning Dirty Data |
| R-openxlsx:std | Read, Write and Edit xlsx Files |
| R-qdapRegex:std | Regex removal, extraction and replacement tools |
| R-roxygen2:std | In-Line Documentation for R |
| R-sentimentr:std | Calculate Text Polarity Sentiment |
| R-snakecase:std | Convert Strings into any Case |
| R-stringr:std | Consistent wrappers for common string Operations |
| R-textclean:std | Text Cleaning Tools |
| R-textshape:std | Tools for Reshaping Text |
| R-textshaping:std | Binding to textshaping libraries |
| R-timetk:std | Tool Kit for Working with Time Series |
| R-tokenizers:std | Fast tokenization of natural language text |