R-lifecycle
Port variant std
Summary Manage the Life Cycle of your Package Functions
BROKEN
Package version 1.0.4
Homepage https://lifecycle.r-lib.org/
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 09 AUG 2024, 21:24:17 UTC
Port created 14 APR 2020, 06:14:40 UTC
Subpackage Descriptions
single lifecycle: Manage the Life Cycle of your Package Functions Manage the life cycle of your exported functions with shared conventions, documentation badges, and user-friendly deprecation warnings.
Configuration Switches (platform-specific settings discarded)
This port has no build options.
Package Dependencies by Type
Build (only) gmake:primary:std
R:primary:std
icu:dev:std
Build and Runtime R-cli:single:std
R-glue:single:std
R-rlang:single:std
Runtime (only) R:primary:std
R:nls:std
Download groups
main mirror://CRAN/src/contrib
https://loki.dragonflybsd.org/cranfiles/
Distribution File Information
ada4d3c7e84b0c93105e888647c5754219a8334f6e1f82d5afaf83d4855b91cc 107656 CRAN/lifecycle_1.0.4.tar.gz
Ports that require R-lifecycle:std
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R-clock:std Date-Time Types and Tools
R-dbplyr:std 'dplyr' Back End for Databases
R-devtools:std Tools to Make Developing R Packages Easier
R-dials:std Tools for Creating Tuning Parameter Values
R-dplyr:std Grammar of Data Manipulation
R-dtplyr:std Data Table Back-End for 'dplyr'
R-forcats:std Tools for Working with Categorical Variables
R-furrr:std Apply Mapping Functions in Parallel using Futures
R-gargle:std Utilities for Working with Google APIs
R-ggforce:std Accelerating 'ggplot2'
R-ggplot2:std Data visualizations using Grammar of Graphics
R-ggraph:std Grammar of Graphics implementation
R-gh:std 'GitHub' 'API'
R-googledrive:std Interface to Google Drive
R-googlesheets4:std Access Google Sheets using the Sheets API V4
R-gtable:std Arrange 'Grobs' in Tables
R-haven:std Import and Export 'SPSS', 'Stata' and 'SAS' Files
R-hms:std Pretty Time of Day
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R-infer:std Tidy Statistical Inference
R-janitor:std Simple Tools for Examining and Cleaning Dirty Data
R-odbc:std DBI-compatible interface to ODBC databases
R-parsnip:std Common API to Modeling and Analysis Functions
R-pillar:std Coloured Formatting for Columns
R-pkgload:std Simulate Package Installation and Attach
R-purrr:std Functional Programming Tools
R-readr:std Read Rectangular Text Data
R-recipes:std Preprocessing Tools to Create Design Matrices
R-reprex:std Prepare Reproducible Example Code via Clipboard
R-rio:std Swiss-Army Knife for Data I/O
R-rsample:std General Resampling Infrastructure
R-rvest:std Easily Harvest (Scrape) Web Pages
R-scales:std Scale Functions for Visualization
R-shiny:std Web Application Framework for R
R-stringr:std Consistent wrappers for common string Operations
R-systemfonts:std System Native Font Finding
R-testthat:std Unit Testing for R
R-textshaping:std Binding to textshaping libraries
R-tibble:std Simple Data Frames
R-tidygraph:std Tidy API for Graph Manipulation
R-tidyr:std Tidy Messy Data
R-tidyselect:std Select from a Set of Strings
R-tidytext:std Text mining tool
R-tune:std Tidy Tuning Tools
R-usethis:std Automate Package and Project Setup
R-vctrs:std Vector Helpers
R-vroom:std Read and Write Rectangular Text Data Quickly
R-workflows:std Modeling Workflows
R-workflowsets:std Create a Collection of 'tidymodels' Workflows
R-yardstick:std Tidy Characterizations of Model Performance