'Semantic Versioning V2.0.0' Parser

Tools and functions for parsing, rendering and operating on semantic version strings. Semantic versioning is a simple set of rules and requirements that dictate how version numbers are assigned and incremented as outlined at < https://semver.org>.

semver

CRAN version	Travis build status	Appveyor build status	Coverage

Installation

You can install semver from github with:

# install.packages("devtools")
devtools::install_github("johndharrison/semver")

Introduction

The semver package provides tools and functions for parsing, rendering and operating on semantic version strings. Semantic versioning is a simple set of rules and requirements that dictate how version numbers are assigned and incremented as outlined at https://semver.org.

A basic summary of how semantic versioning operates is given a version number MAJOR.MINOR.PATCH, increment the:

1. MAJOR version when you make incompatible API changes,
2. MINOR version when you add functionality in a backwards-compatible manner, and
3. PATCH version when you make backwards-compatible bug fixes.

Additional labels for pre-release and build metadata are available as extensions to the MAJOR.MINOR.PATCH format.

semver package

The semver package provides a wrapper for the C++14 semantic versioning parser written by Marko Živanović. The project is currently hosted on github. The Rcpp package was used to provide R bindings. Some changes were made on the C++ side as currently CRAN does not accept packages compiling under C++14 (R version 3.4.0 should allow this in future).

Examples

semver <- parse_version(c("1.2.3", "1.2.4", "1.0.0", "1.2.4-beta", "2.1.3-alpha", "1.9.4"))
max(semver)
ver124a <- semver[semver > "1.2.4-alpha"]
sort(ver124a)
# compare versions
semver[[1]] < semver[[2]]

# compare against a version
semver > semver[1]

# compare against a character string
semver > "1.7.2"

# sort versions
sort(semver)
order(semver)
rank(semver)

# get summary statistics
min(semver)
max(semver)
range(semver)

# coerce versions
as.character(semver)
as.data.frame(semver)

For more detail see the vignette semver: Basics