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'GitHub' 'API'
Minimal client to access the 'GitHub' 'API'.
Find Tools Needed to Build R Packages
Provides functions used to build R packages. Locates compilers needed to build R packages on various platforms and ensures the PATH is configured appropriately so R can use them.
Expanded Replacement and Extension of the 'optim' Function
Provides a replacement and extension of the optim() function to call to several function minimization codes in R in a single statement. These methods handle smooth, possibly box constrained functions of several or many parameters. Note that function 'optimr()' was prepared to simplify the incorporation of minimization codes going forward. Also implements some utility codes and some extra solvers, including safeguarded Newton methods. Many methods previously separate are now included here. This is the version for CRAN.
R Session Information
Query and print information about the current R session. It is similar to 'utils::sessionInfo()', but includes more information about packages, and where they were installed from.
Username, Full Name, Email Address, 'GitHub' Username of the Current User
Look up the username and full name of the current user, the current user's email address and 'GitHub' username, using various sources of system and configuration information.
Query 'git' Credentials from 'R'
Query, set, delete credentials from the 'git' credential store. Manage 'GitHub' tokens and other 'git' credentials. This package is to be used by other packages that need to authenticate to 'GitHub' and/or other 'git' repositories.
Check if a Remote Computer is Up
Check if a remote computer is up. It can either just call the system ping command, or check a specified TCP port.
Recognize and Parse Dates in Various Formats, Including All ISO 8601 Formats
Parse dates automatically, without the need of specifying a format. Currently it includes the git date parser. It can also recognize and parse all ISO 8601 formats.
Pretty, Human Readable Formatting of Quantities
Pretty, human readable formatting of quantities. Time intervals: '1337000' -> '15d 11h 23m 20s'. Vague time intervals: '2674000' -> 'about a month ago'. Bytes: '1337' -> '1.34 kB'. Rounding: '99' with 3 significant digits -> '99.0' p-values: '0.00001' -> '<0.0001'. Colors: '#FF0000' -> 'red'. Quantities: '1239437' -> '1.24 M'.
E-Statistics: Multivariate Inference via the Energy of Data
E-statistics (energy) tests and statistics for multivariate and univariate inference, including distance correlation, one-sample, two-sample, and multi-sample tests for comparing multivariate distributions, are implemented. Measuring and testing multivariate independence based on distance correlation, partial distance correlation, multivariate goodness-of-fit tests, k-groups and hierarchical clustering based on energy distance, testing for multivariate normality, distance components (disco) for non-parametric analysis of structured data, and other energy statistics/methods are implemented.