Examples: visualization, C++, networks, data cleaning, html widgets, ropensci.

Found 17 packages in 0.02 seconds

simplegraph — by Gabor Csardi, 3 years ago

Simple Graph Data Types and Basic Algorithms

Simple classic graph algorithms for simple graph classes. Graphs may possess vertex and edge attributes. 'simplegraph' has so dependencies and it is written entirely in R, so it is easy to install.

description — by Gabor Csardi, 2 years ago

Manipulate DESCRIPTION Files

Tools to read, write, create, and manipulate DESCRIPTION files. It is intended for packages that create or manipulate other packages.

tracer — by Gabor Csardi, 2 years ago

Slick Call Stacks

Better looking call stacks after an error.

getPass — by Drew Schmidt, a year ago

Masked User Input

A micro-package for reading "passwords", i.e. reading user input with masking, so that the input is not displayed as it is typed. Currently we have support for 'RStudio', the command line (every OS), and any platform where 'tcltk' is present.

franc — by Gabor Csardi, 3 years ago

Detect the Language of Text

With no external dependencies and support for 335 languages; all languages spoken by more than one million speakers. 'Franc' is a port of the 'JavaScript' project of the same name, see < https://github.com/wooorm/franc>.

goodpractice — by Hannah Frick, 6 months ago

Advice on R Package Building

Give advice about good practices when building R packages. Advice includes functions and syntax to avoid, package structure, code complexity, code formatting, etc.

logmult — by Milan Bouchet-Valat, 4 days ago

Log-Multiplicative Models, Including Association Models

Functions to fit log-multiplicative models using 'gnm', with support for convenient printing, plots, and jackknife/bootstrap standard errors. For complex survey data, models can be fitted from design objects from the 'survey' package. Currently supported models include UNIDIFF (Erikson & Goldthorpe), a.k.a. log-multiplicative layer effect model (Xie), and several association models: Goodman's row-column association models of the RC(M) and RC(M)-L families with one or several dimensions; two skew-symmetric association models proposed by Yamaguchi and by van der Heijden & Mooijaart. Functions allow computing the intrinsic association coefficient (and therefore the Altham index), including via the Bayes shrinkage estimator proposed by Zhou; and the RAS/IPF/Deming-Stephan algorithm.