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

Found 76 packages in 0.01 seconds

tweet2r — by Pau Arag√≥, 9 months ago

Twitter Collector for R and Export to 'SQLite', 'postGIS' and 'GIS' Format

This is an improved implementation of the package 'StreamR' to capture tweets and store it into R, SQLite, 'postGIS' data base or GIS format. The package performs a description of harvested data and performs space time exploratory analysis.

codemetar — by Carl Boettiger, a day ago

Generate 'CodeMeta' Metadata for R Packages

The 'Codemeta' Project defines a 'JSON-LD' format for describing software metadata, as detailed at < https://codemeta.github.io>. This package provides utilities to generate, parse, and modify 'codemeta.json' files automatically for R packages, as well as tools and examples for working with 'codemeta.json' 'JSON-LD' more generally.

NUCOMBog — by J.W.M. Pullens, a year ago

NUtrient Cycling and COMpetition Model Undisturbed Open Bog Ecosystems in a Temperate to Sub-Boreal Climate

Modelling the vegetation, carbon, nitrogen and water dynamics of undisturbed open bog ecosystems in a temperate to sub-boreal climate. The executable of the model can downloaded from < https://github.com/jeroenpullens/NUCOMBog>.

Rfmtool — by Gleb Beliakov, a year ago

Fuzzy Measure Tools

Various tools for handling fuzzy measures, calculating Shapley value and interaction index, Choquet and Sugeno integrals, as well as fitting fuzzy measures to empirical data are provided. Construction of fuzzy measures from empirical data is done by solving a linear programming problem by using 'lpsolve' package, whose source in C adapted to the R environment is included. The description of the basic theory of fuzzy measures is in the manual in the Doc folder in this package.

aCRM — by Michel Ballings, 5 years ago

Convenience functions for analytical Customer Relationship Management

Convenience functions for data preparation and modeling often used in aCRM.

GMSE — by A. Bradley Duthie, a month ago

Generalised Management Strategy Evaluation Simulator

Integrates game theory and ecological theory to construct social-ecological models that simulate the management of populations and stakeholder actions. These models build off of a previously developed management strategy evaluation (MSE) framework to simulate all aspects of management: population dynamics, manager observation of populations, manager decision making, and stakeholder responses to management decisions. The newly developed generalised management strategy evaluation (GMSE) framework uses genetic algorithms to mimic the decision-making process of managers and stakeholders under conditions of change, uncertainty, and conflict. Simulations can be run using gmse(), gmse_apply(), and gmse_gui() functions.