Send Data from R to the Measurement Protocol

Send server-side tracking data from R. The Measurement Protocol version 2 < https://developers.google.com/analytics/devguides/collection/protocol/ga4> allows sending HTTP tracking events from R code.

R Scripts in the Google Cloud via Cloud Run, Cloud Build and Cloud Scheduler

Tools to easily enable R scripts in the Google Cloud Platform. Utilise cloud services such as Cloud Run < https://cloud.google.com/run/> for R over HTTP, Cloud Build < https://cloud.google.com/build> for Continuous Delivery and Integration services and Cloud Scheduler < https://cloud.google.com/scheduler/> for scheduled scripts.

Hash R Objects to Integers Fast

Apply an adaptation of the SuperFastHash algorithm to any R object. Hash whole R objects or, for vectors or lists, hash R objects to obtain a set of hash values that is stored in a structure equivalent to the input. See < http://www.azillionmonkeys.com/qed/hash.html> for a description of the hash algorithm.

Respondent-Driven Sampling

Provides functionality for carrying out estimation with data collected using Respondent-Driven Sampling. This includes Heckathorn's RDS-I and RDS-II estimators as well as Gile's Sequential Sampling estimator. The package is part of the "RDS Analyst" suite of packages for the analysis of respondent-driven sampling data. See Gile and Handcock (2010) , Gile and Handcock (2015) and Gile, Beaudry, Handcock and Ott (2018) .

Split-Apply-Combine with Dynamic Groups

Estimate group aggregates, where one can set user-defined conditions that each group of records must satisfy to be suitable for aggregation. If a group of records is not suitable, it is expanded using a collapsing scheme defined by the user. A paper on this package was published in the Journal of Statistical Software .

'AWS S3' Client Package

A simple client package for the Amazon Web Services ('AWS') Simple Storage Service ('S3') 'REST' 'API' < https://aws.amazon.com/s3/>.

Fast, Robust, and High-Quality Synthetic Data Generation with a Tuneable Privacy-Utility Trade-Off

Synthesize numeric, categorical, mixed and time series data. Data circumstances including mixed (or zero-inflated) distributions and missing data patterns are reproduced in the synthetic data. A single parameter allows balancing between high-quality synthetic data that represents correlations of the original data and lower quality but more privacy safe synthetic data without correlations. Tuning can be done per variable or for the whole dataset.

Fit, Simulate and Diagnose Exponential-Family Models for Networks

An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGMs). 'ergm' is a part of the Statnet suite of packages for network analysis. See Hunter, Handcock, Butts, Goodreau, and Morris (2008) and Krivitsky, Hunter, Morris, and Klumb (2023) .

Geological Time Scale Plotting

Functionality for adding the geological timescale to bivariate plots.

Amazon Web Services Request Signatures

Generates version 2 and version 4 request signatures for Amazon Web Services ('AWS') < https://aws.amazon.com/> Application Programming Interfaces ('APIs') and provides a mechanism for retrieving credentials from environment variables, 'AWS' credentials files, and 'EC2' instance metadata. For use on 'EC2' instances, users will need to install the suggested package 'aws.ec2metadata' < https://cran.r-project.org/package=aws.ec2metadata>.