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Determination of Intervals Using Georeferenced Survey Simulation
Simulation tool to estimate the rate of success that surveys possessing user-specific characteristics have in identifying archaeological sites (or any groups of clouds of objects), given specific parameters of survey area, survey methods, and site properties. The survey approach used is largely based on the work of Kintigh (1988)
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)
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
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)
'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/>.
Geological Time Scale Plotting
Functionality for adding the geological timescale to bivariate plots.