Archaeology

archeofrag.gui v0.1.0: Implements a shiny application to access the functions and datasets of the archeofrag package that brings spatial analysis to archaeology. Features include: a focus on connection relationships (i.e., physical refits), built-in workflows, plot generation, R code generation to re-execute the simulations in R and ensure reproducibility, and support for parallel computing. Look here for a demonstration version of the app, and look here for basic information.

Artificial Intelligence

ellmer v0.1.1: Integrates large language model chat from a range of providers including Claude, OpenAI, and more. Supports streaming, asynchronous calls, tool calling, and structured data extraction. There are five vignettes including Getting Started and Prompt design.

tidyprompt v0.0.1: Provides functions to construct prompts and associated logic for interacting with large language models (LLMs), and introduces the concept of prompt wraps, building blocks to turn a simple prompt into a complex one. In addition to modifying prompt text, prompt wraps also add extraction and validation functions that will be applied to the response of the LLM. There are three vignettes, including Getting started and Creating prompt wraps.

# From prompt to ggplot
plot <- paste0(
  "Create a scatter plot of miles per gallon (mpg) versus",
  " horsepower (hp) for the cars in the mtcars dataset.",
  " Use different colors to represent the number of cylinders (cyl).",
  " Make the plot nice and readable,",
  " but also be creative, a little crazy, and have humour!"
) |>
  answer_using_r(
    pkgs_to_use = c("ggplot2"),
    evaluate_code = TRUE,
    return_mode = "object"
  ) |>
  send_prompt(openai)
plot

Computational Methods

QAEnsemble v1.0.0: Implements the Ensemble Quadratic and Affine Invariant Markov chain Monte Carlo algorithms, which provides an efficient way to perform Bayesian inference in difficult parameter space geometries. See Militzer (2023) and Goodman and Weare (2010), respectively, for background on these algorithms. There are three vignettes, including Fitting a disease Makov model and Fitting a Weibull distribution.

zigg v0.0.2: Provides a lightweight interface to the Ziggurat pseudo-random number generator introduced by Marsaglia and Tsang (2000) and further improved by Leong et al. (2005), which can be used from R as well as from ‘C/C++’ code. It is very fast for the normal, exponential, and uniform distributions. See README to get started.

Ecology

BerkeleyForestsAnalytics v2.0.4: Offers a suite of functions designed to produce standard metrics for forest management and ecology from forest inventory data. It is designed to minimize potential inconsistencies introduced by the algorithms that compute metrics. Look here to learn more about the purpose of the package and see the vignette for an example.

ritalic v0.10.1: A programmatic interface to the Web Service methods provided by the ITALIC database of lichen data in Italy and bordering European countries, including functions for retrieving information about lichen scientific names, geographic distribution, ecological data, morpho-functional traits, and identification. Look here for more information about the data and see README to get started.

Epidemiology

ggsurveillance v0.1.2: Provides functions to create epicurves and epigantt charts and prepare data for visualization or other reporting for infectious d