interfacer - Define and Enforce Contracts for Dataframes as Function Parameters

A dataframe validation framework for package builders who use dataframes as function parameters. It performs checks on column names, coerces data-types, and checks grouping to make sure user inputs conform to a specification provided by the package author. It provides a mechanism for package authors to automatically document supported dataframe inputs and selectively dispatch to functions depending on the format of a dataframe much like S3 does for classes. It also contains some developer tools to make working with and documenting dataframe specifications easier. It helps package developers to improve their documentation and simplifies parameter validation where dataframes are used as function parameters.

Last updated

6.67 score 2 stars 3 dependents 21 scripts 249 downloads

ggoutbreak - Estimate Incidence, Proportions and Exponential Growth Rates

Simple statistical models and visualisations for calculating the incidence, proportion, exponential growth rate, and reproduction number of infectious disease case time series. This toolkit was largely developed during the COVID-19 pandemic.

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5.58 score 3 stars 21 scripts

tidyabc - Approximate Bayesian Computing with Tidy Data

A flexible framework for Approximate Bayesian Computation (ABC) that integrates with the tidyverse. Define simulation models and summary statistics as standard R functions, use 'dist_fns' to represent prior and posterior distributions, and perform inference via rejection sampling, Sequential Monte Carlo (SMC), or Adaptive ABC. The package provides tools for diagnostics, visualization, and convergence assessment, enabling reproducible Bayesian inference for complex models with intractable likelihoods.

Last updated

4.40 score 25 scripts

ukc19 - Datasets from the UK COVID-19 outbreak

Provides simple access to a small selection of pre-wrangled data sets relevant to the COVId-19 outbreak in the UK for teaching and demo purposes.

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3.48 score 1 stars 1 dependents 158 downloads

huxtableone - Descriptive Tables for Observational or Interventional Studies

Generating tabular summaries of data in a format suitable for reporting in journal articles is fiddly and slows down more detailed analysis. Comparing two populations with respect to an intervention, and reporting it is a task that can be largely automated.

Last updated

3.30 score