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R package to simulate data and samples from two-level hierarchical models

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lgaborini/rsamplestudy

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rsamplestudy

This package contains utilities to simulate data from two-level hierarchical models.

It is used in a evaluative forensic setting, where two sets of samples are extracted and compared.

It will be coupled to other packages where the said models are evaluated in a Bayesian way.

R build status Codecov test coverage

Installation

The package is not yet on CRAN as it is very experimental.
You can install the development version from this repository using devtools or remotes:

# install.packages('remotes')
remotes::install_github('lgaborini/rsamplestudy')

Documentation

Available documentation can be found here.

Contents

The package contains:

  • utilities to sample from known distributions
  • utilities to generate a full set of data according to a two-level model
  • utilities to partition the full set of data into a reference/questioned/background partition

Implemented models

  • Dirichlet-Dirichlet model
  • Normal-Normal model

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R package to simulate data and samples from two-level hierarchical models

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