README.md

In lgaborini/rsamplestudy: Easily generate two-level studies from known distributions

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.

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

lgaborini/rsamplestudy documentation built on March 6, 2021, 3:18 p.m.