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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "DRpower" in publications use:'
type: software
license: MIT
title: 'DRpower: Study design and analysis for pfhrp2/3 deletion prevalence studies'
version: 1.0.2
abstract: This package can be used in the design and/or analysis stages of Plasmodium
  falciparum pfhrp2/3 deletion prevalence studies. We assume that the study takes
  the form of a clustered prevalence survey, meaning the data consists of a numerator
  (number of deletions found) and denominator (number tested) over multiple clusters.
  We are interested in estimating the study-level prevalence, i.e. over all clusters,
  while accounting for the possibility of high intra-cluster correlation. The analysis
  approach uses a Bayesian random effects model to estimate prevalence and intra-cluster
  correlation. The approach to power analysis is simulation-based, running the analysis
  many times on simulated data and estimating empirical power. This method can be
  used to establish a minimum sample size required to achieve a given target power.
authors:
- family-names: Verity
  given-names: Bob
  email: r.verity@imperial.ac.uk
- family-names: Ruybal
  given-names: Shazia
  email: s.ruybal@imperial.ac.uk
repository: https://plasmogenepi.r-universe.dev
repository-code: https://github.com/mrc-ide/DRpower
url: https://github.com/mrc-ide/DRpower
contact:
- family-names: Verity
  given-names: Bob
  email: r.verity@imperial.ac.uk