DESCRIPTION

Package: EHRsourceVariability
Type: Package
Title: Measurement and visualization of biomedical data heterogeneity across data sources
Version: 0.0.1
Authors@R: c(
  person("Carlos", "Sáez", email = "carsaesi@upv.es", role = c("aut", "cre")),
  person("Juan M", "García-Gómez", email = "juanmig@upv.es", role = c("aut")),
  person("Biomedical Data Science Lab, Universitat Politècnica de València (Spain)", role = c("cph"))
  )
Maintainer: Carlos Sáez <carsaesi@upv.es>
Description: The 'EHRsourceVariability' package contains functions to measure and visualize biomedical data heterogeneity across data sources (such as locations, hospitals, professionals, etc.).  The multi-source variability measurement methods include two metrics. The first measures the dissimilarity of a data source to a global central tendency of sources, namely the Source Probabilistic Outlyingness (SPO) metric. The second measures the global variability among all the data sources in a repository, namely the Global Probabilistic Deviation (GPD) metric. The metrics are complemented with an exploratory visualization of the variability among data sources, namely the Multi-Source Variability (MSV) plot. These methods serve to highlight anomalous behaviors in the data of specific sources, detect groups of sources with similar data, or provide an indicator of concordance among data sources.
License: Apache License 2.0 | file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
RoxygenNote: 6.1.1
Imports:
  plotly,
  dplyr