Package: EHRtemporalVariability
Type: Package
Title: Delineating Temporal Dataset Shifts in Electronic Health Records
Version: 1.2.2
Date: 2026-04-27
Encoding: UTF-8
Description: Functions to delineate temporal dataset shifts in
        Electronic Health Records through the projection and
        visualization of dissimilarities among data temporal batches.
        This is done through the estimation of data statistical
        distributions over time and their projection in non-parametric
        statistical manifolds, uncovering the patterns of the data
        latent temporal variability. 'EHRtemporalVariability' is
        particularly suitable for multi-modal data and categorical
        variables with a high number of values, common features of
        biomedical data where traditional statistical process control
        or time-series methods may not be appropriate.
        'EHRtemporalVariability' allows you to explore and identify
        dataset shifts through visual analytics formats such as Data
        Temporal heatmaps and Information Geometric Temporal (IGT)
        plots. An additional 'EHRtemporalVariability' Shiny app can be
        used to load and explore the package results and even to allow
        the use of these functions to those users non-experienced in R
        coding. (Sáez et al. 2020) <doi:10.1093/gigascience/giaa079>.
Depends: R (>= 4.3.0), dplyr
License: Apache License 2.0 | file LICENSE
Imports: plotly, zoo, xts, lubridate, RColorBrewer, viridis, scales,
        methods, MASS
Suggests: knitr, rmarkdown, devtools, dbscan, webshot, httr
VignetteBuilder: knitr
NeedsCompilation: no
Authors@R: c(
  person("Carlos", "Sáez", email = "carsaesi@upv.es", role = c("aut", "cre")),
  person("Alba", "Gutiérrez-Sacristán", email = "Alba_Gutierrez@hms.harvard.edu", role = c("aut")),
  person("Isaac", "Kohane", email = "Isaac_Kohane@hms.harvard.edu", role = c("aut")),
  person("Juan M", "García-Gómez", email = "juanmig@upv.es", role = c("aut")),
  person("Paul", "Avillach", email = "Paul_Avillach@hms.harvard.edu", role = c("aut")),
  person("Biomedical Data Science Lab, Universitat Politècnica de València (Spain)", role = c("cph")),
  person("Department of Biomedical Informatics, Harvard Medical School", role = c("cph"))
  )
Maintainer: Carlos Sáez <carsaesi@upv.es>
RoxygenNote: 7.3.3
URL: https://github.com/hms-dbmi/EHRtemporalVariability
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
Repository: https://hms-dbmi.r-universe.dev
Date/Publication: 2026-04-28 07:41:48 UTC
RemoteUrl: https://github.com/hms-dbmi/ehrtemporalvariability
RemoteRef: HEAD
RemoteSha: 038e6c5b9ed8fb88f46cf0be2519f0ed2a823adf
Packaged: 2026-07-03 06:13:32 UTC; root
Author: Carlos Sáez [aut, cre],
  Alba Gutiérrez-Sacristán [aut],
  Isaac Kohane [aut],
  Juan M García-Gómez [aut],
  Paul Avillach [aut],
  Biomedical Data Science Lab, Universitat Politècnica de València
    (Spain) [cph],
  Department of Biomedical Informatics, Harvard Medical School [cph]