Package: EHRtemporalVariability
Type: Package
Title: Delineating Temporal Dataset Shifts in Electronic Health Records
Version: 1.0.4
Date: 2020-03-27
Encoding: UTF-8
Description: The 'EHRtemporalVariability' package contains 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. Dataset shifts can be explored and identified 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.
Depends: R (>= 3.3.0), dplyr
License: Apache License 2.0 | file LICENSE
LazyData: true
Imports: plotly, shiny, zoo, xts, lubridate, RColorBrewer, viridis,
        scales, methods
Suggests: knitr, rmarkdown, devtools, BiocStyle
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: 7.1.0
URL: http://github.com/hms-dbmi/EHRtemporalVariability
Packaged: 2020-03-27 20:44:44 UTC; Carlos
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]
Repository: CRAN
Date/Publication: 2020-03-28 08:20:31 UTC
Built: R 3.5.3; ; 2020-04-22 08:51:59 UTC; windows
