Package: PheCAP
Type: Package
Title: High-Throughput Phenotyping with EHR using a Common Automated
        Pipeline
Version: 1.2.1
Authors@R: c(
    person("Yichi", "Zhang", role = "aut"),
    person("Chuan", "Hong", role = "aut"),
    person("Tianxi", "Cai", role = "aut"),
    person(family = "PARSE LTD", role =  c("aut", "cre"), email = "software@parse-health.org")
    )
Description: Implement surrogate-assisted feature extraction (SAFE) and
             common machine learning approaches to train and validate phenotyping models.
             Background and details about the methods can be found at 
             Zhang et al. (2019) <doi:10.1038/s41596-019-0227-6>,
             Yu et al. (2017) <doi:10.1093/jamia/ocw135>, and 
             Liao et al. (2015) <doi:10.1136/bmj.h1885>.
URL: https://celehs.github.io/PheCAP/, https://github.com/celehs/PheCAP
BugReports: https://github.com/celehs/PheCAP/issues
License: GPL-3
Encoding: UTF-8
ByteCompile: yes
Imports: graphics, methods, stats, utils, glmnet, RMySQL
Suggests: ggplot2, e1071, randomForestSRC, xgboost, knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.3.0)
RoxygenNote: 7.1.1
LazyData: true
NeedsCompilation: no
Packaged: 2020-09-17 08:41:04 UTC; ubuntu
Author: Yichi Zhang [aut],
  Chuan Hong [aut],
  Tianxi Cai [aut],
  PARSE LTD [aut, cre]
Maintainer: PARSE LTD <software@parse-health.org>
Repository: CRAN
Date/Publication: 2020-09-17 09:30:18 UTC
Built: R 4.5.3; ; 2026-06-06 03:00:01 UTC; windows
