DESCRIPTION

Package: PheCAP
Type: Package
Title: High-Throughput Phenotyping with EHR using a Common Automated Pipeline
Version: 1.2.2
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