Package: sureLDA
Type: Package
Title: A Novel Multi-Disease Automated Phenotyping Method for the EHR
Version: 0.1.0-1
Authors@R: c(
    person("Yuri", "Ahuja", role = c("aut", "cre"), email = "Yuri_Ahuja@hms.harvard.edu"),
    person("Tianxi", "Cai", role = c("aut")),
    person(family = "PARSE LTD", role = c("aut"))   
    )
Description: A statistical learning method to simultaneously predict a range of target phenotypes using codified and natural language processing (NLP)-derived Electronic Health Record (EHR) data. See Ahuja et al (2020) JAMIA <doi:10.1093/jamia/ocaa079> for details.
URL: https://github.com/celehs/sureLDA
BugReports: https://github.com/celehs/sureLDA/issues
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.1
Depends: R (>= 3.0), Matrix
Imports: pROC, glmnet, MAP, Rcpp, foreach, doParallel
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2020-11-05 08:29:06 UTC; yuriahuja
Author: Yuri Ahuja [aut, cre],
  Tianxi Cai [aut],
  PARSE LTD [aut]
Maintainer: Yuri Ahuja <Yuri_Ahuja@hms.harvard.edu>
Repository: CRAN
Date/Publication: 2020-11-10 10:00:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-28 12:02:21 UTC; unix
Archs: sureLDA.so.dSYM
