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.
Version: 0.1.0-1 Depends: R (≥ 3.0), Matrix Imports: pROC, glmnet, MAP, Rcpp, foreach, doParallel LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown Published: 2020-11-10 DOI: 10.32614/CRAN.package.sureLDA Author: Yuri Ahuja [aut, cre], Tianxi Cai [aut], PARSE LTD [aut] Maintainer: Yuri Ahuja <Yuri_Ahuja at hms.harvard.edu> BugReports: https://github.com/celehs/sureLDA/issues License: GPL-3 URL: https://github.com/celehs/sureLDA NeedsCompilation: yes Materials: README CRAN checks: sureLDA results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=sureLDA to link to this page.
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