A Novel Multi-Disease Automated Phenotyping Method for the EHR R package sureLDA version 0.1.0-1 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. Software Depends: R (>= 3.0), Matrix Imports: pROC, glmnet, MAP, Rcpp, foreach, doParallel LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown Yuri Ahuja <Yuri_Ahuja@hms.harvard.edu> Comprehensive R Archive Network (CRAN) Yuri Ahuja [aut, cre], Tianxi Cai [aut], PARSE LTD [aut] GPL-3 2020-11-10 application/tgz https://CRAN.R-project.org/package=sureLDA doi:10.32614/CRAN.package.sureLDA