The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| 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 |
| Reference manual: | sureLDA.pdf |
| Vignettes: |
Simulated Example |
| Package source: | sureLDA_0.1.0-1.tar.gz |
| Windows binaries: | r-devel: sureLDA_0.1.0-1.zip, r-release: sureLDA_0.1.0-1.zip, r-oldrel: sureLDA_0.1.0-1.zip |
| macOS binaries: | r-release (arm64): sureLDA_0.1.0-1.tgz, r-oldrel (arm64): sureLDA_0.1.0-1.tgz, r-release (x86_64): sureLDA_0.1.0-1.tgz, r-oldrel (x86_64): sureLDA_0.1.0-1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=sureLDA to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.