Package: LDNN 1.10
LDNN: Longitudinal Data Neural Network
This is a Neural Network regression model implementation using 'Keras', consisting of 10 Long Short-Term Memory layers that are fully connected along with the rest of the inputs.
Authors:
LDNN_1.10.tar.gz
LDNN_1.10.zip(r-4.7-any)LDNN_1.10.zip(r-4.6-any)LDNN_1.10.zip(r-4.5-any)
LDNN_1.10.tgz(r-4.6-any)LDNN_1.10.tgz(r-4.5-any)
LDNN_1.10.tar.gz(r-4.7-any)LDNN_1.10.tar.gz(r-4.6-any)
LDNN_1.10.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
LDNN/json (API)
| # Install 'LDNN' in R: |
| install.packages('LDNN', repos = c('https://vasileioskarapoulios.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/vasileioskarapoulios/ldnn/issues
Last updated from:288dcdb42d. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 153 | ||
| source / vignettes | OK | 204 | ||
| linux-release | NOTE | 133 | ||
| macos-release | NOTE | 176 | ||
| macos-oldrel | NOTE | 162 | ||
| windows-devel | NOTE | 113 | ||
| windows-release | NOTE | 97 | ||
| windows-oldrel | NOTE | 93 | ||
| wasm-release | OK | 122 |
Exports:create_modelevaluate_modelfit_model
Dependencies:askpassbackportsbase64encbrewbriobslibcachemcallrclicliprcommonmarkconfigcpp11crayoncredentialscurldescdevtoolsdiffobjdigestdownlitellipsisevaluatefansifastmapfontawesomefsgenericsgertgitcredsglueherehighrhtmltoolshtmlwidgetshttpuvhttr2inijquerylibjsonlitekerasknitrlaterlatticelifecyclemagrittrMatrixmemoisemimeminiUIopensslotelpakpillarpkgbuildpkgconfigpkgdownpkgloadpngpraiseprettyunitsprocessxprofvispromisespspurrrR6raggrappdirsrcmdcheckRcppRcppTOMLrdtoolsreticulaterlangrmarkdownroxygen2rprojrootrstudioapirversionssasssessioninfoshinysourcetoolsstringisyssystemfontstensorflowtestthattextshapingtfautographtfrunstibbletidyselecttinytexurlcheckerusethisutf8vctrswaldowhiskerwithrxfunxml2xopenxtableyamlzeallotzip
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Pre-defined Neural Network for Longitudinal Data | create_model |
| Evaluate the pre-defined Neural Network for Longitudinal Data | evaluate_model |
| Fit the pre-defined Neural Network for Longitudinal Data | fit_model |