Package: long2lstmarray 0.2.0
long2lstmarray: Longitudinal Dataframes into Arrays for Machine Learning Training
An easy tool to transform 2D longitudinal data into 3D arrays suitable for Long short-term memory neural networks training. The array output can be used by the 'keras' package. Long short-term memory neural networks are described in: Hochreiter, S., & Schmidhuber, J. (1997) <doi:10.1162/neco.1997.9.8.1735>.
Authors:
long2lstmarray_0.2.0.tar.gz
long2lstmarray_0.2.0.zip(r-4.7)long2lstmarray_0.2.0.zip(r-4.6)long2lstmarray_0.2.0.zip(r-4.5)
long2lstmarray_0.2.0.tgz(r-4.6-any)long2lstmarray_0.2.0.tgz(r-4.5-any)
long2lstmarray_0.2.0.tar.gz(r-4.7-any)long2lstmarray_0.2.0.tar.gz(r-4.6-any)
long2lstmarray_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
long2lstmarray/json (API)
NEWS
| # Install 'long2lstmarray' in R: |
| install.packages('long2lstmarray', repos = c('https://luisgarcez11.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/luisgarcez11/long2lstmarray/issues
- alsfrs_data - Clinical scale example data
Last updated from:bcfb6246cd. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 121 | ||
| source / vignettes | OK | 163 | ||
| linux-release-x86_64 | OK | 116 | ||
| macos-release-arm64 | OK | 201 | ||
| macos-oldrel-arm64 | OK | 154 | ||
| windows-devel | OK | 77 | ||
| windows-release | OK | 87 | ||
| windows-oldrel | OK | 72 | ||
| wasm-release | OK | 99 |
Exports:get_var_arrayget_var_sequencelongitudinal_arrayslice_var_sequence
Dependencies:abindclidplyrgenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Clinical scale example data | alsfrs_data |
| Generate a matrix with various lags from a variable in the dataframe | get_var_array |
| Get variable values from subject/variable name pair | get_var_sequence |
| Generate a matrix with various lags from a dataframe | longitudinal_array |
| Generate a matrix with various lags from a sequence | slice_var_sequence |
