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-4.5)long2lstmarray_0.2.0.zip(r-4.4)long2lstmarray_0.2.0.zip(r-4.3)
long2lstmarray_0.2.0.tgz(r-4.4-any)long2lstmarray_0.2.0.tgz(r-4.3-any)
long2lstmarray_0.2.0.tar.gz(r-4.5-noble)long2lstmarray_0.2.0.tar.gz(r-4.4-noble)
long2lstmarray_0.2.0.tgz(r-4.4-emscripten)long2lstmarray_0.2.0.tgz(r-4.3-emscripten)
long2lstmarray.pdf |long2lstmarray.html✨
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 2 years agofrom:bcfb6246cd. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win | OK | Nov 17 2024 |
R-4.5-linux | OK | Nov 17 2024 |
R-4.4-win | OK | Nov 17 2024 |
R-4.4-mac | OK | Nov 17 2024 |
R-4.3-win | OK | Nov 17 2024 |
R-4.3-mac | OK | Nov 17 2024 |
Exports:get_var_arrayget_var_sequencelongitudinal_arrayslice_var_sequence
Dependencies:abindclidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr
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 |