This package is considered a duplicate. The official version of this package is found at:https://skylarliu0529.r-universe.dev/IDLFM
Package: IDLFM 0.0.2
Siyang Liu
IDLFM: Individual Dynamic Latent Factor Model
A personalized dynamic latent factor model (Zhang et al. (2024) <doi:10.1093/biomet/asae015>) for irregular multi-resolution time series data, to interpolate unsampled measurements from low-resolution time series.
Authors:
IDLFM_0.0.2.tar.gz
IDLFM_0.0.2.tar.gz(r-4.5-noble)IDLFM_0.0.2.tar.gz(r-4.4-noble)
IDLFM_0.0.2.tgz(r-4.4-emscripten)
IDLFM.pdf |IDLFM.html✨
IDLFM/json (API)
| # Install 'IDLFM' in R: |
| install.packages('IDLFM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 21 days agofrom:d75b127f9c. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 05 2024 |
| R-4.5-linux | OK | Dec 05 2024 |
Exports:generate_dataIDLFM
Dependencies:abindBiocGenericscrayongenericsIRangeslatticeMatrixMatrixGenericsmatrixStatsS4ArraysS4VectorsSparseArrayXVectorzlibbioc
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generate data for simulation | generate_data |
| Individualized Dynamic Latent Factor Model | IDLFM |
