Package: IDLFM 0.0.1

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:Siyang Liu [aut, cre], Jiuchen Zhang [aut], Annie Qu [aut]

IDLFM_0.0.1.tar.gz
IDLFM_0.0.1.zip(r-4.5)IDLFM_0.0.1.zip(r-4.4)
IDLFM_0.0.1.tgz(r-4.5-any)IDLFM_0.0.1.tgz(r-4.4-any)
IDLFM_0.0.1.tar.gz(r-4.5-noble)IDLFM_0.0.1.tar.gz(r-4.4-noble)
IDLFM_0.0.1.tgz(r-4.4-emscripten)
IDLFM.pdf |IDLFM.html✨
IDLFM/json (API)

# Install 'IDLFM' in R:
install.packages('IDLFM', repos = c('https://skylarliu0529.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/skylarliu0529/idlfm/issues

On CRAN:

Conda:

2.30 score 1 scripts 130 downloads 2 exports 13 dependencies

Last updated 4 months agofrom:cf1619713d. Checks:1 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 05 2025
R-4.5-winNOTEMar 05 2025
R-4.5-macNOTEMar 05 2025
R-4.5-linuxNOTEMar 05 2025
R-4.4-winNOTEMar 05 2025
R-4.4-macNOTEMar 05 2025
R-4.4-linuxNOTEMar 05 2025

Exports:generate_dataIDLFM

Dependencies:abindBiocGenericscrayongenericsIRangeslatticeMatrixMatrixGenericsmatrixStatsS4ArraysS4VectorsSparseArrayXVector