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-4.7-any)IDLFM_0.0.1.zip(r-4.6-any)IDLFM_0.0.1.zip(r-4.5-any)
IDLFM_0.0.1.tgz(r-4.6-any)IDLFM_0.0.1.tgz(r-4.5-any)
IDLFM_0.0.1.tar.gz(r-4.7-any)IDLFM_0.0.1.tar.gz(r-4.6-any)
IDLFM_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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:

2.00 score 1 scripts 177 downloads 2 exports 12 dependencies

Last updated from:cf1619713d. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE180
source / vignettesOK151
linux-releaseNOTE182
macos-releaseNOTE195
macos-oldrelNOTE167
windows-develNOTE117
windows-releaseNOTE109
windows-oldrelNOTE115
wasm-releaseOK114

Exports:generate_dataIDLFM

Dependencies:abindBiocGenericsgenericsIRangeslatticeMatrixMatrixGenericsmatrixStatsS4ArraysS4VectorsSparseArrayXVector