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IDLFM

1.0.0Package record

Individual Dynamic Latent Factor Model

0packages depend
1.8Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 3.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
  • ERROR13 OK, 1 ERROR2026-03-10
Advisories

none known

Documentation

In release 1.0.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
2
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

1.8K
CRAN downloads in the past year
Rank #24,496 · ~5/day · ~150/mo
Daily download trend is not available in this view yet.
16530 days
49790 days
1.8K1 year
Compare downloads with other packages →
Also on65 r2u

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing IDLFM adds 0 packages. 1 more not on CRAN is not measured.

Depends (1)
R >= 4.4.0
Imports (4)
statsmethodssplinesSparseArray
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 0.0.1 (2024)
Author · added in 0.0.2
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0Latest
    record
    2025-05-11 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.0.2
    record
    2024-12-05 · diff ↗
  • 0.0.1
    record
    2024-12-02
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-12-02
Total releases
3 / 2 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.4.0
Download size
5.5 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("IDLFM")
Liu, S., Qu, A., & Zhang, J. (2025). IDLFM: Individual Dynamic Latent Factor Model (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.IDLFM

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for IDLFM version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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