Distributed Laplace Factor Model
Overview
Distributed estimation method is based on a Laplace factor model to solve the estimates of load and specific variance. The philosophy of the package is described in Guangbao Guo. (2022). doi:10.1007/s00180-022-01270-z.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 40
- Examples that run
- 97%38 run in a plain check · 1 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing DLFM adds 2 packages (0 with compiled code, 2.0 MB of source tarballs). Heaviest: LaplacesDemon 2.0 MB, matrixcalc 30 KB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 0.2.4Latest2026-05-18 · current release · diff ↗ ·
added 6 exports
calculate_DAA, estimate_AD_from_OSDR, frobenius.norm, generate_asymmetric_laplace, generate_multivariate_laplace, generate_skew_laplace - RR 4.6.0 released · 2026-04-24
- 0.2.32026-03-06 · diff ↗
- unarchivedReturned to CRAN2026-01-26
- 0.2.2
- archivedRemoved from CRAN2025-12-17requires archived package 'Ryacas0'
- 0.1.4
- 0.1.1
- 0.1.02025-10-30
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-10-30
- Total releases
- 6 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 2.2 MB / 17 files
- Download size
- 2.3 MB
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