Estimating the Number of Factors in EFA with Out-of-Sample Prediction Errors
Overview
Estimating the number of factors in Exploratory Factor Analysis (EFA) with out-of-sample prediction errors using a cross-validation scheme. Haslbeck & van Bork (Preprint) https://psyarxiv.com/qktsd.
- Adapted to conflicting imported functions from psych and GPArotation by removing GPArotation from dependencies
From NEWS in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 3 (1 internal)
- Examples that run
- 0%1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 67%
Downloads
Repository
- PRs merged (all time)
- 0%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 717
Stars over time
Forks over time
Issues over time
PRs over time
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/jmbh/fspe on 2026-10-18.
Dependencies
Installing fspe adds 4 packages (1 with compiled code, 2.8 MB of source tarballs). Heaviest: GPArotation 1.6 MB, psych 1.1 MB, mnormt 63 KB.
Code & Tests
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.2Latest
- 0.1.12022-06-15 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.02021-02-24
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-02-24
- Total releases
- 3 / 5 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 7.0 KB / 1 file
- Download size
- 12 KB
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