Path Coefficient Analysis
Overview
Facilitates the performance of several analyses, including simple and sequential path coefficient analysis, correlation estimate, drawing correlogram, Heatmap, and path diagram. When working with raw data, that includes one or more dependent variables along with one or more independent variables are available, the path coefficient analysis can be conducted. It allows for testing direct effects, which can be a vital indicator in path coefficient analysis. The process of preparing the dataset rule is explained in detail in the vignette file "Path.Analysis_manual.Rmd". You can find this in the folders labelled "data" and "~/inst/extdata". Also see: 1)the 'lavaan', 2)a sample of sequential path analysis in 'metan' suggested by Olivoto and Lúcio (2020) doi:10.1111/2041-210X.13384, 3)the simple 'PATHSAS' macro written in 'SAS' by Cramer et al. (1999) doi:10.1093/jhered/90.1.260, and 4)the semPlot() function of 'OpenMx' as initial tools for conducting path coefficient analyses and SEM (Structural Equation Modeling). To gain a comprehensive understanding of path coefficient analysis, both in theory and practice, see a 'Minitab' macro developed by Arminian, A. in the paper by Arminian et al. (2008) doi:10.1080/15427520802043182.
- Diagram of the path coefficient analysis added via
corrplot::DiagrammeR. - Correlation plot added via
performanceAnalytics. - Advanced Heatmap feature added (
ComplexHeatmap replaced withheatmap.2 and heatmap3`. - The initial edition of this software was established in 2022 (unpublished).
From NEWS.md in the release
Install
Health
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespaces in Imports field not imported from: ‘ComplexHeatmap’ ‘mathjaxr’ All declared Imports should be used.
- NOTE11 OK, 2 NOTE2026-09-08
- ERROR11 OK, 1 NOTE, 1 ERROR2026-09-07
- NOTE11 OK, 2 NOTE2026-06-09
- ERROR10 OK, 2 NOTE, 1 ERROR2026-06-08
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 15includes a package overview page
- Examples that run
- 0%13 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 88%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 33%
Downloads
Repository
Stars over time
Issues over time
Checks run against github.com/abeyran/path.analysis on 2026-10-18.
No development-tooling practices detected in the upstream repository.
Dependencies
Installing Path.Analysis adds 109 packages (55 with compiled code, 107 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB. 1 more not on CRAN is not measured.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.1Latest2024-09-25 · current release
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-09-25
- Total releases
- 1 / 2 yrs
- License
- GPL-3 OSI
- Copyright
- Ali Arminian
- Minimum R
- ≥ 4.1.0
- Bundled data
- 15 KB / 6 files
- Download size
- 1.0 MB
Cite
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Run in R for the authors' preferred citation:
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