layeranalyzer: Time Series Analysis Tool using Linear Layered SDEs

Time series analysis tool using linear layered stochastic differential equations. The package allows for multiple time series with correlative and/or causal links between them. Unmeasured causal processes are allowed to affect the measured processes in a layered structure, hence the name of the package. In case of causal feedback loops, the matrix operations (including eigenvalue decompositions) allows for complex numbers. In this case, cyclic behavior can be expected. Details can be found in Reitan and Liow (2019)<doi:10.1111/2041-210X.13299>.

Version:	0.4.1
Depends:	R (≥ 2.10)
Imports:	methods, stats, Rcpp, coda (≥ 0.19.1)
LinkingTo:	Rcpp
Suggests:	knitr, rmarkdown, markdown
Published:	2026-08-28
DOI:	10.32614/CRAN.package.layeranalyzer (may not be active yet)
Author:	Trond Reitan [aut, cre], Lee Hsiang Liow [ctb], Adam T. Kocsis [ctb]
Maintainer:	Trond Reitan <trond.reitan at geo.uio.no>
License:	LGPL-3
URL:	https://folk.universitetetioslo.no/trondr/R/
NeedsCompilation:	yes
Citation:	layeranalyzer citation info
Materials:	NEWS
CRAN checks:	layeranalyzer results [issues need fixing before 2026-09-19]

Documentation:

Reference manual:

layeranalyzer.html , layeranalyzer.pdf

Downloads:

Package source:	layeranalyzer_0.4.1.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: layeranalyzer_0.4.1.zip
macOS binaries:	r-release (arm64): layeranalyzer_0.4.1.tgz, r-oldrel (arm64): layeranalyzer_0.4.1.tgz, r-release (x86_64): layeranalyzer_0.4.1.tgz, r-oldrel (x86_64): layeranalyzer_0.4.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=layeranalyzer to link to this page.