Package: layeranalyzer 0.4.2

Trond Reitan

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>.

Authors:Trond Reitan [aut, cre], Lee Hsiang Liow [ctb], Adam T. Kocsis [ctb]

layeranalyzer_0.4.2.tar.gz
layeranalyzer_0.4.2.zip(r-4.7-x86_64)layeranalyzer_0.4.2.zip(r-4.7-arm64)layeranalyzer_0.4.2.zip(r-4.6-x86_64)layeranalyzer_0.4.2.zip(r-4.6-arm64)
layeranalyzer_0.4.2.tar.gz(r-4.7-arm64)layeranalyzer_0.4.2.tar.gz(r-4.7-x86_64)layeranalyzer_0.4.2.tar.gz(r-4.6-arm64)layeranalyzer_0.4.2.tar.gz(r-4.6-x86_64)
layeranalyzer_0.4.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
layeranalyzer/json (API)

# Install 'layeranalyzer' in R:
install.packages('layeranalyzer', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • bi.lext - A dataset of reed warbler body mass over several years.
  • br.lext - A dataset of reed warbler body mass over several years.
  • br.lorig - A dataset of reed warbler body mass over several years.
  • hare.norm - A dataset of hare catchment data from the Hudson Bay Company.
  • hare.orig - A dataset of hare catchment data from the Hudson Bay Company.
  • lrate.pr - A "layer.prior" object used for diversifications rate analysis.
  • lynx.norm - A dataset of lynx catchment data from the Hudson Bay Company.
  • lynx.orig - A dataset of lynx catchment data from the Hudson Bay Company.
  • malta - A dataset of reed warbler body mass over several years.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.96 score 46 scripts 246 downloads 31 exports 3 dependencies

Last updated from:b4cddbc2de. Checks:10 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK141
linux-devel-x86_64OK177
source / vignettesOK219
linux-release-arm64OK137
linux-release-x86_64OK151
windows-devel-arm64OK227
windows-devel-x86_64OK187
windows-release-arm64OK218
windows-release-x86_64OK142
wasm-releaseOK124

Exports:anova.layeredcompare.layeredlayer.analyzerlayer.analyzer.timeseries.listlayer.connectionslayer.connections.listlayer.data.serieslayer.load.priorlayer.pairslayer.pairs.listlayer.param.logliklayer.param.loglikslayer.predict.estimatelayer.predict.mcmclayer.predict.mcmc.listlayer.priorlayer.series.structurelayer.standard.log.priorlayer.standard.priorlayer.struct.namelayer.wide.priorlogLik.layeredn.combinationsnobs.layeredprint.layer.series.structureprint.summary.layeredread.layer.data.seriesstepwise.connections.layeredsummary.layeredtraverse.connections.layeredtraverse.standalone.layered

Dependencies:codalatticeRcpp

Readme and manuals

Help Manual

Help pageTopics
Analysis of Deviance for return object from 'layer.analyzer'.anova.layered
A dataset of reed warbler body mass over several years.bi.lext
A dataset of reed warbler body mass over several years.br.lext
A dataset of reed warbler body mass over several years.br.lorig
Perform comparison of several models for the same dataset(s).compare.layered
A dataset of hare catchment data from the Hudson Bay Company.hare.norm
A dataset of hare catchment data from the Hudson Bay Company.hare.orig
Time series analysis tool using linear layered SDEs.layer.analyzer
Time series analysis tool using linear layered SDEs.layer.analyzer.timeseries.list
Alternative connection specification, taking a structure list.layer.connections
Alternative connection specification, taking a structure list.layer.connections.list
Represents a measurement time series.layer.data.series
Reading prior specification for the layer.analyzer from a file.layer.load.prior
Alternative connection specification, taking a structure list.layer.pairs
Alternative connection specification, taking a structure list.layer.pairs.list
Returning log-likelihood for a set of parameter values.layer.param.loglik
Returning log-likelihoods for a set of parameter value sets.layer.param.logliks
Prediction based on previously performed analysis using single point estimate for the parameter setlayer.predict.estimate
Prediction based on previously performed MCMC analysislayer.predict.mcmc
Prediction based on previously performed MCMC analysislayer.predict.mcmc.list
Specifying a prior distribution for the layer.analyzer.layer.prior
Represents a measurement time series.layer.series.structure
Specifying a suggestion for prior distribution, for data that will be log-transformed.layer.standard.log.prior
Specifying a default prior distribution for the layer.analyzer.layer.standard.prior
Generate a description of the process structure of a time series.layer.struct.name
Specifying a suggestion for a wide (little information) prior distribution.layer.wide.prior
Time Series Analysis Tool using Linear Layered SDEslayeranalyzer
Return maximum likelihood on the logarithmic scale for return object from 'layer.analyzer'.logLik.layered
A "layer.prior" object used for diversifications rate analysis.lrate.pr
A dataset of lynx catchment data from the Hudson Bay Company.lynx.norm
A dataset of lynx catchment data from the Hudson Bay Company.lynx.orig
A dataset of reed warbler body mass over several years.malta
Returns all ways of combining 'n' objects going form 0 to <base>.n.combinations
Return number of observations for return object from 'layer.analyzer'.nobs.layered
Outputs the description of a 'layer'series'structure' object.print.layer.series.structure
Summarizes the return object from 'layer.analyzer'.print.summary.layered
Read a series representing a measurement time series.read.layer.data.series
Time series analysis tool using linear layered SDEs.stepwise.connections.layered
Summarizes the return object from 'layer.analyzer'.summary.layered
Time series analysis tool using linear layered SDEs.traverse.connections.layered
Model traversal tool for standalone time series.traverse.standalone.layered