Time Series Analysis Tool using Linear Layered SDEs

---

Documentation for package ‘layeranalyzer’ version 0.4.1

• DESCRIPTION file.
• Package NEWS.

Help Pages

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