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bentcableAR (version 0.3.0)

Bent-Cable Regression for Independent Data or Autoregressive Time Series

Description

Included are two main interfaces for fitting and diagnosing bent-cable regressions for autoregressive time-series data or independent data (time series or otherwise): 'bentcable.ar()' and 'bentcable.dev.plot()'. Some components in the package can also be used as stand-alone functions. The bent cable (linear-quadratic-linear) generalizes the broken stick (linear-linear), which is also handled by this package. Version 0.2 corrects a glitch in the computation of confidence intervals for the CTP. References that were updated from Versions 0.2.1 and 0.2.2 appear in Version 0.2.3 and up. Version 0.3.0 improves robustness of the error-message producing mechanism. It is the author's intention to distribute any future updates via GitHub.

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Version

Install

install.packages('bentcableAR')

Monthly Downloads

339

Version

0.3.0

License

GPL (>= 3)

Maintainer

Grace Chiu

Last Published

April 10th, 2015

Functions in bentcableAR (0.3.0)

cable.ar.p.resid

Fitted Residuals and Innovations for AR(p>0) Bent Cable
bentcableAR-internal

Internal 'bentcableAR' Functions
bentcableAR

The Bent-Cable Regression Package
cable.ar.p.plot

Plot Bent Cable AR(p) Fit Over Data
cable.change.conf

Confidence Interval for CTP of AR(p) Bent Cable
sockeye

Rivers Inlet Sockeye Abundance
stick.ar.0

Broken-Stick Regression for Independent Data
stagnant

Stagnant Band Height Data
cable.fit.known.change

Grid-based Bent-Cable Regression for Independent or AR Data
is.stationary

Stationarity Check of AR Time Series
cable.lines

Overlay Bent Cable On Existing Plot
bentcable.ar

Bent-Cable Regression for Independent and Autoregressive Data
cable.ar.p.diag

Bent-Cable AR(p>0) Diagnostics
cable.ar.p.iter

Bent-Cable Regression for Independent or AR Data, With Exception
fullcable.t

Evaluate Bent Cable Function