stagnant


	This is the well-studied data from R.A. Cook's Ph.D.
	thesis (Queen's University) on the relationship between the flow
	rate and band height of water on an incline.


datasets


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.

Grace Chiu

bentcableAR

Bent-Cable Regression for Independent Data or Autoregressive
Time Series

stagnant function

A data frame with two columns:
	<ul>
<li><code>logflow</code> The flow rate in g/cm-s, log-transformed 
		</li>
<li><code>loght</code> The band height in cm, log-transformed. 
	</li>
</ul> 

Format

Seber, G. A. F. and Wild, C. J. (2003), <em>Nonlinear
Regression</em>, Hoboken: Wiley.

stagnant: Stagnant Band Height Data

Description

Usage

Arguments

Format

Source

References