Grace Chiu <bentcable@gmail.com>, CSIRO Mathematics,
Informatics and Statistics, GPO Box 664, Canberra, ACT 2601,
Australia
This package contains two main interfaces for fitting and
diagnosing bent-cable regressions for autoregressive
time-series data or independent data (time series or
otherwise). The interfaces are '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 updated from Version 0.2.1
appear in Version 0.2.2.

This package contains two main interfaces for fitting and
diagnosing bent-cable regressions for autoregressive
time-series data or independent data (time series or
otherwise). The interfaces are '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 updated from Versions 0.2.1
and 0.2.2 appear in Version 0.2.3.

Grace Chiu <bentcable@gmail.com>,
CSIRO,
CSIT Bldg, ANU Campus, Acton, ACT 2601, Australia
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.