Takes a fitted <code>segmented</code> object returned by <code>segmented()</code> and adds
 on the current plot the joinpoints of the fitted broken-line relationships.

points.segmented

Fitting regression models where, in addition to possible linear terms, one or more covariates have segmented (i.e., broken-line or piece-wise linear) or stepmented (i.e. piece-wise constant) effects. Multiple breakpoints for the same variable are allowed.
The estimation method is discussed in Muggeo (2003, <doi:10.1002/sim.1545>) and
illustrated in Muggeo (2008, <https://www.r-project.org/doc/Rnews/Rnews_2008-1.pdf>). An approach for hypothesis testing is presented
in Muggeo (2016, <doi:10.1080/00949655.2016.1149855>), and interval estimation for the breakpoint is discussed in Muggeo (2017, <doi:10.1111/anzs.12200>).
Segmented mixed models, i.e. random effects in the change point, are discussed in Muggeo (2014, <doi:10.1177/1471082X13504721>).
Estimation of piecewise-constant relationships and changepoints (mean-shift models) is
discussed in Fasola et al. (2018, <doi:10.1007/s00180-017-0740-4>).

Vito MR Muggeo

segmented

Regression Models with Break-Points / Change-Points Estimation
(with Possibly Random Effects)

points.segmented function

Points method for segmented objects — points.segmented

<dl>

 <dt>x</dt>
<dd>an object of class <code>segmented</code>.</dd>

 <dt>term</dt>
<dd>the segmented variable of interest. It may be unspecified when there is a single segmented variable.</dd>

 <dt>interc</dt>
<dd>If <code>TRUE</code> the computed joinpoints include the model intercept (if it exists).</dd>

 <dt>link</dt>
<dd>when <code>TRUE</code> (default), the fitted joinpoints are plotted on the link scale</dd>

 <dt>rev.sgn</dt>
<dd>when <code>TRUE</code>, the fitted joinpoints are plotted on the `minus' scale
of the current <code>term</code> variable. This is useful when a null-constraint 
has been set on the last slope.</dd>

 <dt>transf</dt>
<dd>A possible function to convert the fitted values before plotting.</dd>

 <dt>.vcov</dt>
<dd>The full covariance matrix of estimates. If unspecified (i.e. <code>NULL</code>), the covariance matrix is computed internally by <code><a href='https://rdrr.io/r/stats/vcov.html'>vcov()</a></code>.</dd>

 <dt>.coef</dt>
<dd>The regression parameter estimates. If unspecified (i.e. <code>NULL</code>), it is computed internally by <code>coef(x)</code>.</dd>

 <dt>const</dt>
<dd>A constant to be added (on the y-scale) to the values before transforming and plotting.</dd>

 <dt>v</dt>
<dd>logical. If <code>TRUE</code>, vertical lines at the breakpoints are also drawn.</dd>

 <dt>...</dt>
<dd>other graphics parameters to pass on to <code><a href='https://rdrr.io/r/graphics/points.html'>points()</a></code> and <code><a href='https://rdrr.io/r/graphics/segments.html'>segments()</a></code> (if <code>v=TRUE</code>).</dd>

</dl>

points.segmented: Points method for segmented objects

Description

Usage

Arguments

Details

See Also

Examples