summary.segmented.lme

object

Optional. The full covariance matrix for the parameter estimates. If provided, standard errors are computed (and displayed) according to this matrix.

.vcov

controls number of digits printed in output.

digits

&#8230;

summary method for class <code>segmented.lme</code>.

 regression

Given a regression model, segmented `updates' it by adding one or more segmented
(i.e., piece-wise linear) relationships. Several variables with multiple breakpoints 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
in Muggeo (2014, <doi:10.1177/1471082X13504721>).

Vito MR Muggeo

segmented

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

summary.segmented.lme function

<dl> <dt>object</dt>
<dd>Object of class "segmented.lme".</dd> 
 <dt>.vcov</dt>
<dd>Optional. The full covariance matrix for the parameter estimates. If provided, standard errors are computed (and displayed) according to this matrix.</dd></dl>

<dl> <dt>digits</dt>
<dd>controls number of digits printed in output.</dd></dl>

<dl> <dt>...</dt>
<dd>further arguments.</dd></dl>

Arguments

Author

Summarizing  model fits for segmented regression — summary.segmented.lme

<dl>

 <dt>object</dt>
<dd>Object of class "segmented.lme".</dd>

 
 <dt>.vcov</dt>
<dd>Optional. The full covariance matrix for the parameter estimates. If provided, standard errors are computed (and displayed) according to this matrix.</dd>

</dl>

<dl>

 <dt>digits</dt>
<dd>controls number of digits printed in output.</dd>

</dl>

<dl>

 <dt>...</dt>
<dd>further arguments.</dd>

</dl>

summary.segmented.lme: Summarizing model fits for segmented regression

Description

Usage

Value

Arguments

Author

Details

See Also

Examples