summary.segmented.lme

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

 regression

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)

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 mixed-effects 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 mixed-effects regression

Description

Usage

Value

Arguments

Author

Details

See Also

Examples