fitted.segmented.lme

Computes fitted values at different levels of nesting for segmented mixed objects

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)

fitted.segmented.lme function

<dl> <dt>object</dt>
<dd>Object of class <code>"segmented.lme"</code></dd> <dt>level</dt>
<dd>the level to be considered. Currently only levels 0 or 1 are allowed.</dd> <dt>sort</dt>
<dd>If <code>TRUE</code>, the fitted values are sorted by the names of the 'id' levels.</dd>
 <dt>...</dt>
<dd>Ignored</dd></dl>

Arguments

Author

All the functions for segmented mixed models (*.segmented.lme) are still at an experimental stage

Warning 

Fitted values for segmented mixed fits — fitted.segmented.lme

<dl>

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

 <dt>level</dt>
<dd>the level to be considered. Currently only levels 0 or 1 are allowed.</dd>

 <dt>sort</dt>
<dd>If <code>TRUE</code>, the fitted values are sorted by the names of the 'id' levels.</dd>


 <dt>...</dt>
<dd>Ignored</dd>

</dl>

fitted.segmented.lme: Fitted values for segmented mixed fits

Description

Usage

Value

Arguments

Author

Warning

Details

See Also