Regression Models with Break-Points / Change-Points Estimation (with Possibly Random Effects)
Average annual per cent change in segmented trend analysis
Fitted values for segmented relationships
Confidence intervals in segmented mixed models
Confidence intervals for breakpoints
Confidence intervals for jumpoints in stepmented regression
Testing for a change in the slope
History for the breakpoint estimates
Fitted values for segmented mixed fits
Intercept estimates from segmented relationships
Bars for interval estimate of the breakpoints
Bars for interval estimate of the breakpoints
Design matrix for segmented fits
Design matrix for stepmented fits
Plot method for segmented mixed objects
Plot method for segmented objects
Plot method for stepmented objects
Points method for segmented objects
Predict method for segmented model fits
Predict method for stepmented model fits
Print method for the segmented.lme class
Print method for the segmented class
Testing for existence of one breakpoint
Power Analysis in segmented regression
Auxiliary for controlling segmented/stepmented model fitting
Fitter Functions for Segmented Linear Models
Specifying a segmented/stepmented term in the segreg/stepreg formula
Segmented Relationships in Regression Models with Breakpoints / Change...
Segmented relationships in linear mixed models
Segmented relationships in regression models
Fitting segmented/stepmented regression
Selecting the number of breakpoints in segmented regression
Slope estimates from segmented/stepmented relationships
Fitter Functions for stepmented Linear Models
stepmented relationships in regression models
Summarizing model fits for segmented mixed-effects regression
Summarizing model fits for segmented regression
Summarizing model fits for stepmented regression
Variance-Covariance Matrix for a Fitted Segmented Mixed Model
Variance-Covariance Matrix for a Fitted Segmented Model
Variance-Covariance Matrix for a Fitted Stepmented Model
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>).