Package index • segmented

All functions

aapc(): Average annual per cent change in segmented trend analysis
broken.line(): Fitted values for segmented relationships
confint(<segmented>): Confidence intervals for breakpoints
confint(<segmented.lme>): Confidence intervals in segmented mixed models
confint(<stepmented>): Confidence intervals for jumpoints in stepmented regression
davies.test(): Testing for a change in the slope
down: Down syndrome in babies
draw.history(): History for the breakpoint estimates
fitted(<segmented.lme>): Fitted values for segmented mixed fits
globTempAnom: Global temperature anomalies 1850-2023
intercept(): Intercept estimates from segmented relationships
lines(<segmented>): Bars for interval estimate of the breakpoints
lines(<stepmented>): Bars for interval estimate of the breakpoints
model.matrix(<segmented>): Design matrix for segmented fits
model.matrix(<stepmented>): Design matrix for stepmented fits
plant: Plan organ dataset
plot(<segmented>): Plot method for segmented objects
plot(<segmented.lme>): Plot method for segmented mixed objects
plot(<stepmented>): Plot method for stepmented objects
points(<segmented>): Points method for segmented objects
predict(<segmented>): Predict method for segmented model fits
predict(<stepmented>): Predict method for stepmented model fits
print(<segmented>) coef(<segmented>): Print method for the segmented class
print(<segmented.lme>) fixef(<segmented.lme>) logLik(<segmented.lme>): Print method for the segmented.lme class
pscore.test(): Testing for existence of one breakpoint
pwr.seg(): Power Analysis in segmented regression
seg(): Specifying a segmented/stepmented term in the segreg/stepreg formula
seg.control(): Auxiliary for controlling segmented/stepmented model fitting
seg.lm.fit() seg.lm.fit.boot() seg.glm.fit() seg.glm.fit.boot() seg.def.fit() seg.def.fit.boot() seg.Ar.fit() seg.Ar.fit.boot() seg.num.fit() seg.num.fit.boot() segConstr.lm.fit() segConstr.lm.fit.boot() segConstr.glm.fit() segConstr.glm.fit.boot(): Fitter Functions for Segmented Linear Models
segmented-package: Segmented Relationships in Regression Models with Breakpoints / Changepoints Estimation (with Possibly Random Effects)
segmented(): Segmented relationships in regression models
segmented(<lme>): Segmented relationships in linear mixed models
segreg() stepreg(): Fitting segmented/stepmented regression
selgmented() stelpmented(): Selecting the number of breakpoints/changepoints in segmented/stepmented regression
slope(): Slope estimates from segmented/stepmented relationships
stagnant: Stagnant band height data
step.lm.fit() step.lm.fit.boot() step.glm.fit() step.glm.fit.boot(): Fitter Functions for stepmented Linear Models
stepmented(): stepmented relationships in regression models
summary(<segmented>) print(<summary.segmented>): Summarizing model fits for segmented regression
summary(<segmented.lme>): Summarizing model fits for segmented mixed-effects regression
summary(<stepmented>) print(<summary.stepmented>) print(<stepmented>): Summarizing model fits for stepmented regression
vcov(<segmented>): Variance-Covariance Matrix for a Fitted Segmented Model
vcov(<segmented.lme>): Variance-Covariance Matrix for a Fitted Segmented Mixed Model
vcov(<stepmented>): Variance-Covariance Matrix for a Fitted Stepmented Model