Function reference

brokenstick()
 Fit a
brokenstick
model to irregular data

coef(<brokenstick>)
 Extract Model Coefficients from brokenstick Object

fitted(<brokenstick>)
 Calculate fitted values

plot(<brokenstick>)
 Plot observed and fitted trajectories by group

predict(<brokenstick>)
 Predict from a
brokenstick
model

print(<brokenstick>)
 Print brokenstick object

residuals(<brokenstick>)
 Extract residuals from brokenstick model

summary(<brokenstick>)
 Create summary of brokenstick object
Helper functions
Functions to set algorithmic options for model fitting or to extract components of the fitted object.

control_kr()
 Set controls for KasimRaudenbush sampler

get_knots()
 Obtain the knots from a broken stick model

get_omega()
 Extract Variance and Correlation Components

get_r2()
 Obtain proportion of explained variance from a broken stick model

parse_formula()
 Parse formula for brokenstick model
Numerical functions
Functions that perform the necessary calculations for the broken stick model. Not designed to be called directly.

EB()
 Empirical Bayes predictor for random effects

kr()
 KasimRaudenbush sampler for twolevel normal model

make_basis()
 Create linear splines basis

plot_trajectory()
 Plot observed and fitted trajectories from fitted brokenstick model

set_control()
 Set controls to steer calculations

brokenstickclass
 Class
brokenstick

brokenstickpkg
 brokenstick: A package for irregular longitudinal data.

smocc_200
 Infant growth of 02 years, SMOCC data extract

fit_200
 Broken stick model with nine lines for 200 children

fit_200_light
 Broken stick model with nine lines for 200 children (light)

weightloss
 Weight loss selfmeasurement data