Function reference • brokenstick

Main user functions

Functions to fit, predict and visualise the broken stick model.

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 Kasim-Raudenbush 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(): Kasim-Raudenbush sampler for two-level 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

Class documentation

Package-level documentation.

brokenstick-class: Class brokenstick

brokenstick-pkg: brokenstick: A package for irregular longitudinal data.

Data objects

Documentation for built-in data objects

smocc_200: Infant growth of 0-2 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 self-measurement data