# Smooth Additive Quantile Regression Models

## Documentation for package ‘qgam’ version 2.0.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

AUDem | Australian electricity demand data
check | Generic checking function
check.learn | Visual checks for the output of tuneLearn()
check.learnFast | Visual checks for the output of tuneLearnFast()
check.qgam | Some diagnostics for a fitted qgam model
cqcheck | Visually checking a fitted quantile model
cqcheckI | Interactive visual checks for additive quantile fits
elf | Extended log-F model with fixed scale
elflss | Extended log-F model with variable scale
log1pexp | Calculating log(1+exp(x)) accurately
mqgam | Fit multiple smooth additive quantile regression models
pinLoss | Pinball loss function
qdo | Manipulating the output of 'mqgam'
qgam | Fit a smooth additive quantile regression model
sigmoid | Sigmoid function and its derivatives
tuneLearn | Tuning the learning rate for Gibbs posterior
tuneLearnFast | Fast learning rate calibration for the Gibbs posterior
UKload | UK electricity load data