Quantile Regression Neural Network

Documentation for package ‘qrnn’ version 1.1.3

qrnn-package	Quantile Regression Neural Network
censored.mean	A hybrid mean/median function for left censored variables
dquantile	Interpolated quantile distribution with exponential tails
gam.style	GAM-style effects plots for interpreting qrnn models
hramp	Huber norm approximation to the ramp function
hramp.prime	Derivative of the Huber norm approximation to the ramp function
huber	Huber norm function
huber.prime	Derivative of the Huber norm function
linear	Identity function
linear.prime	Derivitative of the linear function
pquantile	Interpolated quantile distribution with exponential tails
qquantile	Interpolated quantile distribution with exponential tails
qrnn	Quantile Regression Neural Network
qrnn.cost	Huber norm approximation to the tilted absolute value cost function
qrnn.eval	Evaluate outputs from a QRNN model
qrnn.fit	Main function used to fit a QRNN model or ensemble of QRNN models
qrnn.initialize	Initialize a QRNN weight vector
qrnn.nlm	Fit a QRNN model via nlm()
qrnn.predict	Evaluate quantiles from trained QRNN model
qrnn.rbf	Radial basis function kernel
qrnn.reshape	Reshape a QRNN weight vector
rquantile	Interpolated quantile distribution with exponential tails
sigmoid	Sigmoid function
sigmoid.prime	Derivative of the sigmoid function
sinc	Noisy sinc dataset
tilted.abs	Tilted absolute value function
tilted.huber	Tilted Huber norm function
tilted.huber.prime	Derivative of the tilted Huber norm function
YVRprecip	Daily precipitation data at Vancouver Int'l Airport (YVR)