R: Quantile Regression Neural Network

# Quantile Regression Neural Network

## Documentation for package ‘qrnn’ version 2.1.1

- DESCRIPTION file
- Package README

## Help Pages

qrnn-package | Quantile Regression Neural Network
adam | Adaptive stochastic gradient descent optimization algorithm (Adam)
censored.mean | A hybrid mean/median function for left censored variables
composite.stack | Reformat data matrices for composite quantile regression
dquantile | Interpolated quantile distribution with exponential tails and Nadaraya-Watson quantile distribution
dummy.code | Convert a factor to a matrix of dummy codes
elu | Transfer functions and their derivatives
elu.prime | Transfer functions and their derivatives
gam.style | Modified generalized additive model plots for interpreting QRNN models
hramp | Huber norm and Huber approximations to the ramp and tilted absolute value functions
hramp.prime | Huber norm and Huber approximations to the ramp and tilted absolute value functions
huber | Huber norm and Huber approximations to the ramp and tilted absolute value functions
huber.prime | Huber norm and Huber approximations to the ramp and tilted absolute value functions
linear | Transfer functions and their derivatives
linear.prime | Transfer functions and their derivatives
logistic | Transfer functions and their derivatives
logistic.prime | Transfer functions and their derivatives
lrelu | Transfer functions and their derivatives
lrelu.prime | Transfer functions and their derivatives
mcqrnn | Monotone composite quantile regression neural network (MCQRNN) for simultaneous estimation of multiple non-crossing quantiles
mcqrnn.fit | Monotone composite quantile regression neural network (MCQRNN) for simultaneous estimation of multiple non-crossing quantiles
mcqrnn.predict | Monotone composite quantile regression neural network (MCQRNN) for simultaneous estimation of multiple non-crossing quantiles
pquantile | Interpolated quantile distribution with exponential tails and Nadaraya-Watson quantile distribution
pquantile.nw | Interpolated quantile distribution with exponential tails and Nadaraya-Watson quantile distribution
qquantile | Interpolated quantile distribution with exponential tails and Nadaraya-Watson quantile distribution
qquantile.nw | Interpolated quantile distribution with exponential tails and Nadaraya-Watson quantile distribution
qrnn | Quantile Regression Neural Network
qrnn.cost | Smooth approximation to the tilted absolute value cost function
qrnn.fit | Main function used to fit a QRNN model or ensemble of QRNN models
qrnn.initialize | Initialize a QRNN weight vector
qrnn.predict | Evaluate quantiles from trained QRNN model
qrnn.rbf | Radial basis function kernel
qrnn2.fit | Fit and make predictions from QRNN models with two hidden layers
qrnn2.predict | Fit and make predictions from QRNN models with two hidden layers
relu | Transfer functions and their derivatives
relu.prime | Transfer functions and their derivatives
rquantile | Interpolated quantile distribution with exponential tails and Nadaraya-Watson quantile distribution
rquantile.nw | Interpolated quantile distribution with exponential tails and Nadaraya-Watson quantile distribution
sigmoid | Transfer functions and their derivatives
sigmoid.prime | Transfer functions and their derivatives
softmax | Transfer functions and their derivatives
softplus | Transfer functions and their derivatives
softplus.prime | Transfer functions and their derivatives
tilted.abs | Tilted absolute value function
tilted.approx | Huber norm and Huber approximations to the ramp and tilted absolute value functions
tilted.approx.prime | Huber norm and Huber approximations to the ramp and tilted absolute value functions
YVRprecip | Daily precipitation data at Vancouver Int'l Airport (YVR)