Man pages for qrnn
Quantile Regression Neural Network
| adam | Adaptive stochastic gradient descent optimization algorithm... |
| censored.mean | A hybrid mean/median function for left censored variables |
| composite.stack | Reformat data matrices for composite quantile regression |
| dummy.code | Convert a factor to a matrix of dummy codes |
| gam.style | Modified generalized additive model plots for interpreting... |
| huber | Huber norm and Huber approximations to the ramp and tilted... |
| mcqrnn | Monotone composite quantile regression neural network... |
| qrnn2 | Fit and make predictions from QRNN models with two hidden... |
| qrnn.cost | Smooth approximation to the tilted absolute value cost... |
| qrnn.fit | Main function used to fit a QRNN model or ensemble of QRNN... |
| qrnn.initialize | Initialize a QRNN weight vector |
| qrnn-package | Quantile Regression Neural Network |
| qrnn.predict | Evaluate quantiles from trained QRNN model |
| qrnn-rbf | Radial basis function kernel |
| quantile.dtn | Interpolated quantile distribution with exponential tails and... |
| tilted.abs | Tilted absolute value function |
| transfer | Transfer functions and their derivatives |
| YVRprecip | Daily precipitation data at Vancouver Int'l Airport (YVR) |
