Man pages for plgp
Particle Learning of Gaussian Processes
| addpall.GP | Add data to pall |
| data.GP | Supply GP data to PL |
| draw.GP | Metropolis-Hastings draw for GP parameters |
| exp2d.C | 2-d Exponential Hessian Data |
| init.GP | Initialize particles for GPs |
| lpredprob.GP | Log-Predictive Probability Calculation for GPs |
| papply | Extending apply to particles |
| params.GP | Extract parameters from GP particles |
| PL | Particle Learning Skeleton Method |
| plgp-internal | Internal plgp Functions |
| plgp-package | Particle Learning of Gaussian Processes |
| pred.GP | Prediction for GPs |
| prior.GP | Generate priors for GP models |
| propagate.GP | PL propagate rule for GPs |
| rectscale | Un/Scale data in a bounding rectangle |
