Gaussian Process Regression Models with Linear Inequality
Constraints
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Documentation for package ‘lineqGPR’ version 0.1.1
- DESCRIPTION file.
- Code demos. Use demo() to run them.
Help Pages
| lineqGPR-package | Gaussian Processes with Linear Inequality Constraints |
| augment.lineqAGP | Augmenting Method for the '"lineqAGP"' S3 Class |
| augment.lineqGP | Augmenting Method for the '"lineqGP"' S3 Class |
| basisCompute.lineqAGP | Hat Basis Functions for '"lineqAGP"' Models |
| basisCompute.lineqGP | Hat Basis Functions for '"lineqGP"' Models |
| bounds2lineqSys | Linear Systems of Inequalities |
| constrlogLikFun | Log-Constrained-Likelihood of a Gaussian Process. |
| constrlogLikGrad | Numerical Gradient of the Log-Constrained-Likelihood of a Gaussian Process. |
| create | Model Creations |
| create.lineqAGP | Creation Method for the '"lineqAGP"' S3 Class |
| create.lineqGP | Creation Method for the '"lineqGP"' S3 Class |
| errorMeasureRegress | Error Measures for GP Models. |
| errorMeasureRegressMC | Error Measures for GP Models using Monte Carlo Samples. |
| ggplot.lineqDGP | GGPlot for the '"lineqDGP"' S3 Class |
| ggplot.lineqGP | GGPlot for the '"lineqGP"' S3 Class |
| k1exponential | 1D Exponential Kernel Matrix for '"lineqGP"' Models. |
| k1gaussian | 1D Gaussian Kernel Matrix for '"lineqGP"' Models. |
| k1matern32 | 1D Matern 3/2 Kernel Matrix for '"lineqGP"' Models. |
| k1matern52 | 1D Matern 5/2 Kernel Matrix for '"lineqGP"' Models. |
| k2gaussian | 2D Gaussian Kernel Matrix for '"lineqGP"' Models. |
| kernCompute | Kernel Matrix for '"lineqGP"' Models. |
| lineqAGPSys | Linear Systems of Inequalities for '"lineqAGP"' Models |
| lineqGPOptim | Gaussian Process Model Optimizations |
| lineqGPR | Gaussian Processes with Linear Inequality Constraints |
| lineqGPSys | Linear Systems of Inequalities for '"lineqGP"' Models |
| logLikAdditiveFun | Log-Likelihood of a Additive Gaussian Process. |
| logLikAdditiveGrad | Gradient of the Log-Likelihood of a Additive Gaussian Process. |
| logLikFun | Log-Likelihood of a Gaussian Process. |
| logLikGrad | Gradient of the Log-Likelihood of a Gaussian Process. |
| plot.lineqAGP | Plot for the '"lineqAGP"' S3 Class |
| plot.lineqGP | Plot for the '"lineqGP"' S3 Class |
| predict.lineqAGP | Prediction Method for the '"lineqAGP"' S3 Class |
| predict.lineqGP | Prediction Method for the '"lineqGP"' S3 Class |
| simulate.lineqAGP | Simulation Method for the '"lineqAGP"' S3 Class |
| simulate.lineqGP | Simulation Method for the '"lineqGP"' S3 Class |
| splitDoE | Training/test data generator according to a given Design of Experiment (DoE) |
| tmvrnorm | Sampling Methods of Truncated Multivariate Normal Distributions |
| tmvrnorm.ExpT | '"tmvrnorm"' Sampler for '"ExpT"' (Exponential Tilting) S3 Class |
| tmvrnorm.HMC | '"tmvrnorm"' Sampler for '"HMC"' (Hamiltonian Monte Carlo) S3 Class |
| tmvrnorm.RSM | '"tmvrnorm"' Sampler for '"RSM"' (Rejection Sampling from the Mode) S3 Class |