Man pages for KSPM
Kernel Semi-Parametric Models
| case.names.kspm | Case names of fitted models |
| coef.kspm | Extract Model Coefficients |
| confint.kspm | Confidence interavls for linear part of model parameters |
| cooks.distance.kspm | Cook's distance for a Kernel Semi Parametric Model Fit |
| csm | Conventional and Social media features of 187 movies. |
| derivatives | Computing kernel function derivatives |
| deviance.kspm | Model deviance |
| energy | Energy consumption measuring hourly during 22 days |
| extractAIC.kspm | Extract AIC from a Kernel Semi Parametric Model |
| fitted.kspm | Extract Model Fitted values |
| flexible.summary | Summarizing Kernel Semi parametric Model Fits with flexible... |
| get.parameters | compute Kernel Semi Parametric model parameters |
| hypercoef | Extract Model Hyper-parameter |
| info.kspm | Giving information about Kernel Semi parametric Model Fits |
| Kernel | Create a Kernel Object |
| kernel.function | Kernel Functions |
| kernel.list | List of kernel parts included in the kernel semi parametric... |
| kernel.matrix | Kernel matrix |
| kernel.method | some internal methods in computation of kernel semi... |
| kspm | Fitting Kernel Semi Parametric model |
| kspmControl | Control various aspects of the optimisation problem |
| logLik.kspm | Log Likelihood of a kspm Object |
| lossFunction.looe | Computation of the leave one out error (LOOE) in kernel semi... |
| nobs.kspm | Extract the number of observations from a Kernel Semi... |
| plot.derivatives | Plot derivatives of a kspm object |
| plot.kspm | Plot Diagnostics for a kspm Object |
| predict.kspm | Predicting Kernel Semi parametric Model Fits |
| print.kspm | Print results from a Kernel Semi parametric Model Fit |
| residuals.kspm | Extract residuals from a Kernel Semi Parametric Model |
| rstandard.kspm | Standardized residuals for Kernel Semi parametric Model Fits |
| search.parameters | Optimisation to cumpute hyperparameter in Kernel Semi... |
| sigma.kspm | Extract residuals standard deviation |
| stepKSPM | Choose a model by AIC or BIC in a Stepwise Algorithm |
| summary.kspm | Summarizing Kernel Semi parametric Model Fits |
| test.function | Score Tests for kernel part in kernel semi parametric model |
| variable.names.kspm | Variable names of fitted models |
