Package: KSPM 0.2.1

Key theoretical details | The model | Single kernel semi-parametric model | Multiple kernel semi-parametric model | Kernel interactions | Kernel functions | Estimation of parameters | Tests of hypotheses in KSPM | Interpretation of variable effects through derivatives | Example: movie ratings dataset | Data importation | Predicting ratings using the set of conventional features | Fitting the model | Diagnostic plots | Interpretation of coefficients through pointwise derivatives plots | Comparing choices of kernel function | Predicting ratings using both conventional and social media features | Prediction for new data | Prediction for current data | An example of variables selection procedure | Illustration 2: consumption of energy | A first model | Impact of the tuning parameter $\rho$ on predictions and derivatives | References