| bandwidth.scott | Scott's rule of thumb |
| convol | Kernel convolution |
| create.grid | Create a grid for kernel estimation |
| glm.inverse.link | Link function for GLM |
| glm.link | (Inverse) Link function for GLM |
| glm.ll | Log-likelihood for GLM |
| glm.lld | Log-likelihood derivatives for GLM |
| kbackfit | Backfitting for an additive model using kernel regression |
| kde | Kernel density estimation |
| kernel.constants | Kernel constants |
| kernel.function | Kernel function |
| kgplm | Generalized partial linear model |
| kreg | Kernel regression |
| sgplm1 | Generalized partial linear model |