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| .kernelsList | Smoothing kernels |
| bandwidth | Bandwidth calculation |
| cv | Coefficient of variation |
| dbern | The Bernoulli distribution |
| densityfun | Kernel density estimation |
| distr2name | Conversion between abbreviated distribution names and proper names |
| erf | Error function |
| find_breaks | Breakpoints to be passed to a Histogram |
| hellinger | Hellinger distance |
| histo | Alternative Histograms |
| kernelfun | Smoothing kernels |
| kernelfun.character | Smoothing kernels |
| kernelfun.function | Smoothing kernels |
| kernel_properties | Smoothing kernels |
| knots.picor | Piecewise-constant regression |
| lagk | Lag a vector |
| mfv | Most frequent value(s) |
| mfv.default | Most frequent value(s) |
| mfv.tableNA | Most frequent value(s) |
| mfv1 | Most frequent value(s) |
| midhinge | Midhinge |
| midrange | Mid-range |
| name2distr | Conversion between abbreviated distribution names and proper names |
| pbern | The Bernoulli distribution |
| picor | Piecewise-constant regression |
| plot.loess | Basic plot of a loess object |
| plot.picor | Piecewise-constant regression |
| predict.default | Default model predictions |
| predict.picor | Piecewise-constant regression |
| print.picor | Piecewise-constant regression |
| qbern | The Bernoulli distribution |
| rbern | The Bernoulli distribution |
| tableNA | Alternative Table Creation |
| trimean | Tukey's trimean |