cctools is an R package implementing the uniform scaled beta distribution, a generic function for continuous convolution, and the continuous convolution kernel density estimator, see Nagler (2017).

- the stable release on CRAN:

```
install.packages("cctools")
```

- the latest development version:

```
devtools::install_github("tnagler/cctools")
```

For a detailed description, see the API documentation.

`dusb()`

,`rusb()`

: Density and simulation functions for the uniform scaled beta distribution.`cont_conv()`

: Expands all factor variables in a data frame and applies the continuous convolution tricks to all`ordered()`

variables.`cckde()`

,`dcckde()`

,`predict.cckde()`

: fit and evaluate the continuous convolution kernel density estimator.

Nagler, T. (2017). *A generic approach to nonparametric function estimation
with mixed data.*
arXiv:1704.07457

tnagler/cctools documentation built on Nov. 28, 2017, 10:16 a.m.

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