BillVenables/kdeR: Kernel Density Estimates
An R and Rcpp implementation of one- and two-dimensional kernel density estimation with gaussian kernels. The algorithm is naive and does not involve the FFT, and hence mainly for expository purposes, but is reasonably fast for intermediate sized samples. Known range limits are well handled.
Getting started
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Package details |
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| Author | Bill Venables |
| Maintainer | Bill Venables <bill.venables@gmail.com> |
| License | GPL (>= 2) |
| Version | 0.2.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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