SC19057/package: A final work for 'Statistical Computing' course
Two R functions and a cpp function are involved in the package. One R function is used to compute the k-nearest neighbor density estimation and the other R function is used to test indenpence under kernel density estimation and bootstap method. The cpp function is a random walk Metropolis sampler for generating the standard Laplace distribution. Besides, to use these functions, make sure you've installed R_package "FNN" and "kedd".
Getting started
Browse package contents
Package details |
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| Author | Liu Haijiao |
| Maintainer | Liu Haijiao <hjliuu@mail.ustc.edu.cn> |
| License | GPL (>= 2) |
| Version | 1.0 |
| URL | http://github.com/SC19057/Rpackage |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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