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title: "NFW Distribution Sampling" output: github_document
```{r setup, include=FALSE} knitr::opts_chunk$set(echo = TRUE)
## GitHub Documents
This package lets you sample from the NFW as a true PDF with the only variable being the concerntration (con in the package).
## Load
Load with:
library(NFWdist)
## Checks
Here we see that our random draws (using the **rnfw** via the **qnfw** function) produces the right PDFs (as per **dnfw**):
for(con in c(1,5,10,20)){ plot(density(rnfw(1e6,con=con), bw=0.01)) lines(seq(0,1,len=1e3), dnfw(seq(0,1,len=1e3),con=con),col='red') legend('topright',legend=paste('con =',con)) } ```
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