README.md

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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NFWdist documentation built on May 2, 2019, 8:55 a.m.