<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>williamarrata.r-universe.dev</title><link>https://williamarrata.r-universe.dev</link><description>Recent package updates in williamarrata</description><generator>R-universe</generator><image><url>https://github.com/williamarrata.png</url><title>R packages by williamarrata</title><link>https://williamarrata.r-universe.dev</link></image><lastBuildDate>Sun, 14 Jun 2026 18:48:19 GMT</lastBuildDate><item><title>[williamarrata] yrnd 0.1.4</title><author>william.arrata@gmail.com (William Arrata)</author><description>Provides with parametric Risk Neutral Densities (RNDs) and
cumulative densities of futures prices on fixed-income
products. It relies on options on Short Term Interest Rate
futures or options on government bond futures. It models the
futures price as a mixture of lognormal densities. It also
provides with the RNDs and cumulative densities of the money
market rate or the government bond yield inferred from the
futures price, using the RND of the futures price. It
eventually provides with the probability attached to each bond
in the delivery basket of a government bond futures to be the
cheapest at maturity, using the RND of the bond futures price.
The package leverages on the works of Melick, W. R. and Thomas,
C. P. (1997) &lt;doi:10.2307/2331318&gt; and B. Bahra (1998)
&lt;doi:10.2139/ssrn.77429&gt;.</description><link>https://github.com/r-universe/williamarrata/actions/runs/27509709482</link><pubDate>Sun, 14 Jun 2026 18:48:19 GMT</pubDate><r:package>yrnd</r:package><r:version>0.1.4</r:version><r:status>success</r:status><r:repository>https://williamarrata.r-universe.dev</r:repository><r:upstream>https://github.com/cran/yrnd</r:upstream><r:article><r:source>yrnd_functions.Rmd</r:source><r:filename>yrnd_functions.html</r:filename><r:title>yrnd_functions</r:title><r:created>2026-02-18 19:20:02</r:created><r:modified>2026-06-14 18:48:19</r:modified></r:article></item></channel></rss>