Hello,
Yes, there is even an old discussion on this on r-devel, dated August,
10 2013.
See [1].
[1]
https://r-project.markmail.org/search/?q=broken-link-in-docs-for-Binormial-functions#query:broken-link-in-docs-for-Binormial-functions+page:1+mid:rf6tbiokcdyai6el+state:results
Hope this he
Thank you Peter and Spencer. That clears things up. Also since no one
responded the second part of my question, I'm still wondering if it was
noted that there is a hyperlink in the dbinom help file (?dbinom) that
isn't directing correctly?
Stefan
On Fri, Mar 15, 2019, 07:37 peter dalgaard, wrote
Stefan---
Under the measure-theoretic approach to probability, discrete & continuous
probability densities follow the same underlying mathematical principles.
Check any text on measure-theoretic probability theory.
---JFL
Stefan Schreiber
Sent by: "R-help"
03/14/2019 08:43 PM
To
r-help@
On 2019-03-15 08:37, peter dalgaard wrote:
Mathematically, you can bring discrete and continuous distributions on a common
footing by defining probability functions as densities wrt. counting measure.
You don't really need Radon-Nikodym derivatives to understand the idea, just
the fact that
Mathematically, you can bring discrete and continuous distributions on a common
footing by defining probability functions as densities wrt. counting measure.
You don't really need Radon-Nikodym derivatives to understand the idea, just
the fact that sums can be interpreted as integrals wrt counti
On 2019-03-14 19:43, Stefan Schreiber wrote:
Dear R users,
While experimenting with the dbinom() function and reading its
documentation (?dbinom) it reads that "dbinom gives the density" but
shouldn't it be called "mass" instead of "density"? I assume that it
has something to do with keeping
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