dbbinom

Beta-binomial distribution density function
A distribution is beta-binomial if p, the probability of success,
in a binomial distribution has a beta distribution with shape
parameters alpha &gt; 0 and beta &gt; 0
For more details, see extraDistr::dbbinom

Haplotype-aware Hidden Markov Model for RNA (HaHMMR) is a method for detecting copy number variations (CNVs) from bulk RNA-seq data. Additional examples, documentations, and details on the method are available at <https://github.com/kharchenkolab/hahmmr/>.

Teng Gao

hahmmr

Haplotype-Aware Hidden Markov Model for RNA

Evan Biederstedt

Peter Kharchenko

dbbinom function

<dl><dt>x</dt>
<dd>vector of quantiles</dd>
<dt>size</dt>
<dd>number of trials (zero or more)</dd>
<dt>alpha</dt>
<dd>numeric (default=1)</dd>
<dt>beta</dt>
<dd>numeric (default=1)</dd>
<dt>log</dt>
<dd>boolean (default=FALSE)</dd></dl>

Arguments

Beta-binomial distribution density function
A distribution is beta-binomial if p, the probability of success,
in a binomial distribution has a beta distribution with shape
parameters alpha &gt; 0 and beta &gt; 0
For more details, see extraDistr::dbbinom — dbbinom

<dl>

<dt>x</dt>
<dd>vector of quantiles</dd>


<dt>size</dt>
<dd>number of trials (zero or more)</dd>


<dt>alpha</dt>
<dd>numeric (default=1)</dd>


<dt>beta</dt>
<dd>numeric (default=1)</dd>


<dt>log</dt>
<dd>boolean (default=FALSE)</dd>

</dl>

Beta-binomial distribution density function
A distribution is beta-binomial if p, the probability of success,
in a binomial distribution has a beta distribution with shape
parameters alpha &gt; 0 and beta &gt; 0
For more details, see extraDistr::dbbinom

dbbinom: Beta-binomial distribution density function A distribution is beta-binomial if p, the probability of success, in a binomial distribution has a beta distribution with shape parameters alpha > 0 and beta > 0 For more details, see extraDistr::dbbinom

Description

Usage

Value

Arguments

Examples