fit_lnpois_cpp

Fit MLE of log-normal Poisson model

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

fit_lnpois_cpp function

<dl><dt>Y_obs</dt>
<dd>Vector of observed counts</dd>
<dt>lambda_ref</dt>
<dd>Vector of reference rates</dd>
<dt>d</dt>
<dd>integer Total depth</dd></dl>

Arguments

Fit MLE of log-normal Poisson model — fit_lnpois_cpp

<dl>

<dt>Y_obs</dt>
<dd>Vector of observed counts</dd>


<dt>lambda_ref</dt>
<dd>Vector of reference rates</dd>


<dt>d</dt>
<dd>integer Total depth</dd>

</dl>

fit_lnpois_cpp: Fit MLE of log-normal Poisson model

Description

Usage

Value

Arguments