fit_pos_optim

fitting data with poisson through optim function

An independent, reproducible, and flexible Spatially Resolved Transcriptomics (SRT) simulation framework that can be used to facilitate the development of SRT analytical methods for a wide variety of SRT-specific analyses. It utilizes spatial localization information to simulate SRT expression count data in a reproducible and scalable fashion. Two major simulation schemes are implemented in 'SRTsim': reference-based and reference-free.

Jiaqiang Zhu

SRTsim

Simulator for Spatially Resolved Transcriptomics

Lulu Shang

Xiang Zhou

fit_pos_optim function

<dl><dt>x</dt>
<dd>A vector of count values to be fitted</dd>
<dt>maxiter</dt>
<dd>number of iteration</dd></dl>

Arguments

fitting data with poisson through optim function — fit_pos_optim

<dl>

<dt>x</dt>
<dd>A vector of count values to be fitted</dd>


<dt>maxiter</dt>
<dd>number of iteration</dd>

</dl>

fit_pos_optim: fitting data with poisson through optim function

Description

Usage

Value

Arguments