inv.trigamma

<code>inv.trigamma</code> implements the Newton iteration for solving, given
<code>x</code>, the equation for <code>y</code>: <code><a href="/link/trigamma?package=MAnorm2&version=1.2.2" data-mini-rdoc="MAnorm2::trigamma">trigamma</a>(y) = x</code>.
See appendix of the <code>limma</code> paper (see "References") for a theoretical
deduction of the method.

Chromatin immunoprecipitation followed by high-throughput
sequencing (ChIP-seq) is the premier technology for profiling genome-wide
localization of chromatin-binding proteins, including transcription
factors and histones with various modifications.
This package provides a robust method for normalizing ChIP-seq
signals across individual samples or groups of samples. It also designs
a self-contained system of statistical models for calling differential
ChIP-seq signals between two or more biological conditions as well as
for calling hypervariable ChIP-seq signals across samples. Refer to
Tu et al. (2021) <doi:10.1101/gr.262675.120> and
Chen et al. (2022) <doi:10.1186/s13059-022-02627-9>
for associated statistical details.

Shiqi Tu

MAnorm2

Tools for Normalizing and Comparing ChIP-seq Samples

inv.trigamma function

<dl><dt>x</dt>
<dd>A positive numeric scalar.</dd>
<dt>eps</dt>
<dd>The required precision of the solution.</dd></dl>

Arguments

<code>inv.trigamma</code> implements the Newton iteration for solving, given
<code>x</code>, the equation for <code>y</code>: <code><a href='https://rdrr.io/r/base/Special.html'>trigamma</a>(y) = x</code>.
See appendix of the <code>limma</code> paper (see "References") for a theoretical
deduction of the method.

Inversion of Trigamma Function — inv.trigamma

<dl>

<dt>x</dt>
<dd>A positive numeric scalar.</dd>


<dt>eps</dt>
<dd>The required precision of the solution.</dd>

</dl>

inv.trigamma: Inversion of Trigamma Function

Description

Usage

Value

Arguments

References

See Also

Examples