missMS-package: Missing data models for label-free proteomics

In ColtoCaro/missMS: Missing Data Models for Label-Free Mass Spectrometry Proteomics

Description

The missMS package enables users to fit missing data models models for label-free mass spectrometry experiments. The package is designed to make these models accesible to people without a background in Bayesian statistics or missing data modeling. This is done by requiring users to follow a very specific format for data entry. Once the data is formatted properly everything else is handled internally. The required fields and headers are explained in the documentation for the sample data NEED SAMPLE DATA.

Model Details

This is where I will explain the model and the options for use:

Here is a detailed description.

ColtoCaro/missMS documentation built on May 7, 2019, 2:52 a.m.