Wright & London's Modern Regression Techniques
Datasets and functions from Wright and London's Modern
Regression Techniques

Package for Calculation of ARMSS, Local MSSS and Global MSSS
Calculates ARMSS, age related multiple sclerosis severity score, and both local and global msss.

Calculates ARMSS (age related multiple sclerosis severity), and both local and global MSSS (multiple sclerosis severity score).

Multiscale Bernstein Polynomials for Densities
Performs Bayesian nonparametric multiscale density estimation and multiscale testing of group differences with multiscale Bernstein polynomials (msBP) mixtures as in Canale and Dunson (2014).

Performs Bayesian nonparametric multiscale density estimation and multiscale testing of group differences with multiscale Bernstein polynomials (msBP) mixtures as in Canale and Dunson (2016).

Protein Mass Spectra Dataset from a Breast Cancer Study
Lixin Gong, William Constantine, and Yu Alex Chen
This package provides a dataset of 96 protein mass spectra
generated from a pooled sample of nipple aspirate fluid (NAF)
from healthy breasts and breasts with cancer.
2007-2008 Insightful Corporation. All rights reserved.

2007-2009 TIBCO Software Inc. All rights reserved.

Orphaned on 2012-07-25 as the original maintainer,
Lixin Gong <lgong@tibco.com>, is uncontactable.

Protein Mass Spectra Dataset from a Dilution Experiment
This package provides a dataset of 280 MALDI-TOF mass spectra
generated from a dilution experiment aimed at elucidating which features in
MALDI-TOF mass spectrometry data are informative for quantifying peptide
content.

This package provides a dataset of 280 MALDI-TOF mass
spectra generated from a dilution experiment aimed at
elucidating which features in MALDI-TOF mass spectrometry data
are informative for quantifying peptide content.

Lixin Gong, William Constantine, and Alex Chen
R (>= 2.5.0), RSQLite (>= 0.5-6), wmtsa, robust, XML, stats
RSQLite (>= 0.5-6), wmtsa, robust, SPXML
This package provides tools for protein mass spectra processing
including data preparation, denoising, noise estimation, baseline correction,
intensity normalization, peak detection, peak alignment, peak quantification,
and various functionalities for data ingestion/conversion, mass calibration,
data quality assessment, and protein mass spectra simulation.
It also provides auxiliary tools for data representation, data visualization,
and pipeline processing history recording and retrieval.