Title: Regression Analysis for Very Large Data Sets via Merge and
Author: Esther Denecke [aut], Leo N. Geppert [aut, cre], Steffen Maletz [ctb],
Description: Frequentist and Bayesian linear regression for large data sets. Useful
when the data does not fit into memory (for both frequentist and Bayesian regression),
to make running time manageable (mainly for Bayesian regression), and to reduce
the total running time because of reduced or less severe memory-spillover into
the virtual memory. This is an implementation of Merge & Reduce for linear regression
as described in Geppert, L.N., Ickstadt, K., Munteanu, A., & Sohler, C. (2020).
'Streaming statistical models via Merge & Reduce'. International Journal of

Title: Wright & London's Modern Regression Techniques
Maintainer: Daniel B. Wright <dwright@fiu.edu>
Description: Datasets and functions from Wright and London's Modern

Title: Package for Calculation of ARMSS, Local MSSS and Global MSSS
Author: Helga Westerlind, Ali Manouchehrinia
Description: Calculates ARMSS, age related multiple sclerosis severity score, and both local and global msss.

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

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

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

Title: Protein Mass Spectra Dataset from a Breast Cancer Study
Author: Lixin Gong, William Constantine, and Yu Alex Chen
Description: 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.
Copyright: 2007-2008 Insightful Corporation. All rights reserved.
Packaged: Thu May 29 14:39:36 2008; lgong