person(given = "Felix", family = "Held", email = "felix.held@gmail.com",
See Klami et al. (2013) <https://research.cs.aalto.fi/pml/online-papers/klami13a.pdf>
and	Virtanen et al. (2012) <http://proceedings.mlr.press/v22/virtanen12.html>

Description: Collective matrix factorization (CMF) finds joint low-rank representations for a collection of matrices with shared row or column entities. This code learns variational Bayesian approximation for CMF, supporting multiple likelihood potentials and missing data, while identifying both factors shared by multiple matrices and factors private for each matrix.

Title: Calibrated Model Fusion Approach to Combine Surrogate Markers
Authors@R: c(person("Xuan", "Wang", role = "aut"),
person("Layla", "Parast", role = "cre", email = "parast@austin.utexas.edu"))
Description: Uses a calibrated model fusion approach to optimally combine multiple surrogate markers. Specifically, two initial estimates of optimal composite scores of the markers are obtained; the optimal calibrated combination of the two estimated scores is then constructed which ensures both validity of the final combined score and optimality with respect to the proportion of treatment effect explained (PTE) by the final combined score. The primary function, pte.estimate.multiple(), estimates the PTE of the identified combination of multiple surrogate markers. Details are described in Wang et al (2022) <doi:10.1111/biom.13677>.

Title: Cochran-Mantel-Haenszel and Nonparametric ANOVA
Authors@R: c( person("G. C.", "Livingston Jr", role = c("aut", "cre","cph"),
person("J.C.W.", "Rayner", role = "aut") )
Description: Cochran-Mantel-Haenszel methods (Cochran (1954) <doi:10.2307/3001616>; Mantel and Haenszel (1959) <doi:10.1093/jnci/22.4.719>; Landis et al. (1978) <doi:10.2307/1402373>) are a suite of tests applicable to categorical data. A competitor to those tests is the procedure of Nonparametric ANOVA which was initially introduced in Rayner and Best (2013) <doi:10.1111/anzs.12041>. The methodology was then extended in Rayner et al. (2015) <doi:10.1111/anzs.12113>. This package employs functions related to both methodologies and serves as an accompaniment to the book: An Introduction to Cochran–Mantel–Haenszel and Non-Parametric ANOVA. The package also contains the data sets used in that text.
Author: G. C. Livingston Jr [aut, cre, cph],
Maintainer: G. C. Livingston Jr <Glen.LivingstonJr@newcastle.edu.au>