c( person("G. C.", "Livingston Jr", role = c("aut", "cre","cph"),
email = "Glen.LivingstonJr@newcastle.edu.au"),
person("J.C.W.", "Rayner", role = "aut") )
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.
G. C. Livingston Jr [aut, cre, cph],
J.C.W. Rayner [aut]
G. C. Livingston Jr <Glen.LivingstonJr@newcastle.edu.au>

Solves multivariate least squares (MLS) problems subject to constraints on the coefficients, e.g., non-negativity, orthogonality, equality, inequality, monotonicity, unimodality, smoothness, etc. Includes flexible functions for solving MLS problems subject to user-specified equality and/or inequality constraints, as well as a wrapper function that implements 24 common constraint options. Also does k-fold or generalized cross-validation to tune constraint options for MLS problems. See ten Berge (1993, ISBN:9789066950832) for an overview of MLS problems, and see Goldfarb and Idnani (1983) <doi:10.1007/BF02591962> for a discussion of the underlying quadratic programming algorithm.

c(person("Ziqiang","Lin",email="linziqiang0314@gmail.com",role=c("aut","cre")),
person("Jinqun","Cheng",email="cheng_jinqun@163.com",role=c("aut")),
person("Qiaoxuan","Lin",email="qxlin03@outlook.com",role=c("aut")),
person("Wayne","Lawrence",email="wayne.lawrence@nih.gov",role=c("aut")),
person("Wangjian","Zhang",email="zhangwj35@mail2.sysu.edu.cn",role=c("aut")),
person("Yanhui","Gao",email="gao_yanhui@163.com",role=c("aut")))
A compositional mediation model for continuous outcome and binary outcomes to deal with mediators that are compositional data. Lin, Ziqiang et al. (2022) <doi:10.1016/j.jad.2021.12.019>.
Ziqiang Lin [aut, cre],
Jinqun Cheng [aut],
Qiaoxuan Lin [aut],
Wayne Lawrence [aut],
Wangjian Zhang [aut],
Yanhui Gao [aut]